| 2022 | HAIS | Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. | Szymon Wojciechowski, Germn Gonzlez-Almagro, Salvador Garca, Michal Wozniak |
| 2021 | DSAA | Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. | Juan-Luis Surez, Salvador Garca, Francisco Herrera |
| 2021 | HAIS | Distance Metric Learning with Prototype Selection for Imbalanced Classification. | Juan-Luis Surez, Salvador Garca, Francisco Herrera |
| 2020 | CEC | A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. | Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador Garca, Isaac Triguero |
| 2020 | GECCO | Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. | Germn Gonzlez-Almagro, Alejandro Rosales-Prez, Julin Luengo, Jos Ramn Cano, Salvador Garca |
| 2020 | HAIS | Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. | Germn Gonzlez-Almagro, Juan-Luis Surez, Julin Luengo, Jos Ramn Cano, Salvador Garca |
| 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 | A First Attempt on Monotonic Training Set Selection. | Jos Ramn Cano, Salvador Garca |
| 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 |
| 2017 | HAIS | rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. | Jacinto Carrasco, Salvador Garca, Mara del Mar Rueda, Francisco Herrera |
| 2016 | HAIS | A Nearest Hyperrectangle Monotonic Learning Method. | Javier Garca, Jos Ramn Cano, Salvador Garca |
| 2016 | HAIS | Managing Monotonicity in Classification by a Pruned AdaBoost. | Sergio Gonzlez, Francisco Herrera, Salvador Garca |
| 2015 | EUSFLAT | An Interval Valued K-Nearest Neighbors Classifier. | Joaqun Derrac, Francisco Chiclana, Salvador Garca, Francisco Herrera |
| 2015 | IDEAL | Managing Monotonicity in Classification by a Pruned Random Forest. | Sergio Gonzlez, Francisco Herrera, Salvador Garca |
| 2015 | TrustCom | Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. | Sergio Ramrez-Gallego, Salvador Garca, Hctor Mourio-Taln, David Martnez-Rego |
| 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 | A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. | Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador Garca, 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 | 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 |
| 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 | 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 | 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 |
| 2009 | HAIS | A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. | Joaqun Derrac, Salvador Garca, 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 |
| 2008 | HAIS | Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. | Salvador Garca, Francisco Herrera |
| 2008 | HIS | Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. | Salvador Garca, Francisco Herrera |
| 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 | 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 |
| 1999 | DEXA | Efficient Retrieval of Structured Documents From Object-Relational Databases. | Rafael Berlanga Llavori, Mara Jos Aramburu Cabo, Salvador Garca |