José Llaguni-Roque, Rocio Barrientos-Martínez, Héctor-Gabriel Acosta-Mesa, Antonia Barranca-Enríquez, Efrén Mezura-Montes, Tania Romo-Gonzalez, Use and comparison of machine learning techniques to discern the protein patterns of autoantibodies present in women with and without breast pathology, Journal of Proteome Research, Vol. 24, No. 1, pp. 289 – 302, 2024, https://pubs.acs.org/doi/full/10.1021/acs.jproteome.4c00759.
Marwa Chabbouh, Slim Bechikh, Efrén Mezura-Montes and Lamjed Ben Said, Evolutionary Optimization of the Area Under Precision-Recall Curve for Classifying Imbalanced Multi-class Data, Journal of Heuristics, 2024 (accepted).
Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Rafael Rivera-López, Hector-Gabriel Acosta-Mesa and Aldo Márquez-Grajales, Computational Cost Reduction in Multi-Objective Feature Selection Using Permutational-Based Differential Evolution, Mathematical and Computational Applications, 29(4):56, 2024, https://doi.org/10.3390/mca29040056.
Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich and Marco-Antonio Cruz-Chávez, An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees, Mathematical and Computational Applications, 29(6):103, 2024, https://doi.org/10.3390/mca29060103.
Jesús-Arnulfo Barradas-Palmeros and Efrén Mezura-Montes, Exploring Generative Artificial Intelligence, Revista Paraguaya de Educación a Distancia, Vol. 5, No. 4, pp. 21-28, 2024, https://doi.org/10.56152/reped2024-dossierIA2-art3.
Hector Ascencion-Mestiza, Serguei Maximov, Juan C. Olivares-Galvan, Rodrigo Ocon-Valdez, Efrén Mezura-Montes and Rafael Escarela-Perez, Optimization of Shunt Reactor Design Using Evolutionary Algorithms: PSO and DE, Electrical Engineering, 2024, https://doi.org/10.1007/s00202-024-02838-2.
David Herrera-Sánchez, Aldo Márquez-Grajales, Héctor-Gabriel Acosta-Mesa and Efrén Mezura-Montes, Feature Selection, Construction and Search Space Reduction Based on Genetic Programming for High-dimensional Datasets, Neural Computing and Applications, 2024, https://doi.org/10.1007/s00521-024-10567-7.
Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina and Efrén Mezura-Montes, An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization, IEEE Transactions on Evolutionary Computation, 2024, http://10.1109/TEVC.2024.3469156.
Aldo Márquez-Grajales, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa and Fernando Salas-Martínez, Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm, Mathematical and Computational Applications, 29(5):78, 2024, https://doi.org/10.3390/mca29050078.
Fernando Salas-Martínez, Aldo Márquez-Grajales, Efrén Mezura-Montes and Héctor Gabriel Acosta-Mesa, asMODiTS: An Application of Surrogate Models to Optimize Time Series Symbolic Discretization Through Archive-Based Training Set Update Strategy, MethodsX, Vol. 13, No. 102840, 2024, https://doi.org/10.1016/j.mex.2024.102840.
Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa and Efrén Mezura-Montes, Induction of Convolutional Decision Trees with Success-History based Adaptive Differential Evolution for Semantic Segmentation, Mathematical and Computational Applications, Vol. 29, No. 4, pp. 48, 2024, https://doi.org/10.3390/mca29040048.
Aldo Márquez-Grajales, Ramiro Villegas-Vega, Fernardo Salas-Martínez, Héctor-Gabriel Acosta-Mesa and Efrén Mezura Montes, Characterizing drought prediction with deep learning: A literature review, MethodsX, Vol. 13, No. 102800, 2024, https://doi.org/10.1016/j.mex.2024.102800.
Daniel Molina-Pérez, Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, Eduardo Vega-Alvarado and María Bárbara Calva-Yañez, Efficiently handling constraints in mixed-integer nonlinear programming problems using gradient-based repair differential evolution, PeerJ Computer Science, 10:e2095, 2024, https://doi.org/10.7717/peerj-cs.2095.
Jesús-Adolfo Mejía-de-Dios, Alejandro Rodríguez-Molina and Efrén Mezura-Montes, Evolutionary Semi-Vectorial Bilevel Optimization in the Mechanical and Control Design of Systems, Engineering Applications of Artificial Intelligence, 2024, https://doi.org/10.1016/j.engappai.2024.108640.
José-Antonio Fuentes-Tomás, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa and Aldo Márquez-Grajales, Tree-based Codification in Neural Architecture Search for Medical Image Segmentation, IEEE Transactions on Evolutionary Computation, Vol. 28, No. 3, pp. 597-607, 2024, https://doi.org/10.1109/TEVC.2024.3353182.
Auria Jimenez Gutierrez, Cinthya Mota-Hernández, Efrén Mezura-Montes, Rafael Alvarado-Corona, Application of the performance of machine learning techniques as support in the prediction of school dropout, Scientific Reports, 14, 3957, 2024, https://doi.org/10.1038/s41598-024-53576-1.
Daniel Molina-Pérez, Efrén Mezura-Montes, Edgar-Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Bárbara Calva-Yañez, A Differential Evolution Algorithm for Solving Mixed-Integer Nonlinear Programming Problems, Swarm and Evolutionary Computation, Vol. 84, 101427, 2024, https://doi.org/10.1016/j.swevo.2023.101427.
International Conferences
Fabiola Paz, Guillermo Leguizamón and Efrén Mezura-Montes, Efficient Differential Grouping Method for Large-scale Constrained Optimization, in Congreso Argentino de Ciencias de la Computación (CACIC), 2024 (accepted).
José-David Velazco-Muñoz, Héctor-Gabriel Acosta-Mesa and Efren Mezura-Montes, Reducing Parameters by Neuroevolution in CNN for Steering Angle Estimation, in Proceedings of the Mexican Conference on Pattern Recognition (MCPR), Lecture Notes in Computer Science, Xalapa, México, Springer, 2024 (accepted).
David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Aldo Márquez-Grajales, Shifting Color Space for Image Classification using Genetic Programming, in Companion Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), ACM Press, pp. 283 – 286, 2024, https://doi.org/10.1145/3638530.3654430.
Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Rafael Rivera-López, Héctor-Gabriel Acosta-Mesa, Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution, in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE Press, pp. 1 – 8, 2024, http://10.1109/CEC60901.2024.10611859.
Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, and Efrén Mezura-Montes, Blood Cell Image Segmentation Using Convolutional Decision Trees and Differential Evolution. in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 315-325 Springer, https://doi.org/10.1007/978-3-031-51940-6_23, 2024.
Carlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, and Efrén Mezura-Montes, A Surrogate-Assisted Differential Evolution Approach for the Optimization of Ben’s Spiker Algorithm Parameters, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 337-348, Springer, https://doi.org/10.1007/978-3-031-51940-6_25, 2024.
David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Auto Machine Learning Based on Genetic Programming for Medical Image Classification, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 349-359, Springer, https://doi.org/10.1007/978-3-031-51940-6_26, 2024.
Aldo Márquez-Grajales, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Fernando Salas-Martínez, Use of a Surrogate Model for Symbolic Discretization of Temporal Data Sets Through eMODiTS and a Training Set with Varying-Sized Instances, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 360-372, Springer, https://doi.org/10.1007/978-3-031-51940-6_27, 2024.
José Antonio Fuentes-Tomás, Héctor Gabriel Acosta-Mesa, Efrén Mezura-Montes, Rodolfo Hernandez Jiménez, Neural Architecture Search for Placenta Segmentation in 2D Ultrasound Images, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 397-408, Springer, https://doi.org/10.1007/978-3-031-51940-6_30, 2024.
Jesús-Arnulfo Barradas-Palmeros, Rafael Rivera-López, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Experimental Study of the Instance Sampling Effect on Feature Subset Selection Using Permutational-Based Differential Evolution, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 409-421, Springer, https://doi.org/10.1007/978-3-031-51940-6_31, 2024.
Miguel Ángel Morales-Hernández, Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco Antonio Cruz-Chávez, Comparative Study of the Starting Stage of Adaptive Differential Evolution on the Induction of Oblique Decision Trees, in: Calvo, H. et al., (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science, Vol 14502, pages 439-452, Springer, https://doi.org/10.1007/978-3-031-51940-6_34, 2024.
National Conferences
Marcos Mejía-Delgadillo, Rubén Alejandro Garrido Moctezuma and Efrén Mezura Montes, Tuning of an I-PD Controller Applied to a Servo System Using the Differential Evolution Algorithm, in Congreso Nacional de Control Automático (CNCA), 2024, ISSN: 2594-2492.
Book Chapters
Eddy Sánchez-DelaCruz, Efrén Mezura-Montes and Maria del Pilar Pozos-Parra, La Inteligencia Artificial en el área médica: desafíos y buenas prácticas. In (eds) Adopción de la Inteligencia Artificial y las Tecnologías Digitales en la Educación Superior: Desafíos y Propuestas, 2024.
