Alejandro Rosales-Pérez

46 papers A 2B 4C 3Misc 2Journal 25Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Thematic Section:Advances in Pattern Recognition.
Computación y Sistemas (CyS)
Adrián Pastor López-Monroy, Alejandro Rosales-Pérez, José Arturo Olvera-López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad
2025 J jnl
Data augmentation and adversary attack on limit resources text classification.
Multim. Tools Appl.
Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Antonio Balderas-Paredes, Luis Pellegrin, Alejandro Rosales-Pérez
2025 — conf
Handling Constraints in Clustering via Multi-Objective Evolutionary Algorithms.
MCPR
Alejandro Rosales-Pérez, Norberto A. Hernández-Leandro, Erika-Tatiana Rueda-Santos
2025 — conf
Improving Neural Architecture Search with Class Visualization and Bilevel Optimization for Imbalanced Data.
GECCO Companion
Alejandro Rosales-Pérez, Saúl Zapotecas Martínez, Carlos A. Coello Coello
2025 — conf
Leveraging Adapters for Neural Architecture Search in Large Language Models.
MICAI (Workshops, 1)
Alejandro Rosales-Pérez, Adrián Pastor López-Monroy
2025 — conf
Leveraging Reasoning of Auto-Revealed Insights via Knowledge Injection and Evolutionary Prompting for Sexism Analysis.
CLEF (Working Notes)
Kapioma Villarreal Haro, Judith Tavarez-Rodríguez, Guillermo Segura-Gómez, Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy
2025 — ed.
Pattern Recognition - 17th Mexican Conference, MCPR 2025, Guanajuato, Mexico, June 25-28, 2025, Proceedings
MCPR
Adrián Pastor López-Monroy, Alejandro Rosales-Pérez, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López
2025 J jnl
Predict+Optimize Problem in Renewable Energy Scheduling.
IEEE Access
Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, 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
2024 — conf
Better Together: LLM and Neural Classification Transformers to Detect Sexism.
CLEF (Working Notes)
Judith Tavarez-Rodríguez, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy
2024 J jnl
Exploring Class Visualizations for Neural Architecture Search.
Res. Comput. Sci.
Ricardo A. Zavala-Cordero, Alejandro Rosales-Pérez
2024 — conf
Stacked Reflective Reasoning in Large Neural Language Models.
CLEF (Working Notes)
Kapioma Villarreal Haro, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy
2023 J jnl
Curriculum learning and evolutionary optimization into deep learning for text classification.
Neural Comput. Appl.
Alfredo Arturo Elías Miranda, Daniel Vallejo Aldana, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Alejandro Rosales-Pérez, Victor Muñiz-Sanchez
2023 J jnl
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
IEEE Trans. Cybern.
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
2022 J jnl
A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.
IEEE Trans. Serv. Comput.
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
2022 J jnl
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR
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
2022 J jnl
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
CoRR
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
2021 J jnl
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels.
CoRR
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
2021 J jnl
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.
Swarm Evol. Comput.
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2020 J jnl
A Labyrinth Game for Blind Children Using Problem Solving Learning Model.
Int. J. Emerg. Technol. Learn.
Lala Septem Riza, Tyas Sawiji, Nurjanah Nurjanah, Haviluddin, Edy Budiman, Alejandro Rosales-Pérez
2020 — conf
GRU with Author Profiling Information to Detect Aggressiveness.
IberLEF@SEPLN
María Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy
2020 A conf
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.
GECCO
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2018 A conf
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
GECCO
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2018 J jnl
Enhancing Selection Hyper-Heuristics via Feature Transformations.
IEEE Comput. Intell. Mag.
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
Enhancing Selection Hyper-heuristics via Feature Transformations.
CoRR
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag.
Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2017 J jnl
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.
IEEE Trans. Evol. Comput.
Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera
2017 B conf
Applying automatic heuristic-filtering to improve hyper-heuristic performance.
CEC
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
2017 B conf
Evolutionary multilabel hyper-heuristic design.
CEC
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello
2017 J jnl
MOPG: a multi-objective evolutionary algorithm for prototype generation.
Pattern Anal. Appl.
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
2016 J jnl
EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection.
Intell. Data Anal.
Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes-García, Hugo Jair Escalante
2016 J jnl
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst.
Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera
2016 J jnl
Surrogate modeling based on an adaptive network and granular computing.
Soft Comput.
Israel Cruz-Vega, Hugo Jair Escalante, Carlos A. Reyes-García, Jesus A. Gonzalez, Alejandro Rosales-Pérez
2015 J jnl
Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model.
Biomed. Signal Process. Control.
Alejandro Rosales-Pérez, Carlos A. Reyes-García, Jesus A. Gonzalez, Orion Fausto Reyes-Galaviz, Hugo Jair Escalante, Silvia Orlandi
2015 J jnl
Surrogate-assisted multi-objective model selection for support vector machines.
Neurocomputing
Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes-García
2014 B conf
An evolutionary multi-objective approach for prototype generation.
IEEE Congress on Evolutionary Computation
Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes-García
2014 C conf
Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products.
CIARP
Efraín Mendoza-Castañeda, Carlos A. Reyes-García, Hugo Jair Escalante, Wilfrido Moreno, Alejandro Rosales-Pérez
2014 C conf
Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection.
CIARP
Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes-García, Hugo Jair Escalante
2014 J jnl
Multi-objective model type selection.
Neurocomputing
Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes-García
2014 J jnl
Towards a Surrogate-Assisted Multi-Objective Full Model Selection.
Res. Comput. Sci.
Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Reyes-García, Carlos A. Coello Coello
2013 B conf
A hybrid surrogate-based approach for evolutionary multi-objective optimization.
IEEE Congress on Evolutionary Computation
Alejandro Rosales-Pérez, Carlos Artemio Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes-García, Hugo Jair Escalante
2013 Misc conf
Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection.
IbPRIA
Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes-García, Carlos Artemio Coello Coello
2013 Misc conf
Bias and Variance Optimization for SVMs Model Selection.
FLAIRS
Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes-García
2012 J jnl
Acute leukemia classification by ensemble particle swarm model selection.
Artif. Intell. Medicine
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
2012 C conf
Infant Cry Classification Using Genetic Selection of a Fuzzy Model.
CIARP
Alejandro Rosales-Pérez, Carlos A. Reyes-García, Jesus A. Gonzalez, Emilio Arch Tirado
2011 — conf
Genetic Fuzzy Relational Neural Network for Infant Cry Classification.
MCPR
Alejandro Rosales-Pérez, Carlos A. Reyes-García, Pilar Gómez-Gil
2011 — conf
Genetic Selection of Fuzzy Model for Acute Leukemia Classification.
MICAI (1)
Alejandro Rosales-Pérez, Carlos A. Reyes-García, Pilar Gómez-Gil, Jesus A. Gonzalez, Leopoldo Altamirano Robles