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ORCIDAlejandro Rosales-Pérez
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2020 – today
- 2024
[c16]Judith Tavarez-Rodríguez, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
Better Together: LLM and Neural Classification Transformers to Detect Sexism. CLEF (Working Notes) 2024: 1260-1273- [c15]Kapioma Villarreal Haro, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
Stacked Reflective Reasoning in Large Neural Language Models. CLEF (Working Notes) 2024: 1297-1311 - 2023
- [j17]Alfredo Arturo Elías Miranda, Daniel Vallejo Aldana, Fernando Sánchez-Vega, Adrián Pastor López-Monroy
, Alejandro Rosales-Pérez, Victor Muñiz-Sanchez:
Curriculum learning and evolutionary optimization into deep learning for text classification. Neural Comput. Appl. 35(28): 21129-21164 (2023) - [j16]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. IEEE Trans. Cybern. 53(8): 4735-4747 (2023) - 2022
- [j15]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:
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. 15(3): 1220-1232 (2022) - [i4]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. CoRR abs/2204.10231 (2022) - [i3]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:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j14]Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García:
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. Swarm Evol. Comput. 66: 100939 (2021) - [i2]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:
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. CoRR abs/2111.05895 (2021) - 2020
- [j13]Lala Septem Riza, Tyas Sawiji, Nurjanah Nurjanah, Haviluddin, Edy Budiman, Alejandro Rosales-Pérez:
A Labyrinth Game for Blind Children Using Problem Solving Learning Model. Int. J. Emerg. Technol. Learn. 15(2): 58-71 (2020) - [c14]Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García:
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. GECCO 2020: 333-341 - [c13]María Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
GRU with Author Profiling Information to Detect Aggressiveness. IberLEF@SEPLN 2020: 246-251
2010 – 2019
- 2018
- [j12]Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13(2): 18-29 (2018) - [j11]Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Enhancing Selection Hyper-Heuristics via Feature Transformations. IEEE Comput. Intell. Mag. 13(2): 30-41 (2018) - [c12]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO 2018: 513-520 - [i1]Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Enhancing Selection Hyper-heuristics via Feature Transformations. CoRR abs/1812.05070 (2018) - 2017
- [j10]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:
MOPG: a multi-objective evolutionary algorithm for prototype generation. Pattern Anal. Appl. 20(1): 33-47 (2017) - [j9]Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera:
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. IEEE Trans. Evol. Comput. 21(6): 863-877 (2017) - [c11]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello:
Evolutionary multilabel hyper-heuristic design. CEC 2017: 2622-2629 - [c10]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:
Applying automatic heuristic-filtering to improve hyper-heuristic performance. CEC 2017: 2638-2644 - 2016
- [j8]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes García, Hugo Jair Escalante:
EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection. Intell. Data Anal. 20(s1): S37-S51 (2016) - [j7]Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera:
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowl. Based Syst. 106: 251-263 (2016) - [j6]Israel Cruz-Vega, Hugo Jair Escalante, Carlos A. Reyes García, Jesus A. Gonzalez, Alejandro Rosales-Pérez:
Surrogate modeling based on an adaptive network and granular computing. Soft Comput. 20(4): 1549-1563 (2016) - 2015
- [j5]Alejandro Rosales-Pérez, Carlos A. Reyes García, Jesus A. Gonzalez, Orion Fausto Reyes-Galaviz, Hugo Jair Escalante, Silvia Orlandi:
Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model. Biomed. Signal Process. Control. 17: 38-46 (2015) - [j4]Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes García:
Surrogate-assisted multi-objective model selection for support vector machines. Neurocomputing 150: 163-172 (2015) - 2014
- [j3]Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes García:
Multi-objective model type selection. Neurocomputing 146: 83-94 (2014) - [j2]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Reyes García, Carlos A. Coello Coello:
Towards a Surrogate-Assisted Multi-Objective Full Model Selection. Res. Comput. Sci. 71: 95-105 (2014) - [c9]Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García:
An evolutionary multi-objective approach for prototype generation. IEEE Congress on Evolutionary Computation 2014: 1100-1107 - [c8]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes García, Hugo Jair Escalante:
Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection. CIARP 2014: 424-431 - [c7]Efraín Mendoza-Castañeda, Carlos A. Reyes García, Hugo Jair Escalante, Wilfrido Moreno, Alejandro Rosales-Pérez:
Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products. CIARP 2014: 666-673 - 2013
- [c6]Alejandro Rosales-Pérez, Carlos Artemio Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García, Hugo Jair Escalante:
A hybrid surrogate-based approach for evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2013: 2548-2555 - [c5]Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes García:
Bias and Variance Optimization for SVMs Model Selection. FLAIRS 2013 - [c4]Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes García, Carlos Artemio Coello Coello:
Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection. IbPRIA 2013: 108-116 - 2012
- [j1]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:
Acute leukemia classification by ensemble particle swarm model selection. Artif. Intell. Medicine 55(3): 163-175 (2012) - [c3]Alejandro Rosales-Pérez, Carlos A. Reyes García, Jesus A. Gonzalez, Emilio Arch Tirado:
Infant Cry Classification Using Genetic Selection of a Fuzzy Model. CIARP 2012: 212-219 - 2011
- [c2]Alejandro Rosales-Pérez, Carlos A. Reyes García, Pilar Gómez-Gil:
Genetic Fuzzy Relational Neural Network for Infant Cry Classification. MCPR 2011: 288-296 - [c1]Alejandro Rosales-Pérez, Carlos A. Reyes García, Pilar Gómez-Gil, Jesus A. Gonzalez, Leopoldo Altamirano Robles:
Genetic Selection of Fuzzy Model for Acute Leukemia Classification. MICAI (1) 2011: 537-548
Coauthor Index
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