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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
- 2023
[j570]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)- [j569]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) - [j568]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) - [j567]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) - [j566]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) - [j565]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) - [j564]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) - [j563]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) - [j562]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) - [j561]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) - [j560]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) - [j559]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) - [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) - [c227]Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera:
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS 2023: 39-48 - [c226]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
Optimizing LIME Explanations Using REVEL Metrics. HAIS 2023: 304-313 - [i57]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) - [i56]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) - [i55]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) - 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, 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
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