Rivera-López, R., Mezura-Montes, E., Canul-Reich, J., Cruz-Chávez, M. A. (2024). An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees. Mathematical and Computational Applications, 29(6), 103. https://doi.org/10.3390/mca29060103 JCR Q2

Barradas-Palmeros, J. A., Mezura-Montes, E., Rivera-López, R.,  Acosta-Mesa, H. G. (2024) Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution. In 2024 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE. https://doi.org/10.1109/CEC60901.2024.10611859

De la Cruz-Ruiz. F., Canul-Reich, J., Rivera-López, R., De la Cruz-Hernández, E. (2023). Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis. Intelligent Medicine, In Press. https://doi.org/10.1016/j.imed.2023.02.001 

Perez-Gomez, J. F., Canul-Reich, J., Rivera-Lopez, R., Ocaña, B. H.,  López-Ramírez, C. (2023). Data Balancing for a More Accurate Model of Bacterial Vaginosis Diagnosis. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 (pp. 503-517). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-8742-7_41

de la Cruz-Ruiz, F., Canul-Reichb, J., de la Cruz-Hernández, E., Rivera-Lopez, R. (2022). Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis. International Journal of Combinatorial Optimization Problems & Informatics, 13(4) https://www.ijcopi.org/ojs/article/view/301.

Rivera-Lopez, R., Canul-Reich, J., Mezura-Montes, E., Cruz-Chávez, M. A. (2022). Induction of decision trees as classification models through metaheuristics. Swarm and Evolutionary Computation, 69, 101006. https://doi.org/10.1016/j.swevo.2021.101006 JCR Q1

Juárez-Pérez, F., Cruz-Chávez, M. A., Rivera-López, R., Ávila-Melgar, E. Y., Eraña-Díaz, M. L., Cruz-Rosales, M. H. (2022). Grid-Based Hybrid Genetic Approach to Relaxed Flexible Flow Shop with Sequence-Dependent Setup Times. Applied sciences, 12(2), 607. https://doi.org/10.3390/app12020607 JCR Q2

Eraña-Díaz, M. L., Cruz-Chávez, M. A., Juárez-Pérez, F., Enriquez-Urbano, J., Rivera-López, R., Acosta-Flores, M. (2021). Optimization method to address psychosocial risks through adaptation of the multidimensional Knapsack Problem. Mathematics, 9(10), 1126.  https://doi.org/10.3390/math9101126 JCR Q1