Rafael Rivera-López

Artículos en Revistas de Investigación

2024

Rivera-López, R., Ceballos-Cancino, H. G. (2024) A Differential-Evolution-based approach to extract univariate Decision Trees from black-box models using tabular data, IEEE Access. https://doi.org/10.1109/ACCESS.2024.3498907 JCR Q1
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
De la Cruz-Ruiz. F., Canul-Reich, J., Rivera-López, R., De la Cruz-Hernández, E. (2024). Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis. Intelligent Medicine, 4(3), 188-199. https://doi.org/10.1016/j.imed.2023.02.001 Scopus
Barradas-Palmeros, J.-A., Mezura-Montes, E., Rivera-López, R., Acosta-Mesa, H.-G.,Márquez-Grajales, A. (2024) Computational Cost Reduction in Multi-Objective Feature Selection Using Permutational-Based Differential Evolution. Mathematical and Computational Applications. 29(4), 56. https://doi.org/10.3390/mca29040056 JCR Q2

2023

Salvador-González, M.C., Canul-Reich, J., Rivera-López, R., Mezura-Montes, E., De la Cruz-Hernandez, E. (2023) Evolutionary Selection of a Set of Association Rules Considering Biological Constraints Describing the Prevalent Elements in Bacterial Vaginosis. Mathematical and Computational Applications, 28(3), 75. https://doi.org/10.3390/mca28030075 JCR Q2
M.A. Morales-Hernández, R. Rivera-López, E. Mezura-Montes (2023) Inducción de árboles de decisión oblicuos utilizando dos variantes de evolución diferencial adaptiva. Research in Computing Science, 15(6), 287-298. Link

2022

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

2021

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
Labrada-Nueva, Y., Cruz-Rosales, M. H., Rendón-Mancha, J. M., Rivera-López, R., Eraña-Díaz, M. L., Cruz-Chávez, M. A. (2021). Overlap detection in 2D amorphous shapes for paper optimization in digital printing presses. Mathematics, 9(9), 1033. https://doi.org/10.3390/math9091033 JCR Q1
Enríquez-Urbano, J.; Cruz-Chávez, M.A.; Rivera-López, R.; Cruz-Rosales, M.H.; Labrada-Nueva, Y.; Eraña-Díaz, M.L. (2021) Metaheuristic to Optimize Computational Convergence in Convection-Diffusion and Driven-Cavity Problems. Mathematics, 9(7), 748. https://doi.org/10.3390/math9070748 JCR Q1

2020

Cruz-Chávez, M.A.; Moreno-Bernal, P.; Rivera-López, R.; Ávila-Melgar, E.Y.; Martínez-Bahena, B.; Cruz-Rosales, M.H. (2020) GIS Spatial Optimization for Corridor Alignment Using Simulated Annealing. Applied Sciences, 10(18), 6190. https://doi.org/10.3390/app10186190 JCR Q2
Eraña-Díaz, M. L., Cruz-Chávez, M. A., Rivera-López, R., Martínez-Bahena, B., Cruz-Rosales, M. H. (2020). Optimization for risk decision-making through simulated annealing. IEEE Access, 8, 117063-117079. https://doi.org/10.1109/ACCESS.2020.3005084 JCR Q1
Rivera-López, R., Mezura-Montes, E., Canul-Reich, J., & Cruz-Chávez, M. A. (2020). A permutational-based differential evolution algorithm for feature subset selection. Pattern Recognition Letters, 133, 86-93. https://doi.org/10.1016/j.patrec.2020.02.021 JCR Q2

Artículos en Conferencias

2024

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
Barradas-Palmeros, JA., Rivera-López, R., Mezura-Montes, E., Acosta-Mesa, HG. (2024). Experimental Study of the Instance Sampling Effect on Feature Subset Selection Using Permutational-Based Differential Evolution. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. LNCS, vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_31
Morales-Hernández, M.Á., Rivera-López, R., Mezura-Montes, E., Canul-Reich, J., Cruz-Chávez, M.A. (2024). Comparative Study of the Starting Stage of Adaptive Differential Evolution on the Induction of Oblique Decision Trees. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. LNCS, vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_34

2023

Barradas-Palmeros, J. A., Mezura-Montes, E., Acosta-Mesa, H. G., Rivera-López, R. (2023). Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution. In: Rodríguez-González, A.Y., Pérez-Espinosa, H., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-López, J.A. (eds) Pattern Recognition. MCPR 2023. LNCS, vol 13902. Springer, Cham. https://doi.org/10.1007/978-3-031-33783-3_6
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

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