Alejandro Rosales-Pérez

According to our database, Alejandro Rosales-Pérez authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Better Together: LLM and Neural Classification Transformers to Detect Sexism.

Judith Tavarez-Rodríguez, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Stacked Reflective Reasoning in Large Neural Language Models.

Kapioma Villarreal Haro, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

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., October, 2023

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.

Alejandro Rosales-Pérez, Salvador García, Francisco Herrera

IEEE Trans. Cybern., 2023

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, Zulfiqar Ali, Francisco Rivas

IEEE Trans. Serv. Comput., 2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

CoRR, 2022

2021

ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.

Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García

Swarm Evol. Comput., 2021

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

GRU with Author Profiling Information to Detect Aggressiveness.

María Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.

Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.

Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera

IEEE Comput. Intell. Mag., 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

Cooperative multi-objective evolutionary support vector machines for multiclass problems.

Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.

Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera

IEEE Trans. Evol. Comput., 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

Evolutionary multilabel hyper-heuristic design.

Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

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

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

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

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.

Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera

Knowl. Based Syst., 2016

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

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

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

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

Multi-objective model type selection.

Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes García

Neurocomputing, 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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products.

Efraín Mendoza-Castañeda, Carlos A. Reyes García, Hugo Jair Escalante, Wilfrido Moreno, Alejandro Rosales-Pérez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

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

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Bias and Variance Optimization for SVMs Model Selection.

Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes García

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

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

Infant Cry Classification Using Genetic Selection of a Fuzzy Model.

Alejandro Rosales-Pérez, Carlos A. Reyes García, Jesus A. Gonzalez, Emilio Arch Tirado

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

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

Proceedings of the Advances in Artificial Intelligence, 2011

Genetic Fuzzy Relational Neural Network for Infant Cry Classification.

Alejandro Rosales-Pérez, Carlos A. Reyes García, Pilar Gómez-Gil

Proceedings of the Pattern Recognition - Third Mexican Conference, 2011