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Books and Theses
- 2016
[b1]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
Journal Articles
- 2023
- [j75]Antonio Jesús Rivera, J. Cobo Muñoz, M. Dolores Pérez-Godoy, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus:
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine 137: 102494 (2023) - [j74]Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte:
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing 559: 126806 (2023) - [j73]Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus:
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Inf. Fusion 91: 412-423 (2023) - 2022
- [j72]Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus:
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492: 91-106 (2022) - 2021
- [j71]Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus:
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Syst. Appl. 183: 115419 (2021) - [j70]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Inf. Sci. 565: 146-176 (2021) - 2020
- [j69]Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus:
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integr. Comput. Aided Eng. 27(3): 211-231 (2020) - [j68]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) - [j67]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Inf. Fusion 54: 44-60 (2020) - [j66]Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
An analysis of technological frameworks for data streams. Prog. Artif. Intell. 9(3): 239-261 (2020) - [j65]Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus:
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Trans. Fuzzy Syst. 28(12): 3193-3203 (2020) - 2019
- [j64]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) - [j63]Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus:
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cogn. Comput. 11(3): 400-417 (2019) - [j62]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. Int. J. Comput. Intell. Syst. 12(1): 436-452 (2019) - [j61]José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura:
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12(2): 1602-1612 (2019) - [j60]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) - [j59]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) - 2018
- [j58]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) - [j57]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) - [j56]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) - [j55]Pedro González García, Ángel Miguel García-Vico, Cristóbal J. Carmona, María José del Jesus:
Improvement of subgroup descriptions in noisy data by detecting exceptions. Prog. Artif. Intell. 7(1): 55-64 (2018) - [j54]José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura:
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. 48(11): 3030-3044 (2018) - [j53]Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus:
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. IEEE Trans. Fuzzy Syst. 26(5): 2861-2872 (2018) - [j52]Ángel Miguel García-Vico, Cristóbal J. Carmona, Diana Martín, Milton García-Borroto, María José del Jesus:
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. WIREs Data Mining Knowl. Discov. 8(1) (2018) - 2017
- [j51]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) - [j50]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) - [j49]Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus:
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117: 70-78 (2017) - 2016
- [j48]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) - [j47]Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María José del Jesus:
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. R J. 8(2): 307 (2016) - 2015
- [j46]B. García-Domingo, Cristóbal J. Carmona, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera:
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Syst. Appl. 42(13): 5452-5462 (2015) - [j45]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) - [j44]Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo:
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Inf. Sci. 298: 180-197 (2015) - [j43]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) - [j42]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) - 2014
- [j41]M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus:
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Appl. Soft Comput. 25: 26-39 (2014) - [j40]Elisabet Parras-Gutierrez, Víctor M. Rivas, Maribel García Arenas, María José del Jesus:
Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing 128: 433-446 (2014) - [j39]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) - [j38]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) - [j37]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) - 2013
- [j36]Cristóbal J. Carmona, Charalambos Chrysostomou, Huseyin Seker, María José del Jesus:
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm. Appl. Soft Comput. 13(8): 3439-3448 (2013) - [j35]Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera:
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. Expert Syst. Appl. 40(5): 1599-1608 (2013) - [j34]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) - [j33]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) - [j32]Cristóbal J. Carmona, Pedro González, B. García-Domingo, María José del Jesus, Jorge Aguilera:
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. Knowl. Based Syst. 54: 73-85 (2013) - 2012
- [j31]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Syst. Appl. 39(12): 11243-11249 (2012) - [j30]Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus:
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Syst. Appl. 39(13): 11404-11412 (2012) - [j29]Cristóbal J. Carmona, Pedro González, María José Gacto, María José del Jesus:
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. Int. J. Comput. Intell. Syst. 5(2): 355-367 (2012) - [j28]Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor M. Rivas, María José del Jesus:
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. Soft Comput. 16(6): 919-942 (2012) - 2011
- [j27]Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesus, María Pilar Frías, Manuel Parras:
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34(3): 331-346 (2011) - [j26]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) - [j25]Cristóbal J. Carmona, Pedro González, María José del Jesus, Mercedes Navío-Acosta, L. Jiménez-Trevino:
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department. Soft Comput. 15(12): 2435-2448 (2011) - [j24]María José del Jesus, José A. Gámez, Pedro González, José Miguel Puerta:
On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. 1(5): 397-415 (2011) - 2010
- [j23]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, Cristóbal J. Carmona, María Pilar Frías, Manuel Parras:
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int. J. Hybrid Intell. Syst. 7(1): 75-87 (2010) - [j22]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) - [j21]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) - [j20]M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus:
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognit. Lett. 31(15): 2375-2388 (2010) - [j19]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Francisco José Berlanga, María José del Jesus:
CO2RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput. 14(9): 953-971 (2010) - [j18]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) - 2009
- [j17]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) - [j16]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) - [j15]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) - [j14]María José del Jesus, José A. Gámez, José Miguel Puerta:
Evolutionary and metaheuristics based data mining. Soft Comput. 13(3): 209-212 (2009) - [j13]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) - 2008
- [j12]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) - 2007
- [j11]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) - [j10]Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega Lopera, María José del Jesus:
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput. 11(7): 655-668 (2007) - [j9]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) - 2005
- [j8]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) - 2004
- [j7]María José del Jesus, Frank Hoffmann, Luis Junco Navascués, Luciano Sánchez:
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms. IEEE Trans. Fuzzy Syst. 12(3): 296-308 (2004) - 2002
- [j6]Luciano Sánchez, Jorge Casillas, Oscar Cordón, María José del Jesus:
Some relationships between fuzzy and random set-based classifiers and models. Int. J. Approx. Reason. 29(2): 175-213 (2002) - 2001
- [j5]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) - 1999
- [j4]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) - [j3]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) - 1998
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2024
- [c68]Gabriel Quesada Álvarez, María José del Jesus Díaz, Pedro González García:
Explainable Artificial Intelligence: An Overview on Hybrid Models. MAI-XAI@ECAI 2024: 49-60 - 2023
- [c67]Maria Isabel Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy:
Analysis of Transformer Model Applications. HAIS 2023: 231-243 - [c66]David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte:
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. IWANN (2) 2023: 39-51 - 2021
- [c65]Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. IWANN (2) 2021: 272-280 - 2020
- [c64]Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus:
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. SOCO 2020: 100-110 - [c63]Antonio Jesús Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus:
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. SOCO 2020: 276-285 - 2019
- [c62]Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz:
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. IWANN (1) 2019: 270-280 - [c61]Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus:
Automating Autoencoder Architecture Configuration: An Evolutionary Approach. IWINAC (1) 2019: 339-349 - [c60]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 - 2018
- [c59]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. IDEAL (1) 2018: 439-447 - [c58]Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz:
An Approximation to Deep Learning Touristic-Related Time Series Forecasting. IDEAL (1) 2018: 448-456 - 2017
- [c57]Ángel Miguel García-Vico, Pedro González, María José del Jesus, Cristóbal J. Carmona:
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. FUZZ-IEEE 2017: 1-6 - [c56]Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesus:
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. HAIS 2017: 220-232 - [c55]Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar, María José del Jesus:
A Transformation Approach Towards Big Data Multilabel Decision Trees. IWANN (1) 2017: 73-84 - 2016
- [c54]Cristóbal J. Carmona, Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera:
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. HAIS 2016: 273-282 - [c53]Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
R Ultimate Multilabel Dataset Repository. HAIS 2016: 487-499 - [c52]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 - [c51]Ángel Miguel García-Vico, J. Montes, Jorge Aguilera, Cristóbal J. Carmona, María José del Jesus:
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining. SOCO-CISIS-ICEUTE 2016: 334-344 - 2015
- [c50]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 - [c49]Cristóbal J. Carmona, Pedro González, María José del Jesus:
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. IFSA-EUSFLAT 2015 - [c48]Francisco Charte, Antonio Jesús Rivera, María José del Jesus, Francisco Herrera:
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS 2015: 489-501 - [c47]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 - [c46]María Dolores Pérez-Godoy, Antonio Jesús Rivera, Francisco Charte, María José del Jesus:
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. IWANN (1) 2015: 361-373 - 2014
- [c45]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 - [c44]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL 2014: 1-9 - 2013
- [c43]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 - [c42]Cristóbal J. Carmona, Pedro González, María José del Jesus, B. García-Domingo, Jorge Aguilera:
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery. IFSA/NAFIPS 2013: 74-79 - [c41]M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez:
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. IJCNN 2013: 1-8 - [c40]Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesus:
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) 2013: 331-338 - 2012
- [c39]Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus:
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. FUZZ-IEEE 2012: 1-7 - [c38]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 - [c37]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. ICEIS (2) 2012: 239-244 - [c36]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 - [c35]Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera:
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN. SOCO 2012: 439-448 - 2011
- [c34]Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras:
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA 2011: 263-272 - [c33]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 - [c32]Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesus:
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) 2011: 41-48 - 2010
- [c31]Alberto Fernández, María José del Jesus, Francisco Herrera:
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection. GEFS 2010: 69-74 - [c30]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, María Pilar Frías, Manuel Parras:
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market. IEA/AIE (1) 2010: 205-214 - [c29]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesus:
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN 2010: 1-7 - [c28]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 - 2009
- [c27]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 - [c26]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 - [c25]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 - [c24]Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus:
E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting. ISDA 2009: 1445-1449 - [c23]Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus, Juan Julián Merelo Guervós:
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification. IWANN (2) 2009: 37-40 - [c22]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 - [c21]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 - [c20]Maribel García Arenas, Elisabet Parras-Gutierrez, Víctor M. Rivas, Pedro A. Castillo, María José del Jesus, Juan Julián Merelo Guervós:
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms. IWANN (1) 2009: 383-390 - [c19]Pedro L. López, Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Cristóbal J. Carmona:
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. IWANN (1) 2009: 752-759 - 2008
- [c18]Cristóbal J. Carmona, María José del Jesus, Pablo Guerrero, Reyes Peña-Santiago, Víctor M. Rivas:
Techniques of Engineering Applied to a Non-structured Data Model. DCAI 2008: 410-414 - [c17]Elisabet Parras-Gutierrez, María José del Jesus, Juan Julián Merelo Guervós, Víctor M. Rivas:
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design. DCAI 2008: 663-671 - [c16]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 - [c15]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 - [c14]Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus:
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm. HAIS 2008: 140-147 - [c13]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 - [c12]Elisabet Parras-Gutierrez, María José del Jesus, Víctor M. Rivas, Juan Julián Merelo Guervós:
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design. HIS 2008: 519-524 - [c11]Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres:
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. HIS 2008: 943-946 - 2007
- [c10]María José del Jesus, Pedro González, Francisco Herrera:
Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. MCDM 2007: 50-57 - [c9]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 - [c8]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Ignacio Rojas:
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. IWANN 2007: 324-332 - [c7]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 - [c6]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
- [c5]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 - [c4]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 - 2005
- [c3]Francisco José Berlanga, María José del Jesus, Francisco Herrera:
Learning compact fuzzy rule-based classification systems with genetic programming. EUSFLAT Conf. 2005: 1027-1032 - 2003
- [c2]Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, María José del Jesus:
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons. IWANN (1) 2003: 470-477 - 2001
- [c1]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
Parts in Books or Collections
- 2008
- [p2]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 - 2005
- [p1]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
Informal and Other Publications
- 2023
- [i10]Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus:
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search. CoRR abs/2301.06047 (2023) - [i9]Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte:
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR abs/2305.17152 (2023) - [i8]David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte:
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders. CoRR abs/2312.14812 (2023) - 2020
- [i7]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) - [i6]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) - 2018
- [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus:
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. CoRR abs/1802.08465 (2018)
Coauthor Index
Cristóbal J. Carmona
aka: Cristóbal José Carmona
aka: Cristóbal José Carmona
Francisco Charte
aka: Francisco Charte Ojeda
aka: Francisco Charte Ojeda
Pedro González 0001
aka: Pedro González García
aka: Pedro González García
[b1] [j68] [j64] [j60] [j59] [j58] [j57] [j56] [j51] [j50] [j48] [j45] [j43] [j42] [j39] [j38] [j37] [j34] [j33] [j26] [j22] [j21] [j18] [j17] [j16] [j15] [j13] [j12] [j11] [j9] [j8] [j5] [j4] [j3] [j2] [j1] [c60] [c53] [c52] [c50] [c48] [c47] [c45] [c44] [c43] [c38] [c36] [c33] [c31] [c28] [c27] [c26] [c25] [c22] [c21] [c16] [c15] [c13] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [c1] [p2] [p1] [i7] [i6] [i5] [i4] [i3] [i2]
M. Dolores Pérez-Godoy
aka: María Dolores Pérez-Godoy
aka: María Dolores Pérez-Godoy
[b1] [j75] [j74] [j72] [j70] [j69] [j67] [j62] [j60] [j59] [j58] [j49] [j46] [j45] [j42] [j41] [j39] [j35] [j27] [j23] [j22] [j20] [j19] [j10] [c67] [c66] [c63] [c62] [c61] [c59] [c58] [c56] [c55] [c54] [c53] [c52] [c50] [c48] [c46] [c45] [c44] [c43] [c41] [c40] [c38] [c35] [c34] [c32] [c30] [c29] [c22] [c19] [c11] [c8] [c2] [i10] [i9] [i8] [i4] [i3] [i2] [i1]
Víctor Manuel Rivas Santos
aka: Víctor M. Rivas
aka: Víctor M. Rivas
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