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ORCIDFrancisco Herrera
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- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence
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2020 – today
- 2024
[j583]Juan-Luis Suárez
, Germán González-Almagro, Salvador García, Francisco Herrera:
Metric learning for monotonic classification: turning the space up to the limits of monotonicity. Appl. Intell. 54(5): 4443-4466 (2024)- [j582]Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. Cogn. Comput. 16(4): 1572-1588 (2024) - [j581]María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera:
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11(4): 824-850 (2024) - [j580]Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera:
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103: 102135 (2024) - [j579]Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106: 102301 (2024) - [j578]Jeronimo Duran, Antonio-Francisco Roldán-López-de-Hierro, Francisco Herrera, Rosana Montes:
On-line linguistic Decision Support System based on Citizen Crowd Decision Making. Inf. Fusion 108: 102416 (2024) - [j577]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger:
On generating trustworthy counterfactual explanations. Inf. Sci. 655: 119898 (2024) - [j576]Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera:
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. Trans. Assoc. Comput. Linguistics 12: 630-648 (2024) - [j575]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [j574]Yao Li, Meiqian Chen, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Measuring Additive Consistency of Linguistic Preference Relations in a Personalized-Individual-Semantics Context: A Systematic Investigation With Axiomatic Design. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2613-2624 (2024) - [c235]Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera:
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ 2024: 1-8 - [c234]Ignacio Antequera-Sánchez, Juan Luis Suárez-Díaz, Rosana Montes, Francisco Herrera:
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies. HAIS (2) 2024: 165-176 - [c233]Juan José Herrera Aranda, Francisco Herrera, Isaac Triguero:
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. HAIS (2) 2024: 177-189 - [c232]Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. IJCNN 2024: 1-8 - [c231]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. IJCNN 2024: 1-8 - [c230]Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera:
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. IJCNN 2024: 1-8 - [d1]Rosana Montes, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera, Paloma de Palacios, Alberto García-Iruela, G. Estevan Luis:
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. Zenodo, 2024
- [i70]Rosana Montes, Cristina Zuheros, Jeovani M. Morales, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool. CoRR abs/2402.01775 (2024) - [i69]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. CoRR abs/2403.05550 (2024) - [i68]Cristina Zuheros, David Herrera-Poyatos, Rosana Montes, Francisco Herrera:
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges. CoRR abs/2403.15587 (2024) - [i67]Alberto Argente-Garrido, Cristina Zuheros, María Victoria Luzón, Francisco Herrera:
An Interpretable Client Decision Tree Aggregation process for Federated Learning. CoRR abs/2404.02510 (2024) - [i66]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
SHIELD: A regularization technique for eXplainable Artificial Intelligence. CoRR abs/2404.02611 (2024) - [i65]Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón:
FLEX: FLEXible Federated Learning Framework. CoRR abs/2404.06127 (2024) - [i64]José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera:
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence. CoRR abs/2405.12326 (2024) - [i63]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. CoRR abs/2406.11772 (2024) - [i62]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - [i61]José Daniel Pascual-Triana, Alberto Fernández, Paulo Novais, Francisco Herrera:
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction. CoRR abs/2407.14210 (2024) - [i60]David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos:
Small data deep learning methodology for in-field disease detection. CoRR abs/2409.17119 (2024) - 2023
- [j573]Rosana Montes, Cristina Zuheros, Jeovani Morales, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool. Appl. Soft Comput. 147: 110755 (2023) - [j572]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Appl. Soft Comput. 147: 110757 (2023) - [j571]Mengqi Li, Xia Liu, Yejun Xu, Francisco Herrera:
An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations. Comput. Ind. Eng. 176: 108981 (2023) - [j570]Mengqi Li, Jing Huang, Xia Liu, Yejun Xu, Francisco Herrera:
Corrigendum to "An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations" [Comput. Ind. Eng. 176 (2023) 108981]. Comput. Ind. Eng. 183: 109431 (2023) - [j569]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. Int. J. Intell. Syst. 2023: 1-34 (2023) - [j568]Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera:
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517: 223-228 (2023) - [j567]Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera:
Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544: 126228 (2023) - [j566]Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. Inf. Fusion 90: 148-173 (2023) - [j565]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Iyad A. Katib, Francisco Herrera:
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery. Inf. Fusion 97: 101821 (2023) - [j564]Sajid Ali, Tamer Abuhmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera:
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99: 101805 (2023) - [j563]Iosu Rodríguez-Martínez, Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Francisco Herrera, Zdenko Takác, Humberto Bustince:
Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks. Inf. Fusion 99: 101893 (2023) - [j562]Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera:
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Inf. Fusion 99: 101896 (2023) - [j561]David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo:
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Inf. Fusion 100: 101957 (2023) - [j560]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks 158: 59-82 (2023) - [j559]Zhaogang Ding, Xia Chen, Yucheng Dong, Shui Yu, Francisco Herrera:
Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels. IEEE Trans. Comput. Soc. Syst. 10(5): 2882-2892 (2023) - [j558]Mengqi Li, Yejun Xu, Xia Liu, Francisco Chiclana, Francisco Herrera:
A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making. IEEE Trans. Cybern. 53(6): 3399-3413 (2023) - [j557]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. IEEE Trans. Cybern. 53(8): 4735-4747 (2023) - [j556]Jiang Deng, Jianming Zhan, Enrique Herrera-Viedma, Francisco Herrera:
Regret Theory-Based Three-Way Decision Method on Incomplete Multiscale Decision Information Systems With Interval Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 31(3): 982-996 (2023) - [j555]Zhibin Wu, Qinyue Zhou, Yucheng Dong, Jiuping Xu, Abdulrahman H. Altalhi, Francisco Herrera:
Mixed Opinion Dynamics Based on DeGroot Model and Hegselmann-Krause Model in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 296-308 (2023) - [j554]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 369-379 (2023) - [c229]Francisco Herrera:
Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness. ECBS 2023: 7-11 - [c228]Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera:
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS 2023: 39-48 - [c227]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
Optimizing LIME Explanations Using REVEL Metrics. HAIS 2023: 304-313 - [c226]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 135-139 - [i59]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness. CoRR abs/2302.10253 (2023) - [i58]Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera:
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation. CoRR abs/2305.02231 (2023) - [i57]Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera:
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR abs/2307.14283 (2023) - [i56]Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR abs/2310.19775 (2023) - [i55]Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. CoRR abs/2311.11717 (2023) - 2022
- [j553]Xiu Liu, Ning Wang, Daniel Molina, Francisco Herrera:
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Appl. Soft Comput. 117: 108357 (2022) - [j552]Tong Wu, Cristina Zuheros, Xinwang Liu, Francisco Herrera:
Managing minority opinions in large-scale group decision making based on community detection and group polarization. Comput. Ind. Eng. 170: 108337 (2022) - [j551]Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura:
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. 14(4): 1474-1495 (2022) - [j550]Víctor Adrián Sosa-Hernández, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Francisco Herrera:
A Practical Tutorial for Decision Tree Induction: Evaluation Measures for Candidate Splits and Opportunities. ACM Comput. Surv. 54(1): 18:1-18:38 (2022) - [j549]Juan Fernández Salas, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera:
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Eng. Appl. Artif. Intell. 107: 104511 (2022) - [j548]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
Dynamic defense against byzantine poisoning attacks in federated learning. Future Gener. Comput. Syst. 133: 1-9 (2022) - [j547]Alberto Lamas, Siham Tabik, Antonio Cano Montes, Francisco Pérez-Hernández, Jorge García-Torres Fernández, Roberto Olmos, Francisco Herrera:
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. Neurocomputing 489: 488-503 (2022) - [j546]Xia Liu, Yejun Xu, Zaiwu Gong, Francisco Herrera:
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns. Inf. Fusion 77: 220-232 (2022) - [j545]Julián Luengo, Raúl Moreno, Iván Sevillano-García, David Charte, Adrián Peláez-Vegas, Marta Fernández-Moreno, Pablo Mesejo, Francisco Herrera:
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Inf. Fusion 78: 232-253 (2022) - [j544]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j543]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j542]Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Francisco Herrera:
Explanation sets: A general framework for machine learning explainability. Inf. Sci. 617: 464-481 (2022) - [j541]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. Knowl. Based Syst. 245: 108588 (2022) - [j540]Alaiñe Iturria, Jokin Labaien, Santi Charramendieta, Aizea Lojo, Javier Del Ser, Francisco Herrera:
A framework for adapting online prediction algorithms to outlier detection over time series. Knowl. Based Syst. 256: 109823 (2022) - [j539]Iosu Rodríguez-Martínez, Julio Lafuente, Regivan H. N. Santiago, Graçaliz Pereira Dimuro, Francisco Herrera, Humberto Bustince:
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions. Neural Networks 152: 380-393 (2022) - [j538]David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9549-9560 (2022) - [j537]Sebastián Maldonado, Carla Vairetti, Alberto Fernández, Francisco Herrera:
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. Pattern Recognit. 124: 108511 (2022) - [j536]Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning. IEEE Trans. Evol. Comput. 26(2): 233-247 (2022) - [j535]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making. IEEE Trans. Fuzzy Syst. 30(11): 4741-4753 (2022) - [j534]Cong-Cong Li, Yucheng Dong, Witold Pedrycz, Francisco Herrera:
Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1525-1536 (2022) - [j533]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5271-5283 (2022) - [c225]Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera:
A Preliminary Approach for using Metric Learning in Monotonic Classification. IEA/AIE 2022: 773-784 - [i54]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i53]Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. CoRR abs/2201.08135 (2022) - [i52]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. CoRR abs/2202.03844 (2022) - [i51]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. CoRR abs/2204.10231 (2022) - [i50]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger:
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR abs/2205.10232 (2022) - [i49]Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera:
TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study). CoRR abs/2206.03179 (2022) - [i48]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i47]Iván Sevillano-García, Julián Luengo-Martín, Francisco Herrera:
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study. CoRR abs/2211.06154 (2022) - 2021
- [j532]Ismay Pérez-Sánchez, Bárbara Cervantes, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Salvador García, Francisco Herrera:
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification. IEEE Access 9: 85488-85499 (2021) - [j531]Iván Palomares, Eugenio Martínez-Cámara, Rosana Montes, Pablo García-Moral, Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco J. Melero, Daniel Molina, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera:
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Appl. Intell. 51(9): 6497-6527 (2021) - [j530]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design. Appl. Soft Comput. 111: 107665 (2021) - [j529]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: a cellular automaton for concept drift detection. Data Min. Knowl. Discov. 35(6): 2655-2678 (2021) - [j528]Ernesto León-Castro, Luis F. Espinoza-Audelo, José M. Merigó, Enrique Herrera-Viedma, Francisco Herrera:
Measuring volatility based on ordered weighted average operators: The case of agricultural product prices. Fuzzy Sets Syst. 422: 161-176 (2021) - [j527]Alberto Lamas, Siham Tabik, Policarpo Cruz, Rosana Montes, Álvaro Martínez-Sevilla, Teresa Cruz, Francisco Herrera:
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420: 266-280 (2021) - [j526]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges. Neurocomputing 425: 300-322 (2021) - [j525]Sergio González, Salvador García, Sheng-Tun Li, Robert Ivor John, Francisco Herrera:
Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. Neurocomputing 439: 106-121 (2021) - [j524]Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera:
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing 462: 440-452 (2021) - [j523]J. A. Fdez-Sánchez, José Daniel Pascual-Triana, Alberto Fernández, Francisco Herrera:
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies. Neurocomputing 463: 514-524 (2021) - [j522]Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence. Inf. Fusion 65: 165-178 (2021) - [j521]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j520]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews. Inf. Fusion 68: 22-36 (2021) - [j519]Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. Inf. Fusion 71: 97-98 (2021) - [j518]Giancarlo Fortino, Rajkumar Buyya, Min Chen, Francisco Herrera:
Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things. IEEE Internet Things J. 8(13): 10220-10221 (2021) - [j517]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543: 467-487 (2021) - [j516]Mingwei Lin, Zheyu Chen, Zeshui Xu, Xunjie Gou, Francisco Herrera:
Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR. Inf. Sci. 551: 270-290 (2021) - [j515]David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Inf. Sci. 558: 124-139 (2021) - [j514]Xiaoli Tian, Zeshui Xu, Jing Gu, Francisco Herrera:
A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital. Inf. Sci. 562: 347-369 (2021) - [j513]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. Inf. Sci. 570: 577-598 (2021) - [j512]Xiangrui Chao, Gang Kou, Yi Peng, Enrique Herrera-Viedma, Francisco Herrera:
An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement. Inf. Sci. 575: 499-527 (2021) - [j511]Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera:
Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Inf. Sci. 579: 388-400 (2021) - [j510]Ming Tang, Huchang Liao, Xiaomei Mi, Xuanhua Xu, Francisco Herrera:
Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment. J. Oper. Res. Soc. 72(4): 865-878 (2021) - [j509]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare. J. Oper. Res. Soc. 72(12): 2611-2630 (2021) - [j508]José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera:
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect. Knowl. Inf. Syst. 63(7): 1961-1989 (2021) - [j507]Miguel López, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries. Knowl. Based Syst. 231: 107455 (2021) - [j506]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal regression with explainable distance metric learning based on ordered sequences. Mach. Learn. 110(10): 2729-2762 (2021) - [j505]Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera:
SOUL: Scala Oversampling and Undersampling Library for imbalance classification. SoftwareX 15: 100767 (2021) - [j504]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12149-12162 (2021) - [j503]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64: 100888 (2021) - [j502]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera:
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm Evol. Comput. 67: 100973 (2021) - [j501]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations. IEEE Trans. Cybern. 51(1): 283-296 (2021) - [j500]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Balance Dynamic Clustering Analysis and Consensus Reaching Process With Consensus Evolution Networks in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 29(2): 357-371 (2021) - [j499]Yucheng Dong, Min Zhan, Zhaogang Ding, Haiming Liang, Francisco Herrera:
Numerical Interval Opinion Dynamics in Social Networks: Stable State and Consensus. IEEE Trans. Fuzzy Syst. 29(3): 584-598 (2021) - [j498]Haiming Liang, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Linguistic Opinions Dynamics Based on Personalized Individual Semantics. IEEE Trans. Fuzzy Syst. 29(9): 2453-2466 (2021) - [j497]Enrique Herrera-Viedma, Iván Palomares, Cong-Cong Li, Francisco Javier Cabrerizo, Yucheng Dong, Francisco Chiclana, Francisco Herrera:
Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 191-208 (2021) - [j496]Yucheng Dong, Quanbo Zha, Hengjie Zhang, Francisco Herrera:
Consensus Reaching and Strategic Manipulation in Group Decision Making With Trust Relationships. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6304-6318 (2021) - [c224]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. DSAA 2021: 1-2 - [c223]David Charte, Iván Sevillano-García, María Jesús Lucena-González, José Luis Martín-Rodríguez, Francisco Charte, Francisco Herrera:
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. HAIS 2021: 305-315 - [c222]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Distance Metric Learning with Prototype Selection for Imbalanced Classification. HAIS 2021: 391-402 - [c221]Ángel Miguel García-Vico, Francisco Herrera:
A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks. HAIS 2021: 564-575 - [c220]Lukas Johannes Dust, Marina López Murcia, Andreas Mäkilä, Petter Nordin, Ning Xiong, Francisco Herrera:
Federated Fuzzy Learning with Imbalanced Data. ICMLA 2021: 1130-1137 - [c219]Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera:
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. SSCI 2021: 1-7 - [e10]Paulo Novais, Gianni Viardo Vercelli, Josep Lluís Larriba-Pey, Francisco Herrera, Pablo Chamoso:
Ambient Intelligence - Software and Applications - 11th International Symposium on Ambient Intelligence, ISAmI 2020, L'Aquila, Italy, October 7 - 9, 2020. Advances in Intelligent Systems and Computing 1239, Springer 2021, ISBN 978-3-030-58355-2 [contents] - [i46]Roberto Olmos, Siham Tabik, Francisco Pérez-Hernández, Alberto Lamas, Francisco Herrera:
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. CoRR abs/2104.11653 (2021) - [i45]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i44]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. CoRR abs/2105.11844 (2021) - [i43]Jacinto Carrasco, Irina Markova, David López, Ignacio Aguilera, Diego García, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera:
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms. CoRR abs/2105.12818 (2021) - [i42]Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera:
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training. CoRR abs/2109.03748 (2021) - [i41]David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions. CoRR abs/2111.06142 (2021) - 2020
- [b7]Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Big Data Preprocessing - Enabling Smart Data. Springer 2020, ISBN 978-3-030-39104-1, pp. 1-186 - [j495]Jesús Maillo, Isaac Triguero, Francisco Herrera:
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access 8: 87918-87928 (2020) - [j494]Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik:
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access 8: 124236-124253 (2020) - [j493]Huchang Liao, Ming Tang, Rui Qin, Xiaomei Mi, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next. Cogn. Comput. 12(1): 25-48 (2020) - [j492]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cogn. Comput. 12(5): 897-939 (2020) - [j491]Sahar Tahvili, Leo Hatvani, Enislay Ramentol, Rita Pimentel, Wasif Afzal, Francisco Herrera:
A novel methodology to classify test cases using natural language processing and imbalanced learning. Eng. Appl. Artif. Intell. 95: 103878 (2020) - [j490]Carla Vairetti, Eugenio Martínez-Cámara, Sebastián Maldonado, María Victoria Luzón, Francisco Herrera:
Enhancing the classification of social media opinions by optimizing the structural information. Future Gener. Comput. Syst. 102: 838-846 (2020) - [j489]Jesús Giráldez-Cru, Manuel Chica, Oscar Cordón, Francisco Herrera:
Modeling agent-based consumers decision-making with 2-tuple fuzzy linguistic perceptions. Int. J. Intell. Syst. 35(2): 283-299 (2020) - [j488]Tong Wu, Xinwang Liu, Zaiwu Gong, Huanhuan Zhang, Francisco Herrera:
The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision-making. Int. J. Intell. Syst. 35(3): 470-493 (2020) - [j487]Alaiñe Iturria, Jacinto Carrasco, Santi Charramendieta, Angel Conde, Francisco Herrera:
otsad: A package for online time-series anomaly detectors. Neurocomputing 374: 49-53 (2020) - [j486]Yassir Benhammou, Boujemâa Achchab, Francisco Herrera, Siham Tabik:
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. Neurocomputing 375: 9-24 (2020) - [j485]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep learning in video multi-object tracking: A survey. Neurocomputing 381: 61-88 (2020) - [j484]Francisco Herrera, Ajith Abraham, Michal Wozniak, Hilde Pérez, Emilio Corchado:
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 391: 280-281 (2020) - [j483]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges. Neurocomputing 404: 93-107 (2020) - [j482]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [j481]Ru-Xi Ding, Iván Palomares, Xueqing Wang, Guo-Rui Yang, Bingsheng Liu, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Inf. Fusion 59: 84-102 (2020) - [j480]Hengjie Zhang, Sihai Zhao, Gang Kou, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges. Inf. Fusion 60: 65-79 (2020) - [j479]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. Inf. Fusion 62: 73-80 (2020) - [j478]Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera:
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64: 205-237 (2020) - [j477]Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Inf. Fusion 64: 270-292 (2020) - [j476]Francisco Luque Sánchez, Isabelle Hupont, Siham Tabik, Francisco Herrera:
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. Inf. Fusion 64: 318-335 (2020) - [j475]Huchang Liao, Xunjie Gou, Zeshui Xu, Xiao-Jun Zeng, Francisco Herrera:
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making. Inf. Sci. 508: 275-292 (2020) - [j474]Juan Antonio Cortés-Ibáñez, Sergio González, José Javier Valle-Alonso, Julián Luengo, Salvador García, Francisco Herrera:
Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020) - [j473]Qinyue Zhou, Zhibin Wu, Abdulrahman H. Altalhi, Francisco Herrera:
A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model. Inf. Sci. 519: 363-381 (2020) - [j472]Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal:
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. Inf. Sci. 520: 31-45 (2020) - [j471]Yao Li, Xia Chen, Yucheng Dong, Francisco Herrera:
Linguistic group decision making: Axiomatic distance and minimum cost consensus. Inf. Sci. 541: 242-258 (2020) - [j470]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [j469]Delia Irazú Hernández Farías, Ronaldo C. Prati, Francisco Herrera, Paolo Rosso:
Irony detection in Twitter with imbalanced class distributions. J. Intell. Fuzzy Syst. 39(2): 2147-2163 (2020) - [j468]Juan-Luis Suárez, Salvador García, Francisco Herrera:
pyDML: A Python Library for Distance Metric Learning. J. Mach. Learn. Res. 21: 96:1-96:7 (2020) - [j467]Saeed-Ul Hassan, Naif R. Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera:
Predicting literature's early impact with sentiment analysis in Twitter. Knowl. Based Syst. 192: 105383 (2020) - [j466]Francisco Pérez-Hernández, Siham Tabik, Alberto Castillo Lamas, Roberto Olmos, Hamido Fujita, Francisco Herrera:
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. Knowl. Based Syst. 194: 105590 (2020) - [j465]David Muñoz, Camilo Narváez, Carlos Cobos, Martha Mendoza, Francisco Herrera:
Incremental learning model inspired in Rehearsal for deep convolutional networks. Knowl. Based Syst. 208: 106460 (2020) - [j464]Emilio Guirado, Domingo Alcaraz-Segura, Javier Cabello, Sergio Puertas-Ruíz, Francisco Herrera, Siham Tabik:
Tree Cover Estimation in Global Drylands from Space Using Deep Learning. Remote. Sens. 12(3): 343 (2020) - [j463]Saeed-Ul Hassan, Naif R. Aljohani, Mudassir Shabbir, Umair Ali, Sehrish Iqbal, Raheem Sarwar, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera:
Tweet Coupling: a social media methodology for clustering scientific publications. Scientometrics 124(2): 973-991 (2020) - [j462]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm Evol. Comput. 54: 100665 (2020) - [j461]Arian Hafezalkotob, Ashkan Hafezalkotob, Huchang Liao, Francisco Herrera:
Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection. IEEE Trans. Cybern. 50(3): 1157-1169 (2020) - [j460]Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero:
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 874-886 (2020) - [j459]Fei-Yue Wang, Witold Pedrycz, Francisco Herrera, Shun-Feng Su:
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications. IEEE Trans. Fuzzy Syst. 28(12): 3063-3064 (2020) - [j458]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE J. Biomed. Health Informatics 24(12): 3595-3605 (2020) - [c218]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. CEC 2020: 1-8 - [c217]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CEC 2020: 1-8 - [c216]Jesús Giráldez-Cru, Manuel Chica, Oscar Cordón, Francisco Herrera:
2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors. FUZZ-IEEE 2020: 1-8 - [c215]José Ramón Trillo, Alberto Fernández, Francisco Herrera:
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules. FUZZ-IEEE 2020: 1-8 - [e9]Francisco Herrera, Kenji Matsui, Sara Rodríguez-González:
Distributed Computing and Artificial Intelligence, 16th International Conference, DCAI 2019, Avila, Spain, 26-28 June, 2019. Advances in Intelligent Systems and Computing 1003, Springer 2020, ISBN 978-3-030-23886-5 [contents] - [i40]Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data based Ensemble for Imbalanced Big Data Classification. CoRR abs/2001.05759 (2020) - [i39]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. CoRR abs/2001.11486 (2020) - [i38]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular Automata for Drifting Data Streams. CoRR abs/2002.02164 (2020) - [i37]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. CoRR abs/2002.08136 (2020) - [i36]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. CoRR abs/2002.09227 (2020) - [i35]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization. CoRR abs/2002.12133 (2020) - [i34]Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera:
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. CoRR abs/2003.02601 (2020) - [i33]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CoRR abs/2003.10768 (2020) - [i32]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. CoRR abs/2004.09969 (2020) - [i31]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
A Showcase of the Use of Autoencoders in Feature Learning Applications. CoRR abs/2005.04321 (2020) - [i30]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges. CoRR abs/2005.10516 (2020) - [i29]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images. CoRR abs/2006.01409 (2020) - [i28]Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. CoRR abs/2007.00914 (2020) - [i27]José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera:
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect. CoRR abs/2007.07935 (2020) - [i26]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera:
Dynamic Federated Learning Model for Identifying Adversarial Clients. CoRR abs/2007.15030 (2020) - [i25]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid. CoRR abs/2008.00032 (2020) - [i24]Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence. CoRR abs/2008.01499 (2020) - [i23]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. CoRR abs/2008.03620 (2020) - [i22]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR abs/2009.09677 (2020) - [i21]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. CoRR abs/2010.03917 (2020)
2010 – 2019
- 2019
- [j457]Xiaomei Mi, Xingli Wu, Ming Tang, Huchang Liao, Abdullah Al-Barakati, Abdulrahman H. Altalhi, Francisco Herrera:
Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing. IEEE Access 7: 44135-44149 (2019) - [j456]Danilo Valdes-Ramirez, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Jorge Rodríguez-Ruiz, Aythami Morales, Francisco Herrera:
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation. IEEE Access 7: 48484-48499 (2019) - [j455]Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni:
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? IEEE Comput. Intell. Mag. 14(1): 69-81 (2019) - [j454]Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera:
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11(3): 329-330 (2019) - [j453]Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera:
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Eng. Appl. Artif. Intell. 82: 30-43 (2019) - [j452]Bingsheng Liu, Qi Zhou, Ru-Xi Ding, Iván Palomares, Francisco Herrera:
Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination. Eur. J. Oper. Res. 275(2): 737-754 (2019) - [j451]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Syst. Appl. 118: 315-328 (2019) - [j450]Yejun Xu, Francisco Herrera:
Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations. Fuzzy Sets Syst. 362: 85-109 (2019) - [j449]Miguel León Ortiz, Ning Xiong, Daniel Molina, Francisco Herrera:
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. Int. J. Comput. Intell. Syst. 12(2): 795-808 (2019) - [j448]Xia Liu, Yejun Xu, Rosana Montes, Yucheng Dong, Francisco Herrera:
Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making. Int. J. Intell. Syst. 34(5): 920-946 (2019) - [j447]Saeed-Ul Hassan, Hajra Waheed, Naif R. Aljohani, Mohsen Ali, Sebastián Ventura, Francisco Herrera:
Virtual learning environment to predict withdrawal by leveraging deep learning. Int. J. Intell. Syst. 34(8): 1935-1952 (2019) - [j446]Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera:
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. Int. J. Intell. Syst. 34(12): 3260-3274 (2019) - [j445]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing 326-327: 39-53 (2019) - [j444]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing 326-327: 110-122 (2019) - [j443]Alberto Castillo, Siham Tabik, Francisco Pérez, Roberto Olmos, Francisco Herrera:
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330: 151-161 (2019) - [j442]Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera:
Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing 353: 3-16 (2019) - [j441]Francisco Javier Martínez de Pisón Ascacíbar, Francisco Herrera, Ajith Abraham, Michal Wozniak, Emilio Corchado:
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. Neurocomputing 354: 1-2 (2019) - [j440]Ignacio Cordón, Julián Luengo, Salvador García, Francisco Herrera, Francisco Charte:
Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019) - [j439]Huchang Liao, Rui Qin, Chenyuan Gao, Xingli Wu, Arian Hafezalkotob, Francisco Herrera:
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA. Inf. Fusion 48: 39-54 (2019) - [j438]Roberto Olmos, Siham Tabik, Alberto Castillo Lamas, Francisco Pérez-Hernández, Francisco Herrera:
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Inf. Fusion 49: 271-280 (2019) - [j437]Ru-Xi Ding, Xueqing Wang, Kun Shang, Francisco Herrera:
Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation. Inf. Fusion 50: 251-272 (2019) - [j436]Arian Hafezalkotob, Ashkan Hafezalkotob, Huchang Liao, Francisco Herrera:
An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Inf. Fusion 51: 145-177 (2019) - [j435]Cong-Cong Li, Yucheng Dong, Yejun Xu, Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera:
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions. Inf. Fusion 52: 143-156 (2019) - [j434]Xia Liu, Yejun Xu, Francisco Herrera:
Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors. Inf. Fusion 52: 245-256 (2019) - [j433]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making. Inf. Fusion 52: 375-388 (2019) - [j432]Sergio González, Salvador García, Sheng-Tun Li, Francisco Herrera:
Chain based sampling for monotonic imbalanced classification. Inf. Sci. 474: 187-204 (2019) - [j431]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. Inf. Sci. 479: 135-152 (2019) - [j430]Miguel López, Ana Valdivia, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation. Inf. Sci. 480: 273-286 (2019) - [j429]Zhaogang Ding, Xia Chen, Yucheng Dong, Francisco Herrera:
Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree. Inf. Sci. 486: 62-72 (2019) - [j428]Xunjie Gou, Huchang Liao, Zeshui Xu, Rui Min, Francisco Herrera:
Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model. Inf. Sci. 489: 93-112 (2019) - [j427]Xia Liu, Yejun Xu, Rosana Montes, Francisco Herrera:
Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism. Inf. Sci. 505: 215-232 (2019) - [j426]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
Instance reduction for one-class classification. Knowl. Inf. Syst. 59(3): 601-628 (2019) - [j425]Ronaldo C. Prati, Julián Luengo, Francisco Herrera:
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowl. Inf. Syst. 60(1): 63-97 (2019) - [j424]Yejun Xu, Feng Ma, Francisco Herrera:
Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies. Knowl. Based Syst. 163: 305-319 (2019) - [j423]Cristina Zuheros, Siham Tabik, Ana Valdivia, Eugenio Martínez-Cámara, Francisco Herrera:
Deep recurrent neural network for geographical entities disambiguation on social media data. Knowl. Based Syst. 173: 117-127 (2019) - [j422]David Charte, Francisco Herrera, Francisco Charte:
Ruta: Implementations of neural autoencoders in R. Knowl. Based Syst. 174: 4-8 (2019) - [j421]Ming Tang, Xiaoyang Zhou, Huchang Liao, Jiuping Xu, Hamido Fujita, Francisco Herrera:
Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making. Knowl. Based Syst. 180: 62-74 (2019) - [j420]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Francisco Herrera:
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks. Knowl. Based Syst. 184 (2019) - [j419]Bingsheng Liu, Qi Zhou, Ru-Xi Ding, Wei Ni, Francisco Herrera:
Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model. Knowl. Based Syst. 186 (2019) - [j418]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Prog. Artif. Intell. 8(1): 1-14 (2019) - [j417]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. Prog. Artif. Intell. 8(3): 287-292 (2019) - [j416]Anastasiia Safonova, Siham Tabik, Domingo Alcaraz-Segura, Alexey Rubtsov, Yuriy Maglinets, Francisco Herrera:
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. Remote. Sens. 11(6): 643 (2019) - [j415]Salma Elhag, Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems. Soft Comput. 23(4): 1321-1336 (2019) - [j414]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j413]Xia Liu, Yejun Xu, Rosana Montes, Ru-Xi Ding, Francisco Herrera:
Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 27(1): 159-171 (2019) - [j412]Cong-Cong Li, Yucheng Dong, Francisco Herrera:
A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups. IEEE Trans. Fuzzy Syst. 27(2): 221-233 (2019) - [j411]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez-López, Yucheng Dong, Francisco Herrera:
Consensus Building With Individual Consistency Control in Group Decision Making. IEEE Trans. Fuzzy Syst. 27(2): 319-332 (2019) - [j410]Ru-Xi Ding, Xueqing Wang, Kun Shang, Bingsheng Liu, Francisco Herrera:
Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making. IEEE Trans. Fuzzy Syst. 27(3): 559-573 (2019) - [j409]Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez:
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Trans. Fuzzy Syst. 27(4): 701-715 (2019) - [j408]Lei-Lei Chang, Zhi-Jie Zhou, Huchang Liao, Yu-Wang Chen, Xu Tan, Francisco Herrera:
Generic Disjunctive Belief-Rule-Base Modeling, Inferencing, and Optimization. IEEE Trans. Fuzzy Syst. 27(9): 1866-1880 (2019) - [j407]Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. WIREs Data Mining Knowl. Discov. 9(2) (2019) - [c214]Daniel Molina, Francisco Herrera:
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. CEC 2019: 7-13 - [c213]Francisco Herrera:
Quality Data Processing for Deep Learning. COMPLEXIS 2019: 5 - [c212]Eugenio Martínez Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera:
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. FedCSIS 2019: 255-264 - [c211]Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera:
A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323 - [c210]Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera:
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS 2019: 324-331 - [c209]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
A Showcase of the Use of Autoencoders in Feature Learning Applications. IWINAC (2) 2019: 412-421 - [c208]María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera:
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing. JCC&BD 2019: 75-85 - [i20]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep Learning in Video Multi-Object Tracking: A Survey. CoRR abs/1907.12740 (2019) - [i19]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR abs/1910.10045 (2019) - 2018
- [b6]Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera:
Learning from Imbalanced Data Sets. Springer 2018, ISBN 978-3-319-98073-7, pp. 1-377 - [j406]Min Chen, Francisco Herrera, Kai Hwang:
Cognitive Computing: Architecture, Technologies and Intelligent Applications. IEEE Access 6: 19774-19783 (2018) - [j405]Ziguo Fu, Xingli Wu, Huchang Liao, Francisco Herrera:
Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method. IEEE Access 6: 66442-66458 (2018) - [j404]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Appl. Soft Comput. 67: 941-952 (2018) - [j403]Deborah Galpert, Alberto Fernández, Francisco Herrera, Agostinho Antunes, Reinaldo Molina Ruiz, Guillermín Agüero-Chapín:
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers. BMC Bioinform. 19(1): 166:1-166:17 (2018) - [j402]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment. Comput. Ind. Eng. 126: 516-530 (2018) - [j401]Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13(2): 18-29 (2018) - [j400]Daniel Molina, Antonio LaTorre, Francisco Herrera:
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cogn. Comput. 10(4): 517-544 (2018) - [j399]Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86: 59-70 (2018) - [j398]Antonio-Francisco Roldán-López-de-Hierro, Concepción Roldán, Francisco Herrera:
On a new methodology for ranking fuzzy numbers and its application to real economic data. Fuzzy Sets Syst. 353: 86-110 (2018) - [j397]Francisco Padillo, José María Luna, Francisco Herrera, Sebastián Ventura:
Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. 25(1): 31-48 (2018) - [j396]Huchang Liao, Zeshui Xu, Francisco Herrera, José M. Merigó:
Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications. Int. J. Fuzzy Syst. 20(7): 2083 (2018) - [j395]Huchang Liao, Zeshui Xu, Enrique Herrera-Viedma, Francisco Herrera:
Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey. Int. J. Fuzzy Syst. 20(7): 2084-2110 (2018) - [j394]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33(1): 213-230 (2018) - [j393]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic handgun detection alarm in videos using deep learning. Neurocomputing 275: 66-72 (2018) - [j392]Zhongliang Zhang, Xinggang Luo, Sergio González, Salvador García, Francisco Herrera:
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. Neurocomputing 285: 176-187 (2018) - [j391]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing 289: 68-85 (2018) - [j390]Cristina Zuheros, Cong-Cong Li, Francisco Javier Cabrerizo, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Computing with Words: Revisiting the Qualitative Scale. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 127-143 (2018) - [j389]Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera:
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Inf. Fusion 42: 51-61 (2018) - [j388]Iti Chaturvedi, Erik Cambria, Roy E. Welsch, Francisco Herrera:
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. Inf. Fusion 44: 65-77 (2018) - [j387]David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Inf. Fusion 44: 78-96 (2018) - [j386]Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera:
Consensus vote models for detecting and filtering neutrality in sentiment analysis. Inf. Fusion 44: 126-135 (2018) - [j385]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez, Yucheng Dong, Francisco Herrera:
Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Inf. Sci. 432: 347-361 (2018) - [j384]Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys:
Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. 433-434: 96-114 (2018) - [j383]Salvador García, Zhongliang Zhang, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Dynamic ensemble selection for multi-class imbalanced datasets. Inf. Sci. 445-446: 22-37 (2018) - [j382]Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla:
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary. J. Artif. Intell. Res. 61: 863-905 (2018) - [j381]María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera:
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data. J. Comput. Sci. Technol. 18(03): 23 (2018) - [j380]Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowl. Inf. Syst. 56(1): 55-84 (2018) - [j379]Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy. Knowl. Based Syst. 139: 89-100 (2018) - [j378]Julián Luengo, Seong-O Shim, Saleh Alshomrani, Abdulrahman H. Altalhi, Francisco Herrera:
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring. Knowl. Based Syst. 140: 27-49 (2018) - [j377]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez, Yucheng Dong, Francisco Herrera:
Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowl. Based Syst. 145: 156-165 (2018) - [j376]Giovanni Acampora, Francisco Herrera, Genoveffa Tortora, Autilia Vitiello:
A multi-objective evolutionary approach to training set selection for support vector machine. Knowl. Based Syst. 147: 94-108 (2018) - [j375]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150: 166-174 (2018) - [j374]Huchang Liao, Xingli Wu, Xuedong Liang, Jian-Bo Yang, Dong-Ling Xu, Francisco Herrera:
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowl. Based Syst. 153: 65-77 (2018) - [j373]Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos:
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. Knowl. Based Syst. 153: 176-192 (2018) - [j372]Xunjie Gou, Zeshui Xu, Francisco Herrera:
Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations. Knowl. Based Syst. 157: 20-33 (2018) - [j371]Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera:
Imbalance: Oversampling algorithms for imbalanced classification in R. Knowl. Based Syst. 161: 329-341 (2018) - [j370]Rosa M. Rodríguez, Yejun Xu, Luis Martínez-López, Francisco Herrera:
Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy. J. Multiple Valued Log. Soft Comput. 30(2-3): 129-154 (2018) - [j369]Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera:
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83: 34-51 (2018) - [j368]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38: 240-250 (2018) - [j367]Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6(4): 929-941 (2018) - [j366]Huchang Liao, Xiaomei Mi, Zeshui Xu, Jiuping Xu, Francisco Herrera:
Intuitionistic Fuzzy Analytic Network Process. IEEE Trans. Fuzzy Syst. 26(5): 2578-2590 (2018) - [j365]Xingli Wu, Huchang Liao, Zeshui Xu, Arian Hafezalkotob, Francisco Herrera:
Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Trans. Fuzzy Syst. 26(6): 3688-3702 (2018) - [j364]Huchang Liao, Xingli Wu, Xuedong Liang, Jiuping Xu, Francisco Herrera:
A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making. IEEE Trans. Fuzzy Syst. 26(6): 3793-3807 (2018) - [j363]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1441-1453 (2018) - [c207]Andres Jesus Sanchez, Luis Felipe Romero, Siham Tabik, Miguel Angel Medina-Pérez, Francisco Herrera:
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering. CAEPIA 2018: 361-371 - [c206]Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera:
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC 2018: 1-8 - [c205]Daniel Molina, Antonio LaTorre, Francisco Herrera:
SHADE with Iterative Local Search for Large-Scale Global Optimization. CEC 2018: 1-8 - [c204]Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero:
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. FUZZ-IEEE 2018: 1-8 - [c203]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO 2018: 513-520 - [c202]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. HAIS 2018: 15-26 - [c201]Julián Fernando Muñoz-Ordóñez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik:
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. IDEAL (1) 2018: 801-811 - [c200]Huchang Liao, Xingli Wu, Francisco Herrera:
DNBMA: A Double Normalization-Based Multi-Aggregation Method. IPMU (3) 2018: 63-73 - [c199]Jeovani Morales, Rosana Montes, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
The Use of Fuzzy Linguistic Information and Fuzzy Delphi Method to Validate by Consensus a Questionnaire in a Blended-Learning Environment. IPMU (3) 2018: 137-149 - [c198]Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera:
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL 2018: 3:1-3:6 - [c197]Yassir Benhammou, Siham Tabik, Boujemâa Achchab, Francisco Herrera:
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer. LOPAL 2018: 47:1-47:6 - [c196]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera:
SCI2S at TASS 2018: Emotion Classification with Recurrent Neural Networks. TASS@SEPLN 2018: 117-123 - [e8]Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordón, Antonio González, Alicia Troncoso:
Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23-26, 2018, Proceedings. Lecture Notes in Computer Science 11160, Springer 2018, ISBN 978-3-030-00373-9 [contents] - [i18]David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. CoRR abs/1801.01586 (2018) - [i17]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. CoRR abs/1802.03568 (2018) - [i16]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR abs/1802.05031 (2018) - [i15]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR abs/1802.05033 (2018) - [i14]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation. CoRR abs/1804.00516 (2018) - [i13]Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR abs/1804.05774 (2018) - [i12]Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera:
DPASF: A Flink Library for Streaming Data preprocessing. CoRR abs/1810.06021 (2018) - [i11]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR abs/1810.09733 (2018) - [i10]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. CoRR abs/1811.12044 (2018) - [i9]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. CoRR abs/1812.05944 (2018) - 2017
- [j362]Alberto Fernández, Sara del Río, Abdullah Bawakid, Francisco Herrera:
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis. Adv. Data Anal. Classif. 11(4): 711-730 (2017) - [j361]Zhongliang Zhang, Xinggang Luo, Salvador García, Francisco Herrera:
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. Appl. Soft Comput. 56: 357-367 (2017) - [j360]Derek A. Smith, Alicia Ibáñez, Francisco Herrera:
The Importance of Context: Assessing the Benefits and Limitations of Participatory Mapping for Empowering Indigenous Communities in the Comarca Ngäbe-Buglé, Panama. Cartogr. Int. J. Geogr. Inf. Geovisualization 52(1): 49-62 (2017) - [j359]Giovanni Acampora, Bruno Siciliano, Hani Hagras, Francisco Herrera:
Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]. IEEE Comput. Intell. Mag. 12(4): 6-8 (2017) - [j358]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis in TripAdvisor. IEEE Intell. Syst. 32(4): 72-77 (2017) - [j357]Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera:
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10(1): 555-568 (2017) - [j356]Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications? Int. J. Comput. Intell. Syst. 10(1): 1211-1225 (2017) - [j355]Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera:
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10(1): 1238-1249 (2017) - [j354]José A. Gámez, Francisco Herrera, José Miguel Puerta:
Guest Editorial: Recent Trends in Intelligent Systems. Int. J. Intell. Syst. 32(2): 107-108 (2017) - [j353]Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos:
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32(2): 134-152 (2017) - [j352]Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. Int. J. Neural Syst. 27(6): 1750028:1-1750028:21 (2017) - [j351]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera:
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239: 39-57 (2017) - [j350]Cong-Cong Li, Yucheng Dong, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching. Inf. Fusion 33: 29-40 (2017) - [j349]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Inf. Fusion 36: 26-51 (2017) - [j348]Xunjie Gou, Huchang Liao, Zeshui Xu, Francisco Herrera:
Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Inf. Fusion 38: 22-34 (2017) - [j347]Yucheng Dong, Zhaogang Ding, Luis Martínez-López, Francisco Herrera:
Managing consensus based on leadership in opinion dynamics. Inf. Sci. 397: 187-205 (2017) - [j346]Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera:
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408: 198-212 (2017) - [j345]Huchang Liao, Lisheng Jiang, Zeshui Xu, Jiuping Xu, Francisco Herrera:
A linear programming method for multiple criteria decision making with probabilistic linguistic information. Inf. Sci. 415: 341-355 (2017) - [j344]Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José Miguel Puerta, José C. Riquelme:
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117: 1-2 (2017) - [j343]Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera:
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117: 3-15 (2017) - [j342]Zhongliang Zhang, Xinggang Luo, Salvador García, Jiafu Tang, Francisco Herrera:
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. Knowl. Based Syst. 125: 53-63 (2017) - [j341]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126: 91-103 (2017) - [j340]Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera:
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Prog. Artif. Intell. 6(4): 347-354 (2017) - [j339]Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera:
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognit. 70: 12-24 (2017) - [j338]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. Remote. Sens. 9(12): 1220 (2017) - [j337]Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9(1): 219 (2017) - [j336]Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera:
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Comput. 21(19): 5573-5583 (2017) - [j335]Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera:
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. IEEE Trans. Evol. Comput. 21(6): 863-877 (2017) - [j334]Jie Lu, Francisco Herrera, Guangquan Zhang:
Guest Editorial Special Section on Fuzzy Systems in Data Science. IEEE Trans. Fuzzy Syst. 25(6): 1373-1375 (2017) - [j333]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera:
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2727-2739 (2017) - [c195]Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera:
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? CEC 2017: 805-812 - [c194]Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera:
A first attempt on global evolutionary undersampling for imbalanced big data. CEC 2017: 2054-2061 - [c193]Francisco Herrera:
Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges. CLOSER 2017: 7 - [c192]Alberto Fernández, Eva Almansa, Francisco Herrera:
Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems. FUZZ-IEEE 2017: 1-6 - [c191]Cong-Cong Li, Rosa M. Rodríguez, Francisco Herrera, Luis Martínez, Yucheng Dong:
A consistency-driven approach to set personalized numerical scales for hesitant fuzzy linguistic preference relations. FUZZ-IEEE 2017: 1-5 - [c190]Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero:
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE 2017: 1-6 - [c189]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
A decision making model to evaluate the reputation in social networks using HFLTS. FUZZ-IEEE 2017: 1-6 - [c188]Ronaldo C. Prati, Francisco Charte, Francisco Herrera:
A first approach towards a fuzzy decision tree for multilabel classification. FUZZ-IEEE 2017: 1-6 - [c187]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Neutrality in the sentiment analysis problem based on fuzzy majority. FUZZ-IEEE 2017: 1-6 - [c186]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? HAIS 2017: 15-25 - [c185]Miguel Ángel Rodríguez, Alberto Fernández, Antonio Peregrín, Francisco Herrera:
A Review of Distributed Data Models for Learning. HAIS 2017: 88-97 - [c184]Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera:
A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost. HAIS 2017: 268-280 - [c183]Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera:
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. HAIS 2017: 281-292 - [c182]Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego:
MapReduce distributed highly random fuzzy forest for noisy big data. ICNC-FSKD 2017: 560-567 - [i8]Andrés Herrera-Poyatos, Francisco Herrera:
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification. CoRR abs/1702.03594 (2017) - [i7]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic Handgun Detection Alarm in Videos Using Deep Learning. CoRR abs/1702.05147 (2017) - [i6]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR abs/1703.07270 (2017) - [i5]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. CoRR abs/1704.01770 (2017) - [i4]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery. CoRR abs/1706.00917 (2017) - 2016
- [b5]Francisco Herrera, Francisco Charte, Antonio J. Rivera, María José del Jesus:
Multilabel Classification - Problem Analysis, Metrics and Techniques. Springer 2016, ISBN 978-3-319-41110-1, pp. 1-194 - [b4]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [j332]Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. Appl. Soft Comput. 38: 10-22 (2016) - [j331]Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera:
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38: 714-726 (2016) - [j330]Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera:
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48: 134-139 (2016) - [j329]Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera:
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). Int. J. Approx. Reason. 73: 108-122 (2016) - [j328]Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A View on Fuzzy Systems for Big Data: Progress and Opportunities. Int. J. Comput. Intell. Syst. 9(sup1): 69-80 (2016) - [j327]José A. Sáez, Julián Luengo, Francisco Herrera:
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure. Neurocomputing 176: 26-35 (2016) - [j326]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Inf. Fusion 27: 19-32 (2016) - [j325]Rosa M. Rodríguez, Benjamín R. C. Bedregal, Humberto Bustince, Yucheng Dong, Bahram Farhadinia, Cengiz Kahraman, Luis Martínez-López, Vicenç Torra, Y. J. Xu, Zeshui Xu, Francisco Herrera:
A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Inf. Fusion 29: 89-97 (2016) - [j324]Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez:
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32: 40-51 (2016) - [j323]Yejun Xu, Francisco Herrera, Huimin Wang:
A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations. Inf. Sci. 328: 189-205 (2016) - [j322]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Inf. Sci. 329: 144-163 (2016) - [j321]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Inf. Sci. 354: 178-196 (2016) - [j320]Diana Martín, Jesús Alcalá-Fdez, Alejandro Rosete, Francisco Herrera:
NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules. Inf. Sci. 355-356: 208-228 (2016) - [j319]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information. Inf. Sci. 367-368: 259-278 (2016) - [j318]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Region-based memetic algorithm with archive for multimodal optimisation. Inf. Sci. 367-368: 719-746 (2016) - [j317]Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. 373: 165-182 (2016) - [j316]Salvador García, Julián Luengo, Francisco Herrera:
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl. Based Syst. 98: 1-29 (2016) - [j315]Yejun Xu, Lei Chen, Rosa M. Rodríguez, Francisco Herrera, Huimin Wang:
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making. Knowl. Based Syst. 99: 71-78 (2016) - [j314]Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera:
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowl. Based Syst. 106: 251-263 (2016) - [j313]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. 53: 36-45 (2016) - [j312]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46(3): 595-608 (2016) - [j311]Humberto Bustince, Edurne Barrenechea, Miguel Pagola, Javier Fernández, Zeshui Xu, Benjamín R. C. Bedregal, Javier Montero, Hani Hagras, Francisco Herrera, Bernard De Baets:
A Historical Account of Types of Fuzzy Sets and Their Relationships. IEEE Trans. Fuzzy Syst. 24(1): 179-194 (2016) - [j310]Jerry M. Mendel, Hani Hagras, Humberto Bustince, Francisco Herrera:
Comments on "Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship". IEEE Trans. Fuzzy Syst. 24(1): 249-250 (2016) - [j309]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. 24(6): 1395-1409 (2016) - [j308]Zheng Yan, Jun Liu, Robert H. Deng, Francisco Herrera:
Editorial: Trust Management for Multimedia Big Data. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 57:1-57:2 (2016) - [j307]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6(1): 5-21 (2016) - [c181]Alberto Fernández, Francisco Herrera:
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion 2016: 169-200 - [c180]Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera:
Evolutionary undersampling for extremely imbalanced big data classification under apache spark. CEC 2016: 640-647 - [c179]Sancho Salcedo-Sanz, Carlos Camacho-Gómez, Daniel Molina, Francisco Herrera:
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization. CEC 2016: 3574-3581 - [c178]Miguel León Ortiz, Yigen Zenlander, Ning Xiong, Francisco Herrera:
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution. ETFA 2016: 1-7 - [c177]Cong-Cong Li, Yucheng Dong, Francisco Herrera, Luis Martínez:
An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations. FUZZ-IEEE 2016: 864-871 - [c176]Pedro Villar, Rosana Montes, Ana Maria Sánchez, Francisco Herrera:
Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification. FUZZ-IEEE 2016: 946-952 - [c175]Alberto Fernández, Sara del Río, Francisco Herrera:
A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification. FUZZ-IEEE 2016: 1437-1444 - [c174]Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
R Ultimate Multilabel Dataset Repository. HAIS 2016: 487-499 - [c173]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS 2016: 500-511 - [c172]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned AdaBoost. HAIS 2016: 512-523 - [c171]Pablo Morales-Alvarez, Julián Luengo, Francisco Herrera:
A First Study on the Use of Boosting for Class Noise Reparation. HAIS 2016: 549-559 - [c170]Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. iThings/GreenCom/CPSCom/SmartData 2016: 859-864 - [p10]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera, Vicenç Torra:
A Review of Hesitant Fuzzy Sets: Quantitative and Qualitative Extensions. Fuzzy Logic in Its 50th Year 2016: 109-128 - [i3]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR abs/1610.04154 (2016) - 2015
- [b3]Luis Martínez-López, Rosa M. Rodríguez, Francisco Herrera:
The 2-tuple Linguistic Model - Computing with Words in Decision Making. Springer 2015, ISBN 978-3-319-24712-0, pp. 1-168 - [b2]Salvador García, Julián Luengo, Francisco Herrera:
Data Preprocessing in Data Mining. Intelligent Systems Reference Library 72, Springer 2015, ISBN 978-3-319-10246-7, pp. 1-313 - [j306]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Appl. Soft Comput. 35: 949-957 (2015) - [j305]Salma Elhag, Alberto Fernández, Abdullah Bawakid, Saleh Alshomrani, Francisco Herrera:
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems. Expert Syst. Appl. 42(1): 193-202 (2015) - [j304]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst. 258: 5-38 (2015) - [j303]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. Int. J. Comput. Intell. Syst. 8(3): 422-437 (2015) - [j302]Ning Xiong, Daniel Molina, Miguel León Ortiz, Francisco Herrera:
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends. Int. J. Comput. Intell. Syst. 8(4): 606-636 (2015) - [j301]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150: 331-345 (2015) - [j300]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163: 3-16 (2015) - [j299]José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera:
SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Inf. Sci. 291: 184-203 (2015) - [j298]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Inf. Sci. 292: 27-38 (2015) - [j297]Yucheng Dong, Xia Chen, Francisco Herrera:
Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making. Inf. Sci. 297: 95-117 (2015) - [j296]Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera:
Fast fingerprint identification using GPUs. Inf. Sci. 301: 195-214 (2015) - [j295]Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera:
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315: 67-87 (2015) - [j294]Julián Luengo, Francisco Herrera:
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowl. Inf. Syst. 42(1): 147-180 (2015) - [j293]Isaac Triguero, Salvador García, Francisco Herrera:
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowl. Inf. Syst. 42(2): 245-284 (2015) - [j292]Saleh Alshomrani, Abdullah Bawakid, Seong-O Shim, Alberto Fernández, Francisco Herrera:
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets. Knowl. Based Syst. 73: 1-17 (2015) - [j291]Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera:
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowl. Based Syst. 80: 109-121 (2015) - [j290]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81: 76-97 (2015) - [j289]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81: 98-116 (2015) - [j288]Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87: 69-79 (2015) - [j287]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl. Based Syst. 89: 385-397 (2015) - [j286]Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowl. Based Syst. 90: 153-164 (2015) - [j285]Sergio González, Francisco Herrera, Salvador García:
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. New Gener. Comput. 33(4): 367-388 (2015) - [j284]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera:
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems. Pattern Recognit. 48(1): 28-42 (2015) - [j283]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognit. 48(12): 3969-3982 (2015) - [j282]Isaac Triguero, Salvador García, Francisco Herrera:
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Trans. Cybern. 45(4): 622-634 (2015) - [j281]José Antonio Sanz, Dario Bernardo, Francisco Herrera, Humberto Bustince, Hani Hagras:
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data. IEEE Trans. Fuzzy Syst. 23(4): 973-990 (2015) - [j280]Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince:
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies. IEEE Trans. Fuzzy Syst. 23(5): 1562-1580 (2015) - [j279]Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera:
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23(5): 1622-1637 (2015) - [j278]Humberto Bustince Sola, Javier Fernández, Hani Hagras, Francisco Herrera, Miguel Pagola, Edurne Barrenechea:
Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship. IEEE Trans. Fuzzy Syst. 23(5): 1876-1882 (2015) - [c169]Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez:
Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios. A Passion for Fuzzy Sets 2015: 245-260 - [c168]Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys:
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722 - [c167]Daniel Molina, Francisco Herrera:
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization. CEC 2015: 1974-1978 - [c166]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets. CORES 2015: 3-15 - [c165]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES 2015: 47-58 - [c164]Pedro Villar, Alberto Fernández, Francisco Herrera:
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO. CORES 2015: 135-146 - [c163]Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal:
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. EANN 2015: 304-314 - [c162]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015: 1-6 - [c161]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
An Interval Valued K-Nearest Neighbors Classifier. IFSA-EUSFLAT 2015 - [c160]Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera:
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. IFSA-EUSFLAT 2015 - [c159]Francisco Herrera:
A tour on big data classification: Selected Computational Intelligence approaches. IFSA-EUSFLAT 2015 - [c158]Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera:
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. FUZZ-IEEE 2015: 1-7 - [c157]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information. FUZZ-IEEE 2015: 1-7 - [c156]Pedro Villar, Alberto Fernández, Rosana Montes, Ana Maria Sánchez, Francisco Herrera:
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level. FUZZ-IEEE 2015: 1-7 - [c155]Francisco Charte, Antonio Jesús Rivera, María José del Jesus, Francisco Herrera:
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS 2015: 489-501 - [c154]Alberto Fernández, María José del Jesus, Francisco Herrera:
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. IDEAL 2015: 36-44 - [c153]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned Random Forest. IDEAL 2015: 53-60 - [c152]Jesús Maillo, Isaac Triguero, Francisco Herrera:
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 167-172 - [c151]Sara del Río, José Manuel Benítez, Francisco Herrera:
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 180-185 - 2014
- [j277]Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera:
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Appl. Soft Comput. 22: 511-517 (2014) - [j276]Michela Fazzolari, Rafael Alcalá, Francisco Herrera:
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. Appl. Soft Comput. 24: 470-481 (2014) - [j275]Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera:
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32: 37-53 (2014) - [j274]Francisco Herrera, Luis Martínez-López, Vicenç Torra, Zeshui Xu:
Hesitant Fuzzy Sets: An Emerging Tool in Decision Making. Int. J. Intell. Syst. 29(6): 493-494 (2014) - [j273]Rosa M. Rodríguez, Luis Martínez-López, Vicenç Torra, Zeshui Xu, Francisco Herrera:
Hesitant Fuzzy Sets: State of the Art and Future Directions. Int. J. Intell. Syst. 29(6): 495-524 (2014) - [j272]Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera:
E-learning and educational data mining in cloud computing: an overview. Int. J. Learn. Technol. 9(1): 25-52 (2014) - [j271]Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera:
Addressing imbalanced classification with instance generation techniques: IPADE-ID. Neurocomputing 126: 15-28 (2014) - [j270]Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera:
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. Neurocomputing 132: 30-41 (2014) - [j269]Francisco Herrera:
Information Fusion: Greetings from the new Editor-in-Chief. Inf. Fusion 20: 1 (2014) - [j268]Ivan Palomares, Francisco Javier Estrella, Luis Martínez-López, Francisco Herrera:
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Inf. Fusion 20: 252-271 (2014) - [j267]Victoria López, Alberto Fernández, Francisco Herrera:
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed. Inf. Sci. 257: 1-13 (2014) - [j266]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules. Inf. Sci. 258: 1-28 (2014) - [j265]Luis Martínez-López, Francisco Herrera:
Challenges of computing with words in decision making. Inf. Sci. 258: 218-219 (2014) - [j264]Joaquín Derrac, Salvador García, Francisco Herrera:
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. Inf. Sci. 260: 98-119 (2014) - [j263]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Region based memetic algorithm for real-parameter optimisation. Inf. Sci. 262: 15-31 (2014) - [j262]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera:
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems. Inf. Sci. 264: 135-157 (2014) - [j261]María José Gacto, Marta Galende, Rafael Alcalá, Francisco Herrera:
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems. Inf. Sci. 276: 63-79 (2014) - [j260]Francisco Javier Estrella, Macarena Espinilla, Francisco Herrera, Luis Martínez-López:
FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Inf. Sci. 280: 152-170 (2014) - [j259]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
A review of microarray datasets and applied feature selection methods. Inf. Sci. 282: 111-135 (2014) - [j258]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce for imbalanced big data using Random Forest. Inf. Sci. 285: 112-137 (2014) - [j257]Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez:
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287: 68-89 (2014) - [j256]Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera:
Analyzing convergence performance of evolutionary algorithms: A statistical approach. Inf. Sci. 289: 41-58 (2014) - [j255]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition. Knowl. Inf. Syst. 38(1): 179-206 (2014) - [j254]Ivan Palomares, Luis Martínez-López, Francisco Herrera:
MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making. Knowl. Based Syst. 58: 66-74 (2014) - [j253]Dánel Sánchez Tarragó, Chris Cornelis, Rafael Bello, Francisco Herrera:
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl. Based Syst. 59: 173-181 (2014) - [j252]Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera:
On the statistical analysis of the parameters' trend in a machine learning algorithm. Prog. Artif. Intell. 3(1): 51-53 (2014) - [j251]Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez:
Fast fingerprint identification for large databases. Pattern Recognit. 47(2): 588-602 (2014) - [j250]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognit. 47(12): 3941-3948 (2014) - [j249]Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, Francisco Herrera:
An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities. Scientometrics 101(2): 1309-1324 (2014) - [j248]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Trans. Evol. Comput. 18(1): 54-69 (2014) - [j247]Ivan Palomares, Luis Martínez-López, Francisco Herrera:
A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 22(3): 516-530 (2014) - [j246]Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez:
A High Performance Fingerprint Matching System for Large Databases Based on GPU. IEEE Trans. Inf. Forensics Secur. 9(1): 62-71 (2014) - [j245]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1842-1854 (2014) - [j244]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowl. Discov. 4(2): 87-103 (2014) - [j243]Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera:
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining Knowl. Discov. 4(5): 380-409 (2014) - [c150]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation 2014: 747-753 - [c149]Daniel Molina, Benjamin Lacroix, Francisco Herrera:
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation. IEEE Congress on Evolutionary Computation 2014: 1633-1640 - [c148]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation 2014: 3036-3043 - [c147]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
Weighted one-class classification for different types of minority class examples in imbalanced data. CIDM 2014: 337-344 - [c146]Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernández, Francisco Herrera:
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions. FUSION 2014: 1-8 - [c145]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
Connecting the numerical scale model to the unbalanced linguistic term sets. FUZZ-IEEE 2014: 455-462 - [c144]Mikel Galar, José Antonio Sanz, Miguel Pagola, Humberto Bustince Sola, Francisco Herrera:
A preliminary study on fingerprint classification using fuzzy rule-based classification systems. FUZZ-IEEE 2014: 554-560 - [c143]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. FUZZ-IEEE 2014: 1905-1912 - [c142]Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
Learning from data using the R package "FRBS". FUZZ-IEEE 2014: 2149-2155 - [c141]Pedro Villar, Bartosz Krawczyk, Ana M. Sánchez, Rosana Montes, Francisco Herrera:
Designing a compact Genetic fuzzy rule-based system for one-class classification. FUZZ-IEEE 2014: 2163-2170 - [c140]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera:
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS 2014: 110-121 - [c139]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes. HAIS 2014: 597-606 - [c138]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL 2014: 1-9 - [c137]José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera:
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. IDEAL 2014: 61-68 - [c136]Mikel Elkano, Mikel Galar, José Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince:
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. IPMU (3) 2014: 296-306 - 2013
- [j242]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Inf. Sci. 241: 28-42 (2013) - [j241]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness. Inf. Sci. 247: 1-20 (2013) - [j240]Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera:
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250: 113-141 (2013) - [j239]Daniel Torres-Salinas, Nicolás Robinson-García, Evaristo Jiménez-Contreras, Francisco Herrera, Emilio Delgado López-Cózar:
On the use of biplot analysis for multivariate bibliometric and scientific indicators. J. Assoc. Inf. Sci. Technol. 64(7): 1468-1479 (2013) - [j238]Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera:
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowl. Based Syst. 38: 85-104 (2013) - [j237]Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera:
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl. Based Syst. 42: 97-110 (2013) - [j236]Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Special Issue on "Evolutionary Fuzzy Systems" EFSs. Knowl. Based Syst. 54: 1-2 (2013) - [j235]Michela Fazzolari, Bruno Giglio, Rafael Alcalá, Francesco Marcelloni, Francisco Herrera:
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowl. Based Syst. 54: 32-41 (2013) - [j234]José A. Sáez, Julián Luengo, Francisco Herrera:
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification. Pattern Recognit. 46(1): 355-364 (2013) - [j233]Nele Verbiest, Chris Cornelis, Francisco Herrera:
FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognit. 46(10): 2770-2782 (2013) - [j232]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers. Pattern Recognit. 46(12): 3412-3424 (2013) - [j231]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera:
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognit. 46(12): 3460-3471 (2013) - [j230]Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera:
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. Soft Comput. 17(2): 223-238 (2013) - [j229]Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Trans. Fuzzy Syst. 21(1): 45-65 (2013) - [j228]José Antonio Sanz, Alberto Fernández, Humberto Bustince, Francisco Herrera:
IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection. IEEE Trans. Fuzzy Syst. 21(3): 399-411 (2013) - [j227]Salvador García, Julián Luengo, José Antonio Sáez, Victoria López, Francisco Herrera:
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Trans. Knowl. Data Eng. 25(4): 734-750 (2013) - [c135]Francisco Herrera, Enrique Herrera-Viedma:
Our Collaboration with Da. A Tribute to Prof. Dr. Da Ruan 2013: 253 - [c134]Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera:
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. IEEE Congress on Evolutionary Computation 2013: 87-94 - [c133]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. IEEE Congress on Evolutionary Computation 2013: 1945-1951 - [c132]María José Gacto, Marta Galende, Rafael Alcalá, Francisco Herrera:
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. FUZZ-IEEE 2013: 1-7 - [c131]Victoria López, Alberto Fernández, Francisco Herrera:
Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets. FUZZ-IEEE 2013: 1-8 - [c130]Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. GEFS 2013: 44-51 - [c129]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera:
A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS 2013: 150-160 - [c128]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. HAIS 2013: 568-577 - [c127]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
Eliciting comparative linguistic expressions in group decision making. IFSA/NAFIPS 2013: 771-776 - [c126]Nele Verbiest, Chris Cornelis, Francisco Herrera:
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. RSFDGrC 2013: 180-190 - [c125]Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera, Ponnuthurai Nagaratnam Suganthan:
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS. SDE 2013: 151-156 - [e7]Lorna Uden, Francisco Herrera, Javier Bajo Pérez, Juan M. Corchado Rodríguez:
7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, KMO 2012, Salamanca, Spain, 11-13 July, 2012. Advances in Intelligent Systems and Computing 172, Springer 2013, ISBN 978-3-642-30866-6 [contents] - [i2]Daniel Torres-Salinas, Nicolás Robinson-García, Evaristo Jiménez-Contreras, Francisco Herrera, Emilio Delgado López-Cózar:
On the use of Biplot analysis for multivariate bibliometric and scientific indicators. CoRR abs/1302.0608 (2013) - [i1]Nicolás Robinson-García, Jose G. Moreno-Torres, Daniel Torres-Salinas, Emilio Delgado López-Cózar, Francisco Herrera:
The role of national university rankings in an international context: the case of the I-UGR Rankings of Spanish universities. CoRR abs/1305.1216 (2013) - 2012
- [j226]María José Gacto, Rafael Alcalá, Francisco Herrera:
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems. Appl. Intell. 36(2): 330-347 (2012) - [j225]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Gustavo Olague, Francisco Herrera:
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appl. Intell. 36(2): 407-423 (2012) - [j224]Victoria López, Alberto Fernández, Jose G. Moreno-Torres, Francisco Herrera:
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Syst. Appl. 39(7): 6585-6608 (2012) - [j223]Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Special Issue on Evolutionary Fuzzy Systems. Int. J. Comput. Intell. Syst. 5(2): 209-211 (2012) - [j222]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera:
Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012) - [j221]Pedro Villar, Alberto Fernández, Ramón Alberto Carrasco, Francisco Herrera:
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(3): 369-397 (2012) - [j220]Julián Luengo, Francisco Herrera:
Shared domains of competence of approximate learning models using measures of separability of classes. Inf. Sci. 185(1): 43-65 (2012) - [j219]Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. Inf. Sci. 186(1): 73-92 (2012) - [j218]Luis Martínez-López, Francisco Herrera:
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges. Inf. Sci. 207: 1-18 (2012) - [j217]Manuel J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
SciMAT: A new science mapping analysis software tool. J. Assoc. Inf. Sci. Technol. 63(8): 1609-1630 (2012) - [j216]Elena Pérez, Marta Posada, Francisco Herrera:
Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling. J. Intell. Manuf. 23(3): 341-356 (2012) - [j215]Julián Luengo, Salvador García, Francisco Herrera:
On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowl. Inf. Syst. 32(1): 77-108 (2012) - [j214]Enislay Ramentol, Yaile Caballero, Rafael Bello, Francisco Herrera:
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowl. Inf. Syst. 33(2): 245-265 (2012) - [j213]José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera:
Special issue on "New Trends in Data Mining" NTDM. Knowl. Based Syst. 25(1): 1-2 (2012) - [j212]Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera:
Evolutionary-based selection of generalized instances for imbalanced classification. Knowl. Based Syst. 25(1): 3-12 (2012) - [j211]Francisco Herrera, Cesar Analide:
Editors' Preface. Prog. Artif. Intell. 1(1): 1 (2012) - [j210]Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera:
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 417-435 (2012) - [j209]Jose G. Moreno-Torres, Troy Raeder, Rocío Alaíz-Rodríguez, Nitesh V. Chawla, Francisco Herrera:
A unifying view on dataset shift in classification. Pattern Recognit. 45(1): 521-530 (2012) - [j208]Jose A. García, Rosa Rodríguez-Sánchez, J. Fdez-Valdivia, Daniel Torres-Salinas, Francisco Herrera:
Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study. Scientometrics 93(3): 1081-1099 (2012) - [j207]Jesús Marín, Daniel Molina, Francisco Herrera:
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions. Soft Comput. 16(2): 331-351 (2012) - [j206]Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera:
Variable mesh optimization for continuous optimization problems. Soft Comput. 16(3): 511-525 (2012) - [j205]Julián Luengo, José A. Sáez, Francisco Herrera:
Missing data imputation for fuzzy rule-based classification systems. Soft Comput. 16(5): 863-881 (2012) - [j204]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE Trans. Fuzzy Syst. 20(1): 109-119 (2012) - [j203]Humberto Bustince Sola, Miguel Pagola, Radko Mesiar, Eyke Hüllermeier, Francisco Herrera:
Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE Trans. Fuzzy Syst. 20(3): 405-415 (2012) - [j202]Manuel J. Cobo, Antonio Gabriel López-Herrera, Francisco Herrera, Enrique Herrera-Viedma:
A Note on the ITS Topic Evolution in the Period 2000-2009 at T-ITS. IEEE Trans. Intell. Transp. Syst. 13(1): 413-420 (2012) - [j201]Jose G. Moreno-Torres, José A. Sáez, Francisco Herrera:
Study on the Impact of Partition-Induced Dataset Shift on k -Fold Cross-Validation. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1304-1312 (2012) - [j200]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera:
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Trans. Syst. Man Cybern. Part C 42(1): 86-100 (2012) - [j199]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. IEEE Trans. Syst. Man Cybern. Part C 42(4): 463-484 (2012) - [j198]Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera:
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1383-1397 (2012) - [c124]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Region based memetic algorithm with LS chaining. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c123]Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera:
Optimising real parameters using the information of a mesh of solutions: VMO algorithm. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c122]Bruno Giglio, Francesco Marcelloni, Michela Fazzolari, Rafael Alcalá, Francisco Herrera:
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. FUZZ-IEEE 2012: 1-8 - [c121]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. HAIS (2) 2012: 25-35 - [c120]Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera:
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. HAIS (2) 2012: 176-187 - [c119]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera:
Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) 2012: 188-199 - [c118]Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera:
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. IBERAMIA 2012: 169-178 - [c117]Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera:
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. ICPRAM (2) 2012: 98-107 - [c116]Salvador García, Victoria López, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera:
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. ICPRAM (1) 2012: 211-216 - [c115]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
Group Decision Making with Comparative Linguistic Terms. IPMU (1) 2012: 181-190 - [c114]Alberto Fernández, Sara del Río, Francisco Herrera, José Manuel Benítez:
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. KMO 2012: 559-570 - [p9]Alberto Fernández, Francisco Herrera:
Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. Combining Experimentation and Theory 2012: 103-122 - 2011
- [j197]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe:
Special issue on the trends in applied intelligence systems. Appl. Intell. 34(3): 329-330 (2011) - [j196]Salvador García, Joaquín Derrac, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera:
Evolutionary selection of hyperrectangles in nested generalized exemplar learning. Appl. Soft Comput. 11(3): 3032-3045 (2011) - [j195]José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera:
A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position. Int. J. Approx. Reason. 52(6): 751-766 (2011) - [j194]María José Gacto, Rafael Alcalá, Francisco Herrera:
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Inf. Sci. 181(20): 4340-4360 (2011) - [j193]Manuel J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
Science mapping software tools: Review, analysis, and cooperative study among tools. J. Assoc. Inf. Sci. Technol. 62(7): 1382-1402 (2011) - [j192]Manuel J. Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J. Informetrics 5(1): 146-166 (2011) - [j191]Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesus:
An overview on subgroup discovery: foundations and applications. Knowl. Inf. Syst. 29(3): 495-525 (2011) - [j190]Jesús Alcalá-Fdez, Francisco Herrera:
Soft Computing Techniques in Data Mining. J. Multiple Valued Log. Soft Comput. 17(2-3): 99-100 (2011) - [j189]Isaac Triguero, Salvador García, Francisco Herrera:
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognit. 44(4): 901-916 (2011) - [j188]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes. Pattern Recognit. 44(8): 1761-1776 (2011) - [j187]Daniel Torres-Salinas, Jose G. Moreno-Torres, Emilio Delgado López-Cózar, Francisco Herrera:
A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ2A index. Scientometrics 88(3): 771-786 (2011) - [j186]Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera:
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling. Soft Comput. 15(10): 1909-1936 (2011) - [j185]Manuel Lozano, Daniel Molina, Francisco Herrera:
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Comput. 15(11): 2085-2087 (2011) - [j184]Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera:
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains. Soft Comput. 15(11): 2201-2220 (2011) - [j183]Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera:
Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011) - [j182]Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi:
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. 15(12): 2303-2318 (2011) - [j181]Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera:
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1(1): 3-18 (2011) - [j180]Rafael Alcalá, María José Gacto, Francisco Herrera:
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Trans. Fuzzy Syst. 19(4): 666-681 (2011) - [j179]Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera:
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning. IEEE Trans. Fuzzy Syst. 19(5): 857-872 (2011) - [c113]Francisco Fernández, Francisco Chávez de la O, Rafael Alcalá, Francisco Herrera:
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation 2011: 2571-2577 - [c112]Francisco Herrera:
On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems. Eurofuse 2011: 3-4 - [c111]Rosa M. Rodríguez, Luis Martínez, Francisco Herrera:
A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms. Eurofuse 2011: 229-241 - [c110]Edurne Barrenechea, Alberto Fernández, Francisco Herrera, Humberto Bustince:
Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion. Eurofuse 2011: 243-255 - [c109]Francisco Chávez de la O, Francisco Fernández, Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera:
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. FUZZ-IEEE 2011: 256-263 - [c108]Pedro Villar, Alberto Fernández, Francisco Herrera:
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets. FUZZ-IEEE 2011: 1239-1246 - [c107]José Antonio Sanz, Humberto Bustince Sola, Alberto Fernández, Francisco Herrera:
On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees. FUZZ-IEEE 2011: 1247-1254 - [c106]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD. GEFS 2011: 17-23 - [c105]María José Gacto, Rafael Alcalá, Francisco Herrera:
Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system. GEFS 2011: 73-80 - [c104]Alberto Fernández, Salvador García, Francisco Herrera:
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. HAIS (1) 2011: 1-10 - [c103]Isaac Triguero, Salvador García, Francisco Herrera:
Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) 2011: 262-270 - [c102]José A. Sáez, Julián Luengo, Francisco Herrera:
Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study. ISDA 2011: 1229-1234 - [c101]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
A multi-objective evolutionary algorithm for mining quantitative association rules. ISDA 2011: 1397-1402 - [c100]Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. IWANN (1) 2011: 174-182 - [c99]Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García:
A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302 - [c98]José Antonio Sanz, Miguel Pagola, Humberto Bustince, Antonio Brugos, Alberto Fernández, Francisco Herrera:
A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. T2FUZZ 2011: 9-15 - [c97]María José Gacto, Rafael Alcalá, Francisco Herrera:
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. WILF 2011: 99-106 - [p8]Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Ignacio J. Pérez, Manuel J. Cobo, Sergio Alonso, Francisco Herrera:
Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. Recent Developments in the Ordered Weighted Averaging Operators 2011: 167-186 - 2010
- [j178]Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera:
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. Evol. Comput. 18(1): 27-63 (2010) - [j177]Amilkar Puris, Rafael Bello, Francisco Herrera:
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP. Expert Syst. Appl. 37(7): 5443-5453 (2010) - [j176]Julián Luengo, Francisco Herrera:
Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method. Fuzzy Sets Syst. 161(1): 3-19 (2010) - [j175]Alberto Fernández, María Calderón, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets Syst. 161(23): 3064-3080 (2010) - [j174]Jesús Alcalá-Fdez, Nicolò Flugy Papè, Andrea Bonarini, Francisco Herrera:
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundam. Informaticae 98(1): 1-14 (2010) - [j173]Joaquín Derrac, Salvador García, Francisco Herrera:
A Survey on Evolutionary Instance Selection and Generation. Int. J. Appl. Metaheuristic Comput. 1(1): 60-92 (2010) - [j172]Francisco Herrera, Luis Martínez-López:
Special Issue on Decision Support Systems based on Computing with Words: Applications. Int. J. Comput. Intell. Syst. 3(4): 381 (2010) - [j171]Luis Martínez-López, Da Ruan, Francisco Herrera:
Computing with Words in Decision support Systems: An overview on Models and Applications. Int. J. Comput. Intell. Syst. 3(4): 382-395 (2010) - [j170]Antonio Gabriel López-Herrera, Manuel J. Cobo, Enrique Herrera-Viedma, Francisco Herrera:
A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach. Int. J. Hybrid Intell. Syst. 7(1): 17-32 (2010) - [j169]Francisco Herrera, Francesco Marcelloni, Vincenzo Loia:
Guest Editors' Introduction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(4) (2010) - [j168]Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera:
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180(8): 1183-1200 (2010) - [j167]Alberto Fernández, María José del Jesus, Francisco Herrera:
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets. Inf. Sci. 180(8): 1268-1291 (2010) - [j166]Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera:
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power. Inf. Sci. 180(10): 2044-2064 (2010) - [j165]José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera:
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Inf. Sci. 180(19): 3674-3685 (2010) - [j164]Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera:
A web based consensus support system for group decision making problems and incomplete preferences. Inf. Sci. 180(23): 4477-4495 (2010) - [j163]Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera:
WoS query partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source-based partitioning approaches. J. Assoc. Inf. Sci. Technol. 61(8): 1582-1597 (2010) - [j162]Francisco Javier Cabrerizo, Sergio Alonso, Enrique Herrera-Viedma, Francisco Herrera:
q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core. J. Informetrics 4(1): 23-28 (2010) - [j161]Joaquín Derrac, Salvador García, Francisco Herrera:
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability. Memetic Comput. 2(3): 183-199 (2010) - [j160]Julián Luengo, Salvador García, Francisco Herrera:
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method. Neural Networks 23(3): 406-418 (2010) - [j159]Joaquín Derrac, Salvador García, Francisco Herrera:
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule. Pattern Recognit. 43(6): 2082-2105 (2010) - [j158]Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera:
hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics 82(2): 391-400 (2010) - [j157]Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera:
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evol. Comput. 14(6): 913-941 (2010) - [j156]María José Gacto, Rafael Alcalá, Francisco Herrera:
Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Trans. Fuzzy Syst. 18(3): 515-531 (2010) - [j155]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery. IEEE Trans. Fuzzy Syst. 18(5): 958-970 (2010) - [j154]Isaac Triguero, Salvador García, Francisco Herrera:
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Trans. Neural Networks 21(12): 1984-1990 (2010) - [j153]Pedro G. Espejo, Sebastián Ventura, Francisco Herrera:
A Survey on the Application of Genetic Programming to Classification. IEEE Trans. Syst. Man Cybern. Part C 40(2): 121-144 (2010) - [c96]Daniel Molina, Manuel Lozano, Francisco Herrera:
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c95]Isaac Triguero, Salvador García, Francisco Herrera:
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c94]Francisco Chávez de la O, Francisco Fernández, Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera, Gustavo Olague:
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c93]Julián Luengo, Francisco Herrera:
An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML. FUZZ-IEEE 2010: 1-8 - [c92]José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera:
A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets. FUZZ-IEEE 2010: 1-3 - [c91]Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera:
A fuzzy associative classification system with genetic rule selection for high-dimensional problems. GEFS 2010: 33-38 - [c90]Alberto Fernández, María José del Jesus, Francisco Herrera:
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection. GEFS 2010: 69-74 - [c89]Joaquín Derrac, Salvador García, Francisco Herrera:
IFS-CoCo in the Landscape Contest: Description and Results. ICPR Contests 2010: 56-65 - [c88]María José Gacto, Rafael Alcalá, Francisco Herrera:
Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. IEA/AIE (2) 2010: 228-238 - [c87]Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera:
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. IEA/AIE (1) 2010: 601-610 - [c86]Alberto Fernández, María José del Jesus, Francisco Herrera:
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. IPMU 2010: 89-98 - [c85]Pedro Villar, Alberto Fernández, Francisco Herrera:
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. IPMU (1) 2010: 741-750 - [c84]Jose G. Moreno-Torres, Francisco Herrera:
A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. ISDA 2010: 501-506 - [c83]Victoria López, Alberto Fernández, Francisco Herrera:
A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets. ISDA 2010: 676-681 - [c82]José A. Sáez, Julián Luengo, Francisco Herrera:
A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems. ISKE 2010: 153-158 - [p7]Salvador García, José Ramón Cano, Francisco Herrera:
A Review on Evolutionary Prototype Selection. Intelligent Systems for Automated Learning and Adaptation 2010: 92-113 - [p6]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. Parallel and Distributed Computational Intelligence 2010: 235-261 - [e6]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6096, Springer 2010, ISBN 978-3-642-13021-2 [contents] - [e5]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6097, Springer 2010, ISBN 978-3-642-13024-3 [contents] - [e4]Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali:
Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6098, Springer 2010, ISBN 978-3-642-13032-8 [contents]
2000 – 2009
- 2009
- [j152]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1): 15-30 (2009) - [j151]Salvador García, Alberto Fernández, Francisco Herrera:
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. Appl. Soft Comput. 9(4): 1304-1314 (2009) - [j150]Salvador García, Francisco Herrera:
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. Evol. Comput. 17(3): 275-306 (2009) - [j149]Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera:
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36(2): 1632-1644 (2009) - [j148]Julián Luengo, Salvador García, Francisco Herrera:
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests. Expert Syst. Appl. 36(4): 7798-7808 (2009) - [j147]Alberto Fernández, María José del Jesus, Francisco Herrera:
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets. Expert Syst. Appl. 36(6): 9805-9812 (2009) - [j146]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evol. Intell. 2(1-2): 5-19 (2009) - [j145]Francisco Herrera, Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana:
Computing with words and decision making. Fuzzy Optim. Decis. Mak. 8(4): 323-324 (2009) - [j144]Francisco Herrera, Sergio Alonso, Francisco Chiclana, Enrique Herrera-Viedma:
Computing with words in decision making: foundations, trends and prospects. Fuzzy Optim. Decis. Mak. 8(4): 337-364 (2009) - [j143]Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto, Francisco Herrera:
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst. 160(7): 905-921 (2009) - [j142]Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems. Fuzzy Sets Syst. 160(15): 2192-2205 (2009) - [j141]Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera:
A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization. J. Heuristics 15(6): 617-644 (2009) - [j140]Alberto Fernández, María José del Jesus, Francisco Herrera:
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets. Int. J. Approx. Reason. 50(3): 561-577 (2009) - [j139]Fatos Xhafa, Francisco Herrera, Mario Köppen:
Special issue: Data mining and hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 6(2): 67 (2009) - [j138]Sergio Alonso, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
Group decision making with incomplete fuzzy linguistic preference relations. Int. J. Intell. Syst. 24(2): 201-222 (2009) - [j137]Ana M. Sánchez, Manuel Lozano, Pedro Villar, Francisco Herrera:
Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators. Int. J. Intell. Syst. 24(5): 540-567 (2009) - [j136]Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera:
Individual and Social Strategies to Deal with Ignorance Situations in Multi-Person Decision Making. Int. J. Inf. Technol. Decis. Mak. 8(2): 313-333 (2009) - [j135]Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera:
Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. Int. J. Pattern Recognit. Artif. Intell. 23(8): 1527-1548 (2009) - [j134]Antonio Gabriel López-Herrera, Manuel J. Cobo, Enrique Herrera-Viedma, Francisco Herrera, Rafael Bailón-Moreno, Evaristo Jiménez-Contreras:
Visualization and evolution of the scientific structure of fuzzy sets research in Spain. Inf. Res. 14(4) (2009) - [j133]Luis Martínez-López, Da Ruan, Francisco Herrera, Enrique Herrera-Viedma, Paul P. Wang:
Linguistic decision making: Tools and applications. Inf. Sci. 179(14): 2297-2298 (2009) - [j132]Pedro J. Sánchez, Luis Martínez-López, Carlos García-Martínez, Francisco Herrera, Enrique Herrera-Viedma:
A fuzzy model to evaluate the suitability of installing an enterprise resource planning system. Inf. Sci. 179(14): 2333-2341 (2009) - [j131]Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
A study of the use of multi-objective evolutionary algorithms to learn Boolean queries: A comparative study. J. Assoc. Inf. Sci. Technol. 60(6): 1192-1207 (2009) - [j130]Sergio Alonso, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Francisco Herrera:
h-Index: A review focused in its variants, computation and standardization for different scientific fields. J. Informetrics 3(4): 273-289 (2009) - [j129]Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009) - [j128]María José Gacto, Rafael Alcalá, Francisco Herrera:
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput. 13(5): 419-436 (2009) - [j127]Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera:
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput. 13(10): 959-977 (2009) - [j126]Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera:
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity. IEEE Trans. Fuzzy Syst. 17(1): 14-23 (2009) - [j125]Rafael Alcalá, Pietro Ducange, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni:
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. IEEE Trans. Fuzzy Syst. 17(5): 1106-1122 (2009) - [c81]Daniel Molina, Manuel Lozano, Francisco Herrera:
Memetic algorithm with Local search chaining for large scale continuous optimization problems. IEEE Congress on Evolutionary Computation 2009: 830-837 - [c80]Alberto Fernández, Francisco José Berlanga, María José del Jesus, Francisco Herrera:
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. IFSA/EUSFLAT Conf. 2009: 42-47 - [c79]Julián Luengo, Francisco Herrera:
On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. IFSA/EUSFLAT Conf. 2009: 1027-1032 - [c78]María José Gacto, Rafael Alcalá, Francisco Herrera:
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. IFSA/EUSFLAT Conf. 2009: 1146-1151 - [c77]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744 - [c76]Pedro Villar, Alberto Fernández, Francisco Herrera:
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets. FUZZ-IEEE 2009: 1689-1694 - [c75]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. FUZZ-IEEE 2009: 1706-1711 - [c74]Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi:
Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. FUZZ-IEEE 2009: 1718-1723 - [c73]Daniel Molina, Manuel Lozano, Francisco Herrera:
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. GECCO (Companion) 2009: 2255-2262 - [c72]Daniel Molina, Manuel Lozano, Francisco Herrera:
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. GECCO (Companion) 2009: 2359-2366 - [c71]Joaquín Derrac, Salvador García, Francisco Herrera:
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. HAIS 2009: 557-564 - [c70]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. HAIS 2009: 573-580 - [c69]José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera:
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets. HAIS 2009: 581-588 - [c68]Nicolò Flugy Papè, Jesús Alcalá-Fdez, Andrea Bonarini, Francisco Herrera:
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. HAIS 2009: 646-653 - [c67]Alberto Fernández, Julián Luengo, Joaquín Derrac, Jesús Alcalá-Fdez, Francisco Herrera:
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. IDEAL 2009: 562-569 - [c66]María José Gacto, Rafael Alcalá, Francisco Herrera:
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. ISDA 2009: 109-114 - [c65]Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera:
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. ISDA 2009: 517-522 - [c64]Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera:
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. ISDA 2009: 523-528 - [c63]Daniel Molina, Manuel Lozano, Francisco Herrera:
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA 2009: 1068-1073 - [c62]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesus, Francisco Herrera:
A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) 2009: 57-64 - [c61]Julián Luengo, Francisco Herrera:
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. IWANN (1) 2009: 81-88 - [c60]Alberto Fernández, María José del Jesus, Francisco Herrera:
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. IWANN (1) 2009: 294-301 - [c59]Daniel Molina, Manuel Lozano, Francisco Herrera:
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. LION 2009: 221-234 - [e3]Aboul Ella Hassanien, Ajith Abraham, Francisco Herrera:
Foundations of Computational Intelligence - Volume 2: Approximate Reasoning. Studies in Computational Intelligence 202, Springer 2009, ISBN 978-3-642-01532-8 [contents] - 2008
- [j124]Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez:
Global and local real-coded genetic algorithms based on parent-centric crossover operators. Eur. J. Oper. Res. 185(3): 1088-1113 (2008) - [j123]José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García:
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. Expert Syst. Appl. 35(4): 1949-1965 (2008) - [j122]Francisco Herrera:
Genetic fuzzy systems: taxonomy, current research trends and prospects. Evol. Intell. 1(1): 27-46 (2008) - [j121]Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera:
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets Syst. 159(18): 2378-2398 (2008) - [j120]Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Jesús Alcalá-Fdez, Carlos Porcel:
A consistency-based procedure to estimate missing pairwise preference values. Int. J. Intell. Syst. 23(2): 155-175 (2008) - [j119]Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera:
Real-parameter crossover operators with multiple descendents: An experimental study. Int. J. Intell. Syst. 23(2): 246-268 (2008) - [j118]Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera:
Guest Editors' Introduction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-2) (2008) - [j117]Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera:
A Note on the Estimation of Missing Pairwise Preference Values: a Uninorm Consistency Based Method. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-2): 19-32 (2008) - [j116]Manuel Lozano, Francisco Herrera, José Ramón Cano:
Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178(23): 4421-4433 (2008) - [j115]Sergio Alonso, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
An Interactive Decision Support System Based on Consistency Criteria. J. Multiple Valued Log. Soft Comput. 14(3-5): 371-386 (2008) - [j114]Salvador García, José Ramón Cano, Francisco Herrera:
A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognit. 41(8): 2693-2709 (2008) - [j113]José Ramón Cano, Salvador García, Francisco Herrera:
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes. Pattern Recognit. Lett. 29(16): 2156-2164 (2008) - [j112]Rocío Romero-Záliz, Cristina Rubio-Escudero, J. P. Cobb, Francisco Herrera, Oscar Cordón, Igor Zwir:
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database. IEEE Trans. Evol. Comput. 12(6): 679-701 (2008) - [j111]Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets. IEEE Trans. Fuzzy Syst. 16(2): 354-370 (2008) - [c58]Francisco Chiclana, Sergio Alonso, Enrique Herrera-Viedma, Francisco Herrera:
Construction of consistent fuzzy preference relations using uninorms. FUZZ-IEEE 2008: 1269-1273 - [c57]Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera:
KEEL: A data mining software tool integrating genetic fuzzy systems. GEFS 2008: 83-88 - [c56]Francisco José Berlanga, María José del Jesus, Francisco Herrera:
A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems. GEFS 2008: 101-106 - [c55]Salvador García, Francisco Herrera:
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. HAIS 2008: 4-14 - [c54]Pietro Ducange, Rafael Alcalá, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni:
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. HAIS 2008: 747-754 - [c53]Antonio Gabriel López-Herrera, Manuel J. Cobo, Enrique Herrera-Viedma, Francisco Herrera:
Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques. HIS 2008: 252-257 - [c52]Alberto Fernández, María José del Jesus, Francisco Herrera:
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. HIS 2008: 483-488 - [c51]Salvador García, Francisco Herrera:
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. HIS 2008: 567-572 - [c50]Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera:
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. Hybrid Metaheuristics 2008: 58-71 - [c49]Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera:
A Multiobjective Evolutionary Algorithm for spam e-mail filtering. ISKE 2008: 366-371 - [p5]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 91-107 - [p4]María José del Jesus, Pedro González, Francisco Herrera:
Subgroup Discovery with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 411-430 - [e2]Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, José Manuel Benítez:
8th International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, 2008, Barcelona, Spain. IEEE Computer Society 2008, ISBN 978-0-7695-3326-1 [contents] - [e1]Humberto Bustince Sola, Francisco Herrera, Javier Montero:
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Studies in Fuzziness and Soft Computing 220, Springer 2008, ISBN 978-3-540-73722-3 [contents] - 2007
- [j110]José Ramón Cano, Francisco Herrera, Manuel Lozano:
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability. Data Knowl. Eng. 60(1): 90-108 (2007) - [j109]Carlos García-Martínez, Oscar Cordón, Francisco Herrera:
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP. Eur. J. Oper. Res. 180(1): 116-148 (2007) - [j108]Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera, Sergio Alonso:
Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations. Eur. J. Oper. Res. 182(1): 383-399 (2007) - [j107]Jorge Casillas, Francisco Herrera, Raúl Pérez, María José del Jesus, Pedro Villar:
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reason. 44(1): 1-3 (2007) - [j106]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero:
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. Int. J. Approx. Reason. 44(1): 45-64 (2007) - [j105]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. Int. J. Intell. Syst. 22(9): 909-941 (2007) - [j104]Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. Int. J. Intell. Syst. 22(9): 1035-1064 (2007) - [j103]Rafael Alcalá, María José Gacto, Francisco Herrera, Jesús Alcalá-Fdez:
A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 539-557 (2007) - [j102]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. Soft Comput. 11(5): 401-419 (2007) - [j101]María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero:
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE Trans. Fuzzy Syst. 15(4): 578-592 (2007) - [j100]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera:
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection. IEEE Trans. Fuzzy Syst. 15(4): 616-635 (2007) - [j99]Enrique Herrera-Viedma, Sergio Alonso, Francisco Chiclana, Francisco Herrera:
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations. IEEE Trans. Fuzzy Syst. 15(5): 863-877 (2007) - [j98]Francisco Alfredo Márquez, Antonio Peregrín, Francisco Herrera:
Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems. IEEE Trans. Fuzzy Syst. 15(6): 1162-1178 (2007) - [j97]Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Sergio Alonso:
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Trans. Syst. Man Cybern. Part B 37(1): 176-189 (2007) - [c48]María José del Jesus, Pedro González, Francisco Herrera:
Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. MCDM 2007: 50-57 - [c47]Jose Joaquin Aguilera, Manuel Chica, María José del Jesus, Francisco Herrera:
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems. FUZZ-IEEE 2007: 1-6 - [c46]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. FUZZ-IEEE 2007: 1-6 - [c45]Rafael Alcalá, Jesús Alcalá-Fdez, María José Gacto, Francisco Herrera:
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. FUZZ-IEEE 2007: 1-6 - [c44]Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Francisco Chiclana, Francisco Herrera:
Visualizing Consensus in Group Decision Making Situations. FUZZ-IEEE 2007: 1-6 - [c43]Francisco Chiclana, Enrique Herrera-Viedma, Sergio Alonso, Francisco Herrera:
Consistency of Reciprocal Preference Relations. FUZZ-IEEE 2007: 1-6 - [c42]Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso:
Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. IFSA (2) 2007: 71-80 - [c41]Julián Luengo, Salvador García, Francisco Herrera:
A Study on the Use of Statistical Tests for Experimentation with Neural Networks. IWANN 2007: 72-79 - [c40]Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera:
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets. IWANN 2007: 375-382 - [c39]Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesus:
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. WILF 2007: 170-178 - 2006
- [j96]José Ramón Cano, Francisco Herrera, Manuel Lozano:
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Appl. Soft Comput. 6(3): 323-332 (2006) - [j95]Francisco Herrera, Manuel Lozano, Daniel Molina:
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. Eur. J. Oper. Res. 169(2): 450-476 (2006) - [j94]Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López, Paul P. Wang:
Recent advancements of fuzzy sets: Theory and practice. Inf. Sci. 176(4): 349-351 (2006) - [j93]Adel M. Alimi, Francisco Herrera:
New trends in the fuzzy modeling part I: novel approaches. Soft Comput. 10(9): 715-716 (2006) - [j92]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006) - [j91]Adel M. Alimi, Francisco Herrera:
New trends in fuzzy modeling. part II: applications. Soft Comput. 10(10): 865 (2006) - [c38]Francisco José Berlanga, María José del Jesus, María José Gacto, Francisco Herrera:
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. ICAISC 2006: 182-191 - [c37]Salvador García, José Ramón Cano, Francisco Herrera:
Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL 2006: 1358-1366 - [c36]Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera:
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL 2006: 1415-1423 - [c35]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. IEA/AIE 2006: 452-461 - [c34]Francisco José Berlanga, María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero:
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. ICDM 2006: 337-349 - [c33]Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel:
Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. MDAI 2006: 34-45 - [c32]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. MDAI 2006: 317-328 - 2005
- [j90]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera:
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Eng. Appl. Artif. Intell. 18(3): 279-296 (2005) - [j89]Francisco Herrera, Luis Martínez-López, Pedro J. Sánchez:
Managing non-homogeneous information in group decision making. Eur. J. Oper. Res. 166(1): 115-132 (2005) - [j88]Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera:
Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. Int. J. Intell. Syst. 20(4): 433-452 (2005) - [j87]Luis Martínez-López, Jun Liu, Jian-Bo Yang, Francisco Herrera:
A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis. Int. J. Intell. Syst. 20(12): 1161-1194 (2005) - [j86]José Ramón Cano, Francisco Herrera, Manuel Lozano:
Stratification for scaling up evolutionary prototype selection. Pattern Recognit. Lett. 26(7): 953-963 (2005) - [j85]Francisco Herrera, Manuel Lozano:
Editorial Real coded genetic algorithms. Soft Comput. 9(4): 223-224 (2005) - [j84]Francisco Herrera, Manuel Lozano, Ana M. Sánchez:
Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Comput. 9(4): 280-298 (2005) - [j83]Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera:
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans. Fuzzy Syst. 13(1): 13-29 (2005) - [c31]Daniel Molina, Francisco Herrera, Manuel Lozano:
Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation 2005: 888-895 - [c30]Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera:
An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. EUSFLAT Conf. 2005: 904-909 - [c29]Francisco José Berlanga, María José del Jesus, Francisco Herrera:
Learning compact fuzzy rule-based classification systems with genetic programming. EUSFLAT Conf. 2005: 1027-1032 - [c28]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero:
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. FUZZ-IEEE 2005: 797-802 - [p3]María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero:
Evolutionary Induction of Descriptive Rules in a Market Problem. Intelligent Data Mining 2005: 267-292 - [p2]Enrique Herrera-Viedma, Carlos Porcel, Francisco Herrera, Luis Martínez-López, Antonio Gabriel López-Herrera:
Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. Intelligent Data Mining 2005: 463-486 - 2004
- [j82]Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina:
Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evol. Comput. 12(3): 273-302 (2004) - [j81]Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana, María Luque:
Some issues on consistency of fuzzy preference relations. Eur. J. Oper. Res. 154(1): 98-109 (2004) - [j80]Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena:
Genetic fuzzy systems. New developments. Fuzzy Sets Syst. 141(1): 1-3 (2004) - [j79]Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena:
Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets Syst. 141(1): 5-31 (2004) - [j78]Enrique Herrera-Viedma, Francisco Herrera, Luis Martínez-López, Juan Carlos Herrera, Antonio Gabriel López-Herrera:
Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web. Fuzzy Sets Syst. 148(1): 61-83 (2004) - [j77]Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. Int. J. Hybrid Intell. Syst. 1(1): 36-48 (2004) - [j76]Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera, Sergio Alonso:
Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations. Int. J. Intell. Syst. 19(3): 233-255 (2004) - [j75]Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
Rationality of induced ordered weighted operators based on the reliability of the source of information in group decision-making. Kybernetika 40(1): 121-142 (2004) - [c27]Carlos García-Martínez, Oscar Cordón, Francisco Herrera:
An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP. ANTS Workshop 2004: 61-72 - [c26]Rafael Alcalá, Francisco Herrera:
Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation. FUZZ-IEEE 2004: 233-238 - [c25]Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. MDAI 2004: 227-238 - 2003
- [j74]Bernard De Baets, Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, János C. Fodor, Luis Martínez-López:
Preference modelling and applications: Selected papers from EUROFUSE 2001, Granada. Fuzzy Sets Syst. 137(1): 1-2 (2003) - [j73]Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators. Fuzzy Sets Syst. 137(1): 71-83 (2003) - [j72]Oscar Cordón, Francisco Herrera, Igor Zwir:
A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology. Fuzzy Sets Syst. 138(2): 307-341 (2003) - [j71]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning. Integr. Comput. Aided Eng. 10(4): 343-355 (2003) - [j70]Rafael Alcalá, José Ramón Cano, Oscar Cordón, Francisco Herrera, Pedro Villar, Igor Zwir:
Linguistic modeling with hierarchical systems of weighted linguistic rules. Int. J. Approx. Reason. 32(2-3): 187-215 (2003) - [j69]Francisco Herrera, Manuel Lozano, Ana M. Sánchez:
A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study. Int. J. Intell. Syst. 18(3): 309-338 (2003) - [j68]Francisco Herrera, Enrique Herrera-Viedma, Francisco Chiclana:
A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making. Int. J. Intell. Syst. 18(6): 689-707 (2003) - [j67]Bernard De Baets, Miguel Delgado, János C. Fodor, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
Editorial: Preference modeling and applications: EUROFUSE 2001. Int. J. Intell. Syst. 18(7): 709-710 (2003) - [j66]Elena Pérez, Francisco Herrera, Cesáreo Hernández-Iglesias:
Finding multiple solutions in job shop scheduling by niching genetic algorithms. J. Intell. Manuf. 14(3-4): 323-339 (2003) - [j65]Francisco Herrera, Manuel Lozano:
Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Soft Comput. 7(8): 545-562 (2003) - [j64]José Ramón Cano, Francisco Herrera, Manuel Lozano:
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans. Evol. Comput. 7(6): 561-575 (2003) - [j63]Oscar Cordón, Francisco Herrera:
Author's reply [to comments on 'A proposal to improve the accuracy of linguistic modelling']. IEEE Trans. Fuzzy Syst. 11(6): 866-869 (2003) - [c24]Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González Muñoz, Raúl Pérez:
Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87 - [c23]Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín:
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. EUSFLAT Conf. 2003: 100-104 - [c22]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Genetic learning of accurate TS models based on local fuzzy prototyping. EUSFLAT Conf. 2003: 105-108 - [p1]Rafael Alcalá, Oscar Cordón, Francisco Herrera:
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. Modelling with Words 2003: 44-63 - 2002
- [j62]Francisco Herrera, Enrique López, Miguel Ángel Rodríguez:
A linguistic decision model for promotion mix management solved with genetic algorithms. Fuzzy Sets Syst. 131(1): 47-61 (2002) - [j61]Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
A note on the internal consistency of various preference representations. Fuzzy Sets Syst. 131(1): 75-78 (2002) - [j60]José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez:
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure. J. Intell. Fuzzy Syst. 12(3-4): 235-242 (2002) - [j59]Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, María J. Martín-Bautista, Luis Martínez-López, María Amparo Vila Miranda:
A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet. Soft Comput. 6(5): 320-328 (2002) - [j58]Oscar Cordón, Francisco Herrera, Igor Zwir:
Linguistic modeling by hierarchical systems of linguistic rules. IEEE Trans. Fuzzy Syst. 10(1): 2-20 (2002) - [j57]Enrique Herrera-Viedma, Francisco Herrera, Francisco Chiclana:
A consensus model for multiperson decision making with different preference structures. IEEE Trans. Syst. Man Cybern. Part A 32(3): 394-402 (2002) - [j56]Jorge Casillas, Oscar Cordón, Francisco Herrera:
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Trans. Syst. Man Cybern. Part B 32(4): 526-537 (2002) - [c21]Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera:
Analysis of the Best-Worst Ant System and Its Variants on the QAP. Ant Algorithms 2002: 228-234 - [c20]José Ramón Cano, Oscar Cordón, Francisco Herrera, Luciano Sánchez:
A GRASP Algorithm for Clustering. IBERAMIA 2002: 214-223 - [c19]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302 - [c18]Oscar Cordón, Francisco Herrera, J. de la Montaña, Ana M. Sánchez, Pedro Villar:
A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. IBERAMIA 2002: 381-391 - [c17]Francisco Herrera, Manuel Lozano, Elena Pérez, Ana M. Sánchez, Pedro Villar:
Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms. IBERAMIA 2002: 392-401 - [c16]Rafael Alcalá, Oscar Cordón, Francisco Herrera, Igor Zwir:
Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. ICEIS 2002: 325-333 - [c15]Francisco Herrera, Luis Martínez-López:
Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. ICEIS 2002: 358-366 - [c14]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir:
Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816 - 2001
- [b1]Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena:
Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases. Advances in Fuzzy Systems - Applications and Theory 19, World Scientific 2001, ISBN 978-981-02-4016-5, pp. 1-488 - [j55]Francisco Herrera, Enrique Herrera-Viedma, Francisco Chiclana:
Multiperson decision-making based on multiplicative preference relations. Eur. J. Oper. Res. 129(2): 372-385 (2001) - [j54]Francisco Herrera, Enrique López, Cristina Mendaña, Miguel Ángel Rodríguez:
A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm. Fuzzy Sets Syst. 118(1): 47-64 (2001) - [j53]Oscar Cordón, Francisco Herrera:
Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems. Fuzzy Sets Syst. 118(2): 235-255 (2001) - [j52]Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets Syst. 122(2): 277-291 (2001) - [j51]Oscar Cordón, Francisco Herrera, Igor Zwir:
Fuzzy modeling by hierarchically built fuzzy rule bases. Int. J. Approx. Reason. 27(1): 61-93 (2001) - [j50]Francisco Herrera, Enrique Herrera-Viedma:
Guest Editorial - Computing with Words: Foundations and Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(Supplement): 1-2 (2001) - [j49]Francisco Herrera, Luis Martínez-López:
The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(Supplement): 33-48 (2001) - [j48]Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena:
Recent advances in genetic fuzzy systems - Guest editorial. Inf. Sci. 136(1-4): 1-5 (2001) - [j47]Oscar Cordón, Francisco Herrera, Luis Magdalena, Pedro Villar:
A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base. Inf. Sci. 136(1-4): 85-107 (2001) - [j46]Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera:
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. Inf. Sci. 136(1-4): 135-157 (2001) - [j45]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. J. Intell. Fuzzy Syst. 11(3-4): 99-119 (2001) - [j44]Francisco Herrera, Manuel Lozano:
Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Trans. Evol. Comput. 5(2): 149-165 (2001) - [j43]Oscar Cordón, Francisco Herrera, Pedro Villar:
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base. IEEE Trans. Fuzzy Syst. 9(4): 667-674 (2001) - [j42]Francisco Herrera, Luis Martínez-López:
A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. IEEE Trans. Syst. Man Cybern. Part B 31(2): 227-234 (2001) - [c13]Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan Julián Merelo Guervós:
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution 2001: 311-322 - [c12]Jorge Casillas, Oscar Cordón, Francisco Herrera:
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. EUSFLAT Conf. 2001: 118-121 - [c11]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. EUSFLAT Conf. 2001: 237-240 - [c10]M. Navío, Jose Joaquin Aguilera, María José del Jesus, R. González, Francisco Herrera, C. Iríbar:
Feature Selection Algorithms Applied to Parkinson's Disease. ISMDA 2001: 195-200 - 2000
- [j41]Francisco Herrera, Manuel Lozano:
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Appl. Intell. 13(3): 187-204 (2000) - [j40]M. Rodríguez, Alejandro Ayala, Fernando L. Rosa, Francisco Herrera, Silvestre Rodríguez, Mario Díaz-González:
Portable data acquisition system for EKG measurements in marine environments. Comput. Methods Programs Biomed. 62(2): 145-152 (2000) - [j39]Francisco Herrera, Enrique Herrera-Viedma:
Choice functions and mechanisms for linguistic preference relations. Eur. J. Oper. Res. 120(1): 144-161 (2000) - [j38]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Searching for basic properties obtaining robust implication operators in fuzzy control. Fuzzy Sets Syst. 111(2): 237-251 (2000) - [j37]Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
A fusion approach for managing multi-granularity linguistic term sets in decision making. Fuzzy Sets Syst. 114(1): 43-58 (2000) - [j36]Francisco Herrera, Enrique Herrera-Viedma:
Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst. 115(1): 67-82 (2000) - [j35]Oscar Cordón, Francisco Herrera, Pedro Villar:
Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. Int. J. Approx. Reason. 25(3): 187-215 (2000) - [j34]Francisco Herrera, Luis Martínez-López:
An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(5): 539-562 (2000) - [j33]Francisco Herrera, Manuel Lozano:
Gradual distributed real-coded genetic algorithms. IEEE Trans. Evol. Comput. 4(1): 43-63 (2000) - [j32]Oscar Cordón, Francisco Herrera:
A proposal for improving the accuracy of linguistic modeling. IEEE Trans. Fuzzy Syst. 8(3): 335-344 (2000) - [j31]Francisco Herrera, Luis Martínez-López:
A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6): 746-752 (2000) - [c9]Francisco Herrera, Manuel Lozano:
Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. PPSN 2000: 335-344
1990 – 1999
- 1999
- [j30]Oscar Cordón, Francisco Herrera, Luciano Sánchez:
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Appl. Intell. 10(1): 5-24 (1999) - [j29]Francisco Herrera, Enrique López, Cristina Mendaña, Miguel Ángel Rodríguez:
Solving an assignment-selection problem with verbal information and using genetic algorithms. Eur. J. Oper. Res. 119(2): 326-337 (1999) - [j28]Oscar Cordón, María José del Jesus, Francisco Herrera:
A proposal on reasoning methods in fuzzy rule-based classification systems. Int. J. Approx. Reason. 20(1): 21-45 (1999) - [j27]Francisco Herrera, Manuel Lozano, Claudio Moraga:
Hierarchical distributed genetic algorithms. Int. J. Intell. Syst. 14(11): 1099-1121 (1999) - [j26]Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano:
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach. Int. J. Intell. Syst. 14(11): 1123-1153 (1999) - [j25]Oscar Cordón, Francisco Herrera:
A two-stage evolutionary process for designing TSK fuzzy rule-based systems. IEEE Trans. Syst. Man Cybern. Part B 29(6): 703-715 (1999) - [c8]Oscar Cordón, Francisco Herrera, Pedro Villar:
Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. EUSFLAT-ESTYLF Joint Conf. 1999: 159-162 - [c7]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Characterisation of implication operators in fuzzy rule based systems from basic properties. EUSFLAT-ESTYLF Joint Conf. 1999: 163-166 - [c6]Francisco Herrera, Luis Martínez-López:
A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information. EUSFLAT-ESTYLF Joint Conf. 1999: 453-456 - [c5]Oscar Cordón, Francisco Herrera:
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. IDA 1999: 15-26 - 1998
- [j24]Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano:
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. Inteligencia Artif. 2(5): 56-61 (1998) - [j23]Francisco Herrera, Manuel Lozano, José L. Verdegay:
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artif. Intell. Rev. 12(4): 265-319 (1998) - [j22]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
Choice processes for non-homogeneous group decision making in linguistic setting. Fuzzy Sets Syst. 94(3): 287-308 (1998) - [j21]Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma:
Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations. Fuzzy Sets Syst. 97(1): 33-48 (1998) - [j20]Francisco Herrera, Manuel Lozano, José L. Verdegay:
A learning process for fuzzy control rules using genetic algorithms. Fuzzy Sets Syst. 100(1-3): 143-158 (1998) - [j19]Francisco Herrera, Luis Magdalena:
Introduction: Genetic fuzzy systems. Int. J. Intell. Syst. 13(10-11): 887-890 (1998) - [j18]Oscar Cordón, María José del Jesus, Francisco Herrera:
Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods. Int. J. Intell. Syst. 13(10-11): 1025-1053 (1998) - [j17]Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
Combining Numerical and Linguistic Information in Group Decision Making. Inf. Sci. 107(1-4): 177-194 (1998) - [c4]Oscar Cordón, Francisco Herrera, Luciano Sánchez:
Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. IEA/AIE (Vol. 1) 1998: 478-486 - [c3]Francisco Herrera, Manuel Lozano, Claudio Moraga:
Hybrid Distributed Real-Coded Genetic Algorithms. PPSN 1998: 603-612 - 1997
- [j16]Oscar Cordón, Francisco Herrera, Antonio Peregrín:
Applicability of the fuzzy operators in the design of fuzzy logic controllers. Fuzzy Sets Syst. 86(1): 15-41 (1997) - [j15]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
A rational consensus model in group decision making using linguistic assessments. Fuzzy Sets Syst. 88(1): 31-49 (1997) - [j14]Francisco Herrera, José L. Verdegay:
Fuzzy sets and operations research: Perspectives. Fuzzy Sets Syst. 90(2): 207-218 (1997) - [j13]Francisco Herrera, Manuel Lozano, José L. Verdegay:
Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets Syst. 92(1): 21-30 (1997) - [j12]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making. Int. J. Approx. Reason. 16(3-4): 309-334 (1997) - [j11]Francisco Herrera:
Special issue on genetic fuzzy systems for control and robotics-- Preface. Int. J. Approx. Reason. 17(4): 325-326 (1997) - [j10]Oscar Cordón, Francisco Herrera:
A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples. Int. J. Approx. Reason. 17(4): 369-407 (1997) - [j9]Francisco Herrera, Enrique Herrera-Viedma:
Aggregation operators for linguistic weighted information. IEEE Trans. Syst. Man Cybern. Part A 27(5): 646-656 (1997) - 1996
- [j8]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst. 78(1): 73-87 (1996) - [j7]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets Syst. 79(2): 175-190 (1996) - [j6]Francisco Herrera, José L. Verdegay:
Fuzzy boolean programming problems with fuzzy costs: A general study. Fuzzy Sets Syst. 81(1): 57-76 (1996) - [j5]Francisco Herrera, Manuel Lozano, José L. Verdegay:
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms. Int. J. Intell. Syst. 11(12): 1013-1040 (1996) - [c2]Francisco Herrera, Manuel Lozano:
Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. PPSN 1996: 336-345 - [c1]Oscar Cordón, Francisco Herrera, Manuel Lozano:
A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. PPSN 1996: 720-729 - 1995
- [j4]Francisco Herrera, Manuel Lozano, José L. Verdegay:
Tuning fuzzy logic controllers by genetic algorithms. Int. J. Approx. Reason. 12(3-4): 299-315 (1995) - [j3]Francisco Herrera, Enrique Herrera-Viedma, José L. Verdegay:
A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Inf. Sci. 85(4): 223-239 (1995) - 1994
- [j2]Juan Luis Castro, Francisco Herrera, José L. Verdegay:
Knowledge-based systems and fuzzy boolean programming. Int. J. Intell. Syst. 9(2): 211-225 (1994) - [j1]Francisco Herrera, José L. Verdegay, Margit Kovács:
Homogeneous Linear fuzzy Functions and Ranking Methods in fuzzy Linear Programming Problems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 2(1): 25-36 (1994)
Coauthor Index
[j276] [j261] [j236] [j235] [j229] [c132] [c130] [j226] [j225] [j223] [c122] [j194] [j183] [j182] [j180] [j179] [c113] [c109] [c105] [c97] [j156] [c94] [c91] [c88] [p6] [j152] [j146] [j143] [j128] [j125] [c78] [c77] [c74] [c66] [c54] [p5] [j106] [j105] [j103] [j102] [j100] [c46] [c45] [j92] [c35] [c32] [j90] [c28] [c26] [j71] [j70] [c22] [p1] [c19] [c16] [c14] [j45] [c11]
Humberto Bustince
aka: Humberto Bustince Sola
aka: Humberto Bustince Sola
[j489] [c216] [j455] [e8] [c158] [j112] [j109] [j105] [j92] [j90] [j88] [j83] [j80] [j79] [j77] [c27] [j72] [j71] [j70] [j63] [c24] [c22] [p1] [j60] [j58] [j56] [c21] [c20] [c19] [c18] [c16] [c14] [b1] [j53] [j51] [j48] [j47] [j46] [j45] [j43] [c13] [c12] [c11] [j38] [j35] [j32] [j30] [j28] [j26] [j25] [c8] [c7] [c5] [j24] [j18] [c4] [j16] [j10] [c1]
[i64] [i61] [j537] [j523] [j508] [j505] [c215] [i27] [j455] [j454] [j415] [j409] [c208] [b6] [j403] [j389] [j382] [j381] [j380] [j371] [j362] [j356] [j355] [j352] [j349] [c192] [c185] [j329] [j328] [j321] [c181] [c175] [j305] [j292] [j291] [j284] [j280] [c166] [c164] [c160] [c158] [c156] [c154] [j272] [j267] [j262] [j243] [c146] [j240] [j238] [j237] [j232] [j231] [j228] [c131] [j224] [j221] [j199] [c117] [c114] [p9] [j195] [j188] [j186] [c110] [c108] [c107] [c104] [c98] [j175] [j167] [j166] [j165] [j157] [c92] [c90] [c86] [c85] [c83] [j151] [j147] [j140] [j127] [c80] [c76] [c69] [c67] [c64] [c62] [c60] [j121] [c57] [c52] [c40] [c39] [c36]
[j583] [j582] [i62] [j557] [c225] [i51] [j532] [j526] [j525] [j515] [j506] [j505] [c224] [c222] [b7] [j492] [j482] [j478] [j474] [j468] [j462] [j460] [i40] [i37] [i36] [i34] [j446] [j440] [j432] [j431] [j426] [j418] [j417] [j407] [c211] [c210] [i19] [b6] [j401] [j399] [j394] [j392] [j389] [j387] [j383] [j382] [j375] [j371] [j368] [c204] [c203] [c202] [i18] [i13] [i12] [i11] [i10] [i9] [j361] [j355] [j351] [j346] [j342] [j341] [j339] [j335] [j333] [c190] [c183] [i6] [i5] [j332] [j324] [j322] [j316] [j314] [j312] [j307] [c172] [c170] [b2] [j301] [j295] [j293] [j290] [j289] [j285] [j282] [c165] [c161] [c153] [j271] [j270] [j264] [j256] [j252] [c150] [c148] [j240] [j230] [j227] [c125] [j222] [j219] [j215] [j212] [j210] [j200] [j198] [c120] [c116] [j196] [j189] [j186] [j181] [c104] [c103] [c100] [c99] [j173] [j166] [j161] [j160] [j159] [j157] [j154] [c95] [c89] [c87] [p7] [j151] [j150] [j148] [j141] [j135] [j129] [j127] [c71] [c65] [c64] [j123] [j121] [j114] [j113] [c57] [c55] [c51] [c41] [c40] [c39] [c37] [c36]
[j565] [j562] [j556] [j554] [i58] [j528] [j520] [j512] [j497] [j481] [i25] [j435] [j395] [j390] [c201] [j350] [c169] [c135] [j217] [j202] [j193] [j192] [p8] [j170] [j164] [j163] [j162] [j158] [j145] [j144] [j142] [j138] [j136] [j134] [j133] [j132] [j131] [j130] [j126] [j120] [j118] [j117] [j115] [j111] [c58] [c53] [c49] [j108] [j99] [j97] [c44] [c43] [c42] [j94] [c33] [c30] [p2] [j81] [j78] [j76] [j75] [c25] [j74] [j73] [j68] [j67] [j61] [j59] [j57] [j55] [j52] [j50] [j39] [j37] [j36] [j22] [j21] [j17] [j15] [j12] [j9] [j8] [j7] [j3]
[j483] [i31] [i30] [j455] [j445] [j444] [c209] [j391] [j387] [j379] [i18] [i17] [i16] [i15] [j355] [j352] [b5] [j328] [c174] [c173] [j300] [j291] [j287] [c162] [c155] [c154] [j245] [j244] [j243] [c140] [c138] [j238] [j237] [c129] [c119] [c117] [j191] [c106] [j168] [j167] [j155] [c90] [c86] [j149] [j147] [j140] [j129] [c80] [c75] [c70] [c62] [c60] [j121] [c57] [c56] [c52] [p4] [j107] [j101] [c48] [c47] [c40] [c39] [c38] [c34] [j83] [c29] [p3] [j46] [c10] [j28] [j26] [j24] [j18]
Julián Luengo
aka: Julián Luengo-Martín
aka: Julián Luengo-Martín
[c232] [i66] [j569] [j568] [j567] [j561] [c228] [c227] [c226] [j545] [i49] [i47] [j524] [j511] [i43] [i42] [b7] [j474] [j460] [j458] [i29] [j451] [j446] [j440] [j431] [j425] [j420] [j407] [c211] [c210] [j378] [c204] [c198] [i14] [j355] [j337] [c190] [c184] [i5] [j327] [j326] [j316] [c171] [c170] [b2] [j299] [j294] [j286] [j270] [j255] [j250] [c139] [c137] [j241] [j234] [j227] [c128] [j220] [j215] [j205] [c121] [c116] [j196] [j186] [c102] [j176] [j166] [j160] [j157] [c93] [c82] [j148] [j127] [c79] [c67] [c65] [c64] [c61] [c41]
Eugenio Martínez-Cámara
aka: Eugenio Martínez Cámara
aka: Eugenio Martínez Cámara
[j411] [j385] [j377] [j370] [j350] [j347] [c191] [j325] [c177] [p10] [b3] [c169] [c157] [j274] [j273] [j268] [j265] [j260] [j254] [j247] [j242] [c127] [j218] [j204] [c115] [c111] [j172] [j171] [j133] [j132] [j111] [j94] [j89] [j87] [p2] [j78] [j74] [j73] [j67] [j59] [c15] [j49] [j42] [j37] [j34] [j31] [c6] [j17]
[j580] [i62] [j572] [j560] [i59] [i57] [j553] [i52] [j531] [j521] [j503] [j502] [c219] [j492] [j482] [i37] [i32] [i23] [j449] [j414] [c214] [i19] [j400] [c205] [j336] [c195] [j318] [c179] [j302] [c167] [j263] [c149] [c134] [c133] [j207] [j206] [c124] [c123] [j185] [j184] [j181] [j178] [c96] [j141] [c81] [c73] [c72] [c63] [c59] [j124] [j119] [c50] [j95] [c31] [j82]
Rosana Montes-Soldado
aka: Rosana Montes
aka: Rosana Montes
José A. Sáez
aka: José Antonio Sáez
aka: José Antonio Sáez
Ana M. Sánchez
aka: Ana Maria Sánchez
aka: Ana Maria Sánchez
[j581] [j580] [j579] [j577] [j575] [c235] [c230] [i64] [i62] [j572] [j564] [j562] [j560] [i59] [i58] [i57] [i56] [j543] [j540] [j536] [i54] [i52] [i50] [i48] [j529] [j521] [j517] [j513] [j503] [j502] [c219] [j492] [j482] [j478] [c218] [c217] [i38] [i37] [i35] [i33] [i32] [i23] [i22] [i21] [j453] [j414] [i19]
Iván Sevillano-García
aka: I. Sevillano-García
aka: I. Sevillano-García
Edurne Barrenechea Tartas
aka: Edurne Barrenechea
aka: Edurne Barrenechea
[j580] [c233] [i62] [i57] [j495] [j460] [j454] [j426] [j407] [j394] [c206] [c204] [j355] [j343] [j341] [c194] [c190] [i6] [j324] [c180] [c170] [j301] [j295] [j293] [j290] [j289] [j288] [j282] [c168] [c152] [j275] [j271] [j270] [j251] [c150] [c148] [j222] [j212] [j200] [j198] [c120] [j189] [c103] [c99] [j154] [c95] [c87]
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