| 2025 | CEC | A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. | J. J. Herrera, Francisco Herrera, Isaac Triguero |
| 2025 | IJCNN | Security Threats to Explainable Classifiers in Federated Learning. | Mattia Daole, Pietro Ducange, Francisco Herrera, Francesco Marcelloni, Alessandro Renda, Nuria Rodrguez Barroso |
| 2025 | IJCNN | Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation. | Mario Garca-Mrquez, Nuria Rodrguez Barroso, Mara Victoria Luzn, Francisco Herrera |
| 2024 | FedCSIS | Attentiveness on criticisms and definition about Explainable Artificial Intelligence. | Francisco Herrera |
| 2024 | HAIS | Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies. | Ignacio Antequera-Snchez, Juan Luis Surez-Daz, Rosana Montes, Francisco Herrera |
| 2024 | HAIS | A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. | Juan Jos Herrera Aranda, Francisco Herrera, Isaac Triguero |
| 2024 | IJCNN | Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. | Ignacio Aguilera-Martos, Andrs Herrera-Poyatos, Julin Luengo, Francisco Herrera |
| 2024 | IJCNN | Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. | David Herrera-Poyatos, Andrs Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto Garca-Iruela, Francisco G. Fernndez, Francisco Herrera |
| 2024 | IJCNN | Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. | Javier Del Ser, Aitor Martnez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laa, Francisco Herrera |
| 2023 | HAIS | Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. | Ignacio Aguilera-Martos, Julin Luengo, Francisco Herrera |
| 2023 | HAIS | Optimizing LIME Explanations Using REVEL Metrics. | Ivn Sevillano-Garca, Julin Luengo, Francisco Herrera |
| 2021 | DSAA | Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. | Juan-Luis Surez, Salvador Garca, Francisco Herrera |
| 2021 | HAIS | Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. | David Charte, Ivn Sevillano-Garca, Mara Jess Lucena-Gonzlez, Jos Luis Martn-Rodrguez, Francisco Charte, Francisco Herrera |
| 2021 | HAIS | A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks. | ngel Miguel Garca-Vico, Francisco Herrera |
| 2021 | HAIS | Distance Metric Learning with Prototype Selection for Imbalanced Classification. | Juan-Luis Surez, Salvador Garca, Francisco Herrera |
| 2021 | ICMLA | Federated Fuzzy Learning with Imbalanced Data. | Lukas Johannes Dust, Marina Lpez Murcia, Andreas Mkil, Petter Nordin, Ning Xiong, Francisco Herrera |
| 2020 | CEC | Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. | Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera |
| 2020 | CEC | Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. | Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera |
| 2019 | CEC | Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. | Daniel Molina, Francisco Herrera |
| 2019 | COMPLEXIS | Quality Data Processing for Deep Learning. | Francisco Herrera |
| 2019 | FedCSIS | Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. | Eugenio Martnez Cmara, Nuria Rodrguez Barroso, Antonio R. Moya, Jos Alberto Fernndez, Elena Romero, Francisco Herrera |
| 2019 | IWINAC | A Showcase of the Use of Autoencoders in Feature Learning Applications. | David Charte, Francisco Charte, Mara Jos del Jesus, Francisco Herrera |
| 2018 | CEC | A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. | Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera |
| 2018 | CEC | SHADE with Iterative Local Search for Large-Scale Global Optimization. | Daniel Molina, Antonio LaTorre, Francisco Herrera |
| 2018 | GECCO | Cooperative multi-objective evolutionary support vector machines for multiclass problems. | Alejandro Rosales-Prez, Andrs Eduardo Gutirrez-Rodrguez, Salvador Garca, Hugo Terashima-Marn, Carlos A. Coello Coello, Francisco Herrera |
| 2018 | HAIS | On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. | Diego Garca-Gil, Sergio Ramrez-Gallego, Salvador Garca, Francisco Herrera |
| 2018 | IPMU | DNBMA: A Double Normalization-Based Multi-Aggregation Method. | Huchang Liao, Xingli Wu, Francisco Herrera |
| 2018 | IPMU | The Use of Fuzzy Linguistic Information and Fuzzy Delphi Method to Validate by Consensus a Questionnaire in a Blended-Learning Environment. | Jeovani Morales, Rosana Montes, Noe Zermeo, Jeronimo Duran, Francisco Herrera |
| 2018 | IDEAL | Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. | Julin Fernando Muoz-Ordez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik |
| 2017 | CEC | Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? | Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera |
| 2017 | CEC | A first attempt on global evolutionary undersampling for imbalanced big data. | Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera |
| 2017 | CLOSER | Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges. | Francisco Herrera |
| 2017 | HAIS | rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. | Jacinto Carrasco, Salvador Garca, Mara del Mar Rueda, Francisco Herrera |
| 2017 | HAIS | A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost. | Anabel Gmez-Ros, Julin Luengo, Francisco Herrera |
| 2017 | HAIS | A Review of Distributed Data Models for Learning. | Miguel ngel Rodrguez, Alberto Fernndez, Antonio Peregrn, Francisco Herrera |
| 2017 | HAIS | Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? | Ana Valdivia, Mara Victoria Luzn, Francisco Herrera |
| 2017 | ICNC | MapReduce distributed highly random fuzzy forest for noisy big data. | Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramrez-Gallego |
| 2016 | CEC | A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization. | Sancho Salcedo-Sanz, Carlos Camacho-Gmez, Daniel Molina, Francisco Herrera |
| 2016 | CEC | Evolutionary undersampling for extremely imbalanced big data classification under apache spark. | Isaac Triguero, Mikel Galar, D. Merino, Jess Maillo, Humberto Bustince, Francisco Herrera |
| 2016 | ETFA | Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution. | Miguel Len Ortiz, Yigen Zenlander, Ning Xiong, Francisco Herrera |
| 2016 | HAIS | A First Study on the Use of Boosting for Class Noise Reparation. | Pablo Morales-Alvarez, Julin Luengo, Francisco Herrera |
| 2016 | HAIS | R Ultimate Multilabel Dataset Repository. | Francisco Charte, David Charte, Antonio J. Rivera, Mara Jos del Jesus, Francisco Herrera |
| 2016 | HAIS | On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. | Francisco Charte, Antonio J. Rivera, Mara Jos del Jesus, Francisco Herrera |
| 2016 | HAIS | Managing Monotonicity in Classification by a Pruned AdaBoost. | Sergio Gonzlez, Francisco Herrera, Salvador Garca |
| 2015 | CEC | Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization. | Daniel Molina, Francisco Herrera |
| 2015 | CEC | Evolutionary undersampling for imbalanced big data classification. | Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys |
| 2015 | EANN | Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. | Marcelino Lzaro, Francisco Herrera, Anbal R. Figueiras-Vidal |
| 2015 | EUSFLAT | An Interval Valued K-Nearest Neighbors Classifier. | Joaqun Derrac, Francisco Chiclana, Salvador Garca, Francisco Herrera |
| 2015 | EUSFLAT | Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. | Alberto Fernndez, Mikel Galar, Jos Antonio Sanz, Humberto Bustince, Francisco Herrera |
| 2015 | EUSFLAT | A tour on big data classification: Selected Computational Intelligence approaches. | Francisco Herrera |
| 2015 | HAIS | Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. | Francisco Charte, Antonio Jess Rivera, Mara Jos del Jesus, Francisco Herrera |
| 2015 | IDEAL | Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. | Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2015 | IDEAL | Managing Monotonicity in Classification by a Pruned Random Forest. | Sergio Gonzlez, Francisco Herrera, Salvador Garca |
| 2015 | TrustCom | A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. | Jess Maillo, Isaac Triguero, Francisco Herrera |
| 2015 | TrustCom | Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. | Sara del Ro, Jos Manuel Bentez, Francisco Herrera |
| 2014 | CEC | A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. | Bartosz Krawczyk, Isaac Triguero, Salvador Garca, Michal Wozniak, Francisco Herrera |
| 2014 | CEC | Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation. | Daniel Molina, Benjamin Lacroix, Francisco Herrera |
| 2014 | CEC | A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. | Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador Garca, Francisco Herrera |
| 2014 | CIDM | Weighted one-class classification for different types of minority class examples in imbalanced data. | Bartosz Krawczyk, Michal Wozniak, Francisco Herrera |
| 2014 | FUSION | Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions. | Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernndez, Francisco Herrera |
| 2014 | HAIS | Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. | Francisco Charte, Antonio Jess Rivera Rivas, Mara Jos del Jesus, Francisco Herrera |
| 2014 | HAIS | Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes. | Jos A. Sez, Joaqun Derrac, Julin Luengo, Francisco Herrera |
| 2014 | IPMU | Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. | Mikel Elkano, Mikel Galar, Jos Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince |
| 2014 | IDEAL | MLeNN: A First Approach to Heuristic Multilabel Undersampling. | Francisco Charte, Antonio J. Rivera, Mara Jos del Jesus, Francisco Herrera |
| 2014 | IDEAL | Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. | Jos A. Sez, Julin Luengo, Jerzy Stefanowski, Francisco Herrera |
| 2013 | CEC | Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. | Benjamin Lacroix, Daniel Molina, Francisco Herrera |
| 2013 | CEC | Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. | Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera |
| 2013 | HAIS | A First Approach to Deal with Imbalance in Multi-label Datasets. | Francisco Charte, Antonio Jess Rivera Rivas, Mara Jos del Jesus, Francisco Herrera |
| 2013 | HAIS | An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. | Jos A. Sez, Mikel Galar, Julin Luengo, Francisco Herrera |
| 2013 | IFSA | Eliciting comparative linguistic expressions in group decision making. | Rosa M. Rodrguez, Luis Martnez-Lpez, Francisco Herrera |
| 2012 | CEC | Region based memetic algorithm with LS chaining. | Benjamin Lacroix, Daniel Molina, Francisco Herrera |
| 2012 | CEC | Optimising real parameters using the information of a mesh of solutions: VMO algorithm. | Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera |
| 2012 | HAIS | Improving Multi-label Classifiers via Label Reduction with Association Rules. | Francisco Charte, Antonio Jess Rivera Rivas, Mara Jos del Jesus, Francisco Herrera |
| 2012 | HAIS | A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. | Joaqun Derrac, Isaac Triguero, Salvador Garca, Francisco Herrera |
| 2012 | HAIS | A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. | Jos A. Sez, Mikel Galar, Julin Luengo, Francisco Herrera |
| 2012 | ICPRAM | A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. | Salvador Garca, Victoria Lpez, Julin Luengo, Cristbal J. Carmona, Francisco Herrera |
| 2012 | ICPRAM | Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. | Victoria Lpez, Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2012 | IPMU | Group Decision Making with Comparative Linguistic Terms. | Rosa M. Rodrguez, Luis Martnez-Lpez, Francisco Herrera |
| 2011 | CEC | Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. | Francisco Fernndez, Francisco Chvez de la O, Rafael Alcal, Francisco Herrera |
| 2011 | HAIS | Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. | Alberto Fernndez, Salvador Garca, Francisco Herrera |
| 2011 | HAIS | Enhancing IPADE Algorithm with a Different Individual Codification. | Isaac Triguero, Salvador Garca, Francisco Herrera |
| 2011 | ISDA | A multi-objective evolutionary algorithm for mining quantitative association rules. | Diana Martn Rodrguez, Alejandro Rosete, Jess Alcal-Fdez, Francisco Herrera |
| 2011 | ISDA | Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study. | Jos A. Sez, Julin Luengo, Francisco Herrera |
| 2011 | IWANN | A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. | Joaqun Derrac, Chris Cornelis, Salvador Garca, Francisco Herrera |
| 2010 | CEC | MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. | Daniel Molina, Manuel Lozano, Francisco Herrera |
| 2010 | CEC | A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. | Isaac Triguero, Salvador Garca, Francisco Herrera |
| 2010 | ICPR | IFS-CoCo in the Landscape Contest: Description and Results. | Joaqun Derrac, Salvador Garca, Francisco Herrera |
| 2010 | IPMU | Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. | Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2010 | IPMU | A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. | Pedro Villar, Alberto Fernndez, Francisco Herrera |
| 2010 | ISDA | A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets. | Victoria Lpez, Alberto Fernndez, Francisco Herrera |
| 2010 | ISDA | A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. | Jose G. Moreno-Torres, Francisco Herrera |
| 2010 | ISKE | A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems. | Jos A. Sez, Julin Luengo, Francisco Herrera |
| 2009 | CEC | Memetic algorithm with Local search chaining for large scale continuous optimization problems. | Daniel Molina, Manuel Lozano, Francisco Herrera |
| 2009 | EUSFLAT | Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. | Alberto Fernndez, Francisco Jos Berlanga, Mara Jos del Jesus, Francisco Herrera |
| 2009 | EUSFLAT | A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. | Mara Jos Gacto, Rafael Alcal, Francisco Herrera |
| 2009 | EUSFLAT | On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. | Julin Luengo, Francisco Herrera |
| 2009 | EUSFLAT | Distributed Genetic Tuning of Fuzzy Rule-Based Systems. | Ignacio Robles, Rafael Alcal, Jos Manuel Bentez, Francisco Herrera |
| 2009 | GECCO | A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. | Daniel Molina, Manuel Lozano, Francisco Herrera |
| 2009 | GECCO | A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. | Daniel Molina, Manuel Lozano, Francisco Herrera |
| 2009 | HAIS | Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. | Cristbal J. Carmona, Pedro Gonzlez, Mara Jos del Jesus, Francisco Herrera |
| 2009 | HAIS | A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. | Joaqun Derrac, Salvador Garca, Francisco Herrera |
| 2009 | HAIS | Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. | Nicol Flugy Pap, Jess Alcal-Fdez, Andrea Bonarini, Francisco Herrera |
| 2009 | HAIS | A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets. | Jos Antonio Sanz, Alberto Fernndez, Humberto Bustince Sola, Francisco Herrera |
| 2009 | IDEAL | Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. | Alberto Fernndez, Julin Luengo, Joaqun Derrac, Jess Alcal-Fdez, Francisco Herrera |
| 2009 | ISDA | Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. | Mara Jos Gacto, Rafael Alcal, Francisco Herrera |
| 2009 | ISDA | A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. | Salvador Garca, Joaqun Derrac, Julin Luengo, Francisco Herrera |
| 2009 | ISDA | Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. | Julin Luengo, Alberto Fernndez, Salvador Garca, Francisco Herrera |
| 2009 | ISDA | Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. | Daniel Molina, Manuel Lozano, Francisco Herrera |
| 2009 | IWANN | Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. | Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2009 | IWANN | Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. | Julin Luengo, Francisco Herrera |
| 2009 | IWANN | A Preliminar Analysis of CO2RBFN in Imbalanced Problems. | M. Dolores Prez-Godoy, Antonio Jess Rivera Rivas, Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2008 | HAIS | Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. | Pietro Ducange, Rafael Alcal, Francisco Herrera, Beatrice Lazzerini, Francesco Marcelloni |
| 2008 | HAIS | Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. | Salvador Garca, Francisco Herrera |
| 2008 | HIS | A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. | Alberto Fernndez, Mara Jos del Jesus, Francisco Herrera |
| 2008 | HIS | Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. | Salvador Garca, Francisco Herrera |
| 2008 | HIS | Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques. | Antonio Gabriel Lpez-Herrera, Manuel J. Cobo, Enrique Herrera-Viedma, Francisco Herrera |
| 2008 | ISKE | A Multiobjective Evolutionary Algorithm for spam e-mail filtering. | Antonio Gabriel Lpez-Herrera, Enrique Herrera-Viedma, Francisco Herrera |
| 2007 | IFSA | Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. | Antonio Gabriel Lpez-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso |
| 2007 | IWANN | A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets. | Alberto Fernndez, Salvador Garca, Mara Jos del Jesus, Francisco Herrera |
| 2007 | IWANN | A Study on the Use of Statistical Tests for Experimentation with Neural Networks. | Julin Luengo, Salvador Garca, Francisco Herrera |
| 2006 | ICAISC | A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. | Francisco Jos Berlanga, Mara Jos del Jesus, Mara Jos Gacto, Francisco Herrera |
| 2006 | IDEAL | A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. | Salvador Garca, Jos Ramn Cano, Alberto Fernndez, Francisco Herrera |
| 2006 | IDEAL | Incorporating Knowledge in Evolutionary Prototype Selection. | Salvador Garca, Jos Ramn Cano, Francisco Herrera |
| 2006 | MDAI | Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. | Rafael Alcal, Jess Alcal-Fdez, Francisco Jos Berlanga, Mara Jos Gacto, Francisco Herrera |
| 2006 | MDAI | Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. | Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel |
| 2005 | CEC | Adaptive local search parameters for real-coded memetic algorithms. | Daniel Molina, Francisco Herrera, Manuel Lozano |
| 2005 | EUSFLAT | An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. | Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera |
| 2005 | EUSFLAT | Learning compact fuzzy rule-based classification systems with genetic programming. | Francisco Jos Berlanga, Mara Jos del Jesus, Francisco Herrera |
| 2004 | MDAI | A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. | Sergio Alonso, Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma |
| 2003 | EUSFLAT | Genetic learning of accurate TS models based on local fuzzy prototyping. | Rafael Alcal, Jess Alcal-Fdez, Jorge Casillas, Oscar Cordn, Francisco Herrera |
| 2003 | EUSFLAT | Current issues and future directions in evolutionary fuzzy systems research. | Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gmez-Skarmeta, Fernando Jimnez, Gracia Snchez, Oscar Cordn, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio Gonzlez Muoz, Ral Prez |
| 2003 | EUSFLAT | Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. | Francisco Herrera, Francisco Alfredo Mrquez, Antonio Peregrn |
| 2002 | SAC | Hybridizing Hierarchical and Weighted Linguistic Rules. | Rafael Alcal, Jorge Casillas, Oscar Cordn, Francisco Herrera, Igor Zwir |
| 2001 | EUSFLAT | Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. | Rafael Alcal, Jorge Casillas, Oscar Cordn, Francisco Herrera |
| 2001 | EUSFLAT | A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. | Jorge Casillas, Oscar Cordn, Francisco Herrera |
| 2000 | PPSN | Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. | Francisco Herrera, Manuel Lozano |
| 1999 | EUSFLAT | Characterisation of implication operators in fuzzy rule based systems from basic properties. | Oscar Cordn, Francisco Herrera, Antonio Peregrn |
| 1999 | EUSFLAT | Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. | Oscar Cordn, Francisco Herrera, Pedro Villar |
| 1999 | EUSFLAT | A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information. | Francisco Herrera, Luis Martnez-Lpez |
| 1999 | IDA | ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. | Oscar Cordn, Francisco Herrera |
| 1998 | PPSN | Hybrid Distributed Real-Coded Genetic Algorithms. | Francisco Herrera, Manuel Lozano, Claudio Moraga |
| 1996 | PPSN | A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. | Oscar Cordn, Francisco Herrera, Manuel Lozano |
| 1996 | PPSN | Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. | Francisco Herrera, Manuel Lozano |