Alejandro Rosales-Pérez

发表

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, Neurocomputing.

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

S. García, Alejandro Rosales-Pérez, F. Herrera, 2022, IEEE Transactions on Cybernetics.

MC 2 ESVM : Multiclass Classification Based on Cooperative Evolution of Support Vector Machines

C. Coello, S. García, H. Terashima-Marín, 2018 .

Applying automatic heuristic-filtering to improve hyper-heuristic performance

Carlos A. Coello Coello, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Genetic Fuzzy Relational Neural Network for Infant Cry Classification

Pilar Gómez-Gil, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2011, MCPR.

MOPG: a multi-objective evolutionary algorithm for prototype generation

Hugo Jair Escalante, Mario Graff, Manuel Montes-y-Gómez, 2017, Pattern Analysis and Applications.

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

Francisco Herrera, Carlos A. Coello Coello, Hugo Terashima-Marín, 2018, IEEE Computational Intelligence Magazine.

A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels pdf

Mehrin Kiani, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2021, IEEE Transactions on Services Computing.

A review on machine learning techniques for acute leukemia classification

Alejandro Rosales-Pérez, 2022, Biosignal Processing and Classification Using Computational Learning and Intelligence.

Surrogate modeling based on an adaptive network and granular computing

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2016, Soft Comput..

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

Francisco Herrera, Carlos A. Coello Coello, Alejandro Rosales-Pérez, 2017, IEEE Transactions on Evolutionary Computation.

EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2016, Intelligent Data Analysis.

Surrogate-assisted multi-objective model selection for support vector machines

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2015, Neurocomputing.

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

José Ramón Cano, Salvador García, Alejandro Rosales-Pérez, 2021, Swarm Evol. Comput..

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

Francisco Herrera, Bartosz Krawczyk, Salvador García, 2016, Knowl. Based Syst..

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2015, Biomed. Signal Process. Control..

Infant Cry Classification Using Genetic Selection of a Fuzzy Model

Carlos A. Reyes García, Alejandro Rosales-Pérez, Jesus A. Gonzalez, 2012, CIARP.

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

Alejandro Rosales-Pérez, Julián Luengo, Salvador García, 2020, GECCO.

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, CIARP.

Curriculum learning and evolutionary optimization into deep learning for text classification

Alejandro Rosales-Pérez, Fernando Sánchez-Vega, Víctor Muñiz-Sánchez, 2023, Neural computing & applications (Print).

A hybrid surrogate-based approach for evolutionary multi-objective optimization

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Labyrinth Game for Blind Children Using Problem Solving Learning Model

Lala Septem Riza, Haviluddin, Edy Budiman, 2020, Int. J. Emerg. Technol. Learn..

Cooperative multi-objective evolutionary support vector machines for multiclass problems

Francisco Herrera, Carlos A. Coello Coello, Hugo Terashima-Marín, 2018, GECCO.

Acute leukemia classification by ensemble particle swarm model selection

Hugo Jair Escalante, Leopoldo Altamirano Robles, Manuel Montes-y-Gómez, 2012, Artif. Intell. Medicine.

Enhancing Selection Hyper-Heuristics via Feature Transformations

Carlos A. Coello Coello, Hugo Terashima-Marín, Iván Amaya, 2018, IEEE Computational Intelligence Magazine.

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2014, CIARP.