Genetic Fuzzy Relational Neural Network for Infant Cry Classification. - Alejandro Rosales-Pérez; Carlos A. Reyes García; Pilar Gómez-Gil (MCPR, 2011)

Genetic Selection of Fuzzy Model for Acute Leukemia Classification. - Alejandro Rosales-Pérez; Carlos A. Reyes García; Pilar Gómez-Gil; Jesus A. Gonzalez; Leopoldo Altamirano Robles (MICAI (1), 2011)

Infant Cry Classification Using Genetic Selection of a Fuzzy Model. - Alejandro Rosales-Pérez; Carlos A. Reyes García; Jesus A. Gonzalez; Emilio Arch Tirado (CIARP, 2012)

Acute leukemia classification by ensemble particle swarm model selection. - Hugo Jair Escalante; Manuel Montes-y-Gómez; Jesús A. González; Pilar Gómez-Gil; Leopoldo Altamirano Robles; Carlos A. Reyes García; Carolina Reta; Alejandro Rosales-Pérez (Artif. Intell. Medicine, 2012)

A hybrid surrogate-based approach for evolutionary multi-objective optimization. - Alejandro Rosales-Pérez; Carlos Artemio Coello Coello; Jesus A. Gonzalez; Carlos A. Reyes García; Hugo Jair Escalante (IEEE Congress on Evolutionary Computation, 2013)

Bias and Variance Optimization for SVMs Model Selection. - Alejandro Rosales-Pérez; Hugo Jair Escalante; Jesus A. Gonzalez; Carlos A. Reyes García (FLAIRS, 2013)

Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection. - Alejandro Rosales-Pérez; Hugo Jair Escalante; Jesus A. Gonzalez; Carlos A. Reyes García; Carlos Artemio Coello Coello (IbPRIA, 2013)

An evolutionary multi-objective approach for prototype generation. - Alejandro Rosales-Pérez; Hugo Jair Escalante; Carlos A. Coello Coello; Jesus A. Gonzalez; Carlos A. Reyes García (IEEE Congress on Evolutionary Computation, 2014)

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products. - Efraín Mendoza-Castañeda; Carlos A. Reyes García; Hugo Jair Escalante; Wilfrido Moreno 001; Alejandro Rosales-Pérez (CIARP, 2014)

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection. - Alejandro Rosales-Pérez; Jesús A. González; Carlos A. Coello Coello; Carlos A. Reyes García; Hugo Jair Escalante (CIARP, 2014)

Multi-objective model type selection. - Alejandro Rosales-Pérez; Jesus A. Gonzalez; Carlos A. Coello Coello; Hugo Jair Escalante; Carlos A. Reyes García (Neurocomputing, 2014)

Towards a Surrogate-Assisted Multi-Objective Full Model Selection. - Alejandro Rosales-Pérez; Jesús A. González; Carlos A. Reyes García; Carlos A. Coello Coello (Res. Comput. Sci., 2014)

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model. - Alejandro Rosales-Pérez; Carlos A. Reyes García; Jesus A. Gonzalez; Orion Fausto Reyes-Galaviz; Hugo Jair Escalante; Silvia Orlandi (Biomed. Signal Process. Control., 2015)

Surrogate-assisted multi-objective model selection for support vector machines. - Alejandro Rosales-Pérez; Jesus A. Gonzalez; Carlos A. Coello Coello; Hugo Jair Escalante; Carlos A. Reyes García (Neurocomputing, 2015)

EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection. - Alejandro Rosales-Pérez; Jesús A. González; Carlos A. Coello Coello; Carlos A. Reyes García; Hugo Jair Escalante (Intell. Data Anal., 2016)

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. - Zhongliang Zhang 001; Bartosz Krawczyk; Salvador García 001; Alejandro Rosales-Pérez; Francisco Herrera (Knowl. Based Syst., 2016)

Surrogate modeling based on an adaptive network and granular computing. - Israel Cruz-Vega; Hugo Jair Escalante; Carlos A. Reyes García; Jesus A. Gonzalez; Alejandro Rosales-Pérez (Soft Comput., 2016)

Applying automatic heuristic-filtering to improve hyper-heuristic performance. - Andrés Eduardo Gutiérrez-Rodríguez; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Ivan M. Amaya-Contreras; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

Evolutionary multilabel hyper-heuristic design. - Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

MOPG: a multi-objective evolutionary algorithm for prototype generation. - Hugo Jair Escalante; Maribel Marin-Castro; Alicia Morales-Reyes; Mario Graff; Alejandro Rosales-Pérez; Manuel Montes-y-Gómez; Carlos A. Reyes García; Jesus A. Gonzalez (Pattern Anal. Appl., 2017)

An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. - Alejandro Rosales-Pérez; Salvador García 001; Jesus A. Gonzalez; Carlos A. Coello Coello; Francisco Herrera (IEEE Trans. Evol. Comput., 2017)

Cooperative multi-objective evolutionary support vector machines for multiclass problems. - Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (GECCO, 2018)

Enhancing Selection Hyper-Heuristics via Feature Transformations. - Iván Amaya; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (IEEE Comput. Intell. Mag., 2018)

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. - Alejandro Rosales-Pérez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (IEEE Comput. Intell. Mag., 2018)

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (GECCO, 2020)

GRU with Author Profiling Information to Detect Aggressiveness. - María Guadalupe Garrido-Espinosa; Alejandro Rosales-Pérez; Adrián Pastor López-Monroy (IberLEF@SEPLN, 2020)

A Labyrinth Game for Blind Children Using Problem Solving Learning Model. - Lala Septem Riza; Tyas Sawiji; Nurjanah Nurjanah; Haviluddin; Edy Budiman; Alejandro Rosales-Pérez (Int. J. Emerg. Technol. Learn., 2020)

ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (Swarm Evol. Comput., 2021)

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - Christoph Bergmeir; Frits de Nijs; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; Priya Galketiya; et al. (CoRR, 2022)

A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. - Javier Andreu-Perez; Humberto Pérez Espinosa; Eva Timonet; Mehrin Kiani; Manuel I. Girón-Pérez; Alma B. Benitez-Trinidad; Delaram Jarchi; Alejandro Rosales-Pérez; Nick Gatzoulis; Orion Fausto Reyes-Galaviz; Alejandro Antonio Torres García; Carlos A. Reyes García; et al. (IEEE Trans. Serv. Comput., 2022)

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. - Alejandro Rosales-Pérez; Salvador García 001; Francisco Herrera (IEEE Trans. Cybern., 2023)

Curriculum learning and evolutionary optimization into deep learning for text classification. - Alfredo Arturo Elías Miranda; Daniel Vallejo Aldana; Fernando Sánchez-Vega; Adrián Pastor López-Monroy; Alejandro Rosales-Pérez; Victor Muñiz-Sanchez (Neural Comput. Appl., 2023)

Stacked Reflective Reasoning in Large Neural Language Models. - Kapioma Villarreal Haro; Fernando Sánchez-Vega; Alejandro Rosales-Pérez; Adrián Pastor López-Monroy (CLEF (Working Notes), 2024)

Better Together: LLM and Neural Classification Transformers to Detect Sexism. - Judith Tavarez-Rodríguez; Fernando Sánchez-Vega; Alejandro Rosales-Pérez; Adrián Pastor López-Monroy (CLEF (Working Notes), 2024)

Exploring Class Visualizations for Neural Architecture Search. - Ricardo A. Zavala-Cordero; Alejandro Rosales-Pérez (Res. Comput. Sci., 2024)

Handling Constraints in Clustering via Multi-Objective Evolutionary Algorithms. - Alejandro Rosales-Pérez; Norberto A. Hernández-Leandro; Erika-Tatiana Rueda-Santos (MCPR, 2025)

Predict+Optimize Problem in Renewable Energy Scheduling. - Christoph Bergmeir; Frits de Nijs; Evgenii Genov; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; et al. (IEEE Access, 2025)

Data augmentation and adversary attack on limit resources text classification. - Fernando Sánchez-Vega; Adrián Pastor López-Monroy; Antonio Balderas-Paredes; Luis Pellegrin; Alejandro Rosales-Pérez (Multim. Tools Appl., 2025)