Publicaciones
Producción científica y de divulgación organizada por tipo de publicación y año. Las referencias se presentan en formato APA.
Artículos en revistas |
Congresos internacionales |
Capítulos de libro |
Divulgación científica |
Artículos en revistas
2025
• Morales-Reyes, J. L., Aquino-Bolaños, E. N., Acosta-Mesa, H. G., Pérez-Castro, N., & Chavez-Servia, J. L. (2025). Classification of common bean landraces of three species using a neuroevolutionary approach with probabilistic color characterization. Mathematical and Computational Applications, 30(3), 66. https://doi.org/10.3390/mca30030066
2024
• Salas-Martínez, F., Márquez-Grajales, A., Valdés-Rodríguez, O. A., Palacios-Wassenaar, O. M., & Pérez-Castro, N. (2024). Prediction of agricultural drought behavior using the Long Short-Term Memory Network (LSTM) in the central area of the Gulf of Mexico. Theoretical and Applied Climatology, 155(8), 7887–7907. https://doi.org/10.1007/s00704-024-05100-8
• Machorro-Cano, I., Olmedo-Aguirre, J. O., Alor-Hernández, G., Rodríguez-Mazahua, L., Sánchez-Morales, L. N., & Pérez-Castro, N. (2024). Cloud-based platforms for health monitoring: A review. Informatics, 11(1), 2. https://doi.org/10.3390/informatics11010002
• Castro-Romero, L. A., García-Lozano, H. N., Santiaguillo-Salinas, J., & Pérez-Castro, N. (2024). Control-observador para seguimiento en un robot diferencial de segundo orden. Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI, 12(Especial 2), 1–7. https://doi.org/10.29057/icbi.v12iEspecial2.12072
• Alfonso-Jiménez, J. L., Santiaguillo-Salinas, J., García-Lozano, H. N., & Pérez-Castro, N. (2024). Seguimiento en formación para un sistema multi-agente heterogéneo. Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI, 12(Especial 2), 8–13. https://doi.org/10.29057/icbi.v12iEspecial2.12073
2021
• Márquez-Grajales, A., Acosta-Mesa, H. G., Mezura-Montes, E., Hernández-Jiménez, R., Pérez-Castro, N., Aguilar-Justo, A. E., & Salas-Martínez, F. (2021). Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns. Biomedical Signal Processing and Control, 69, 102918. https://doi.org/10.1016/j.bspc.2021.102918
• Pérez-Castro, N., Acosta-Mesa, H. G., Mezura-Montes, E., & Cruz-Ramírez, N. (2021). Full model selection problem and pipelines for time-series databases: Contrasting population-based and single-point search metaheuristics. Ingeniería e Investigación, 41(3), e79308. https://doi.org/10.15446/ing.investig.v41n3.79308
2020
• Pérez-Castro, N., & Acosta-Mesa, H. G. (2020). Towards a transfer learning strategy in full model selection algorithm for temporal data mining. Research in Computing Science, 149(3), 65–73.
2017
• Juárez-Castillo, E., Pérez-Castro, N., & Mezura-Montes, E. (2017). An improved centroid-based boundary constraint-handling method in differential evolution for constrained optimization. International Journal of Pattern Recognition and Artificial Intelligence, 31(11), 1759023. https://doi.org/10.1142/S0218001417590236
2013
• Cruz-Ramírez, N., Mezura-Montes, E., Ameca-Alducin, M. Y., Martín-Del-Campo-Mena, E., Acosta-Mesa, H. G., Pérez-Castro, N., Guerra-Hernández, A., Hoyos-Rivera, G., & Barrientos-Martínez, R. E. (2013). Evaluation of the diagnostic power of thermography in breast cancer using Bayesian network classifiers. Computational and Mathematical Methods in Medicine, 2013, 264246. https://doi.org/10.1155/2013/264246
Congresos internacionales
2026
• Prado-Valderrábano, U.-R., Mezura-Montes, E., Rivera-López, R., & Pérez-Castro, N. (2026). MODE-based oblique decision tree induction: Addressing the accuracy-complexity trade-off through a normalized complexity measure. Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2026), Maastricht, The Netherlands. IEEE Press. ACCEPTED
• Hernández-Escobar, J. Y., Rivera-López, R., Mezura-Montes, E., & Pérez-Castro, N. (2026). Permutation-based differential evolution algorithm for unsupervised feature selection. Proceedings of the 29th Iberoamerican Congress on Pattern Recognition (CIARP 2026), Mexico City, Mexico. Springer. ACCEPTED
• Pérez-Castro, N., Mezura-Montes, E., & Acosta-Mesa, H. G. (2026). The impact of crossover and mutation on carbon emissions in real-coded genetic algorithm: An empirical study. In Advances in Computational Intelligence: MICAI 2025 International Workshops (pp. 152–159). Springer. https://doi.org/10.1007/978-3-032-17933-3_16
2023
• Hernández-Bautista, E. B., Pérez-Castro, N., Santiaguillo-Salinas, J., & García-Lozano, H. N. (2023). Geometric figure identification system implemented in the AutoMiny 4.0 platform, based on computational vision. In 2023 XXV Robotics Mexican Congress (COMRob) (pp. 43–48). IEEE. https://doi.org/10.1109/COMRob60035.2023.10349737
• Vidal-Ramírez, M. M., Pérez-Castro, N., Becerril-Morales, F., López-Rodríguez, A., Zúñiga-Marroquín, T., Ruíz-Paz, S. F., & Díaz-Félix, G. (2023). Genetic algorithm-driven image processing pipeline for classifying three bird species: An empirical study of two encoding. In 2023 Mexican International Conference on Computer Science (ENC) (pp. 1–9). IEEE. https://doi.org/10.1109/ENC60556.2023.10508665
2017
• Pérez-Castro, N., Márquez-Grajales, A., Acosta-Mesa, H. G., & Mezura-Montes, E. (2017). Full model selection issue in temporal data through evolutionary algorithms: A brief review. In 2017 IEEE Congress on Evolutionary Computation (CEC) (pp. 2451–2457). IEEE. https://doi.org/10.1109/CEC.2017.7969602
2016
• Pérez-Castro, N., Acosta-Mesa, H. G., Mezura-Montes, E., & Escalante, H. J. (2016). Multi-objective full model selection in temporal databases: Optimizing time and performance. In 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (pp. 1–6). IEEE. https://doi.org/10.1109/ROPEC.2016.7830617
2015
• Pérez-Castro, N., Acosta-Mesa, H. G., Mezura-Montes, E., & Cruz-Ramírez, N. (2015). Towards the full model selection in temporal databases by using micro-differential evolution: An empirical study. In 2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (pp. 1–6). IEEE. https://doi.org/10.1109/ROPEC.2015.7395161
• Juárez-Castillo, E., Pérez-Castro, N., & Mezura-Montes, E. (2015). A novel boundary constraint-handling technique for constrained numerical optimization problems. In 2015 IEEE Congress on Evolutionary Computation (CEC) (pp. 2034–2041). IEEE. https://doi.org/10.1109/CEC.2015.7257135
2013
• Ameca-Alducin, M. Y., Cruz-Ramírez, N., Mezura-Montes, E., Martín-Del-Campo-Mena, E., Pérez-Castro, N., & Acosta-Mesa, H. G. (2013). Assessment of Bayesian network classifiers as tools for discriminating breast cancer pre-diagnosis based on three diagnostic methods. In Advances in Artificial Intelligence: 11th Mexican International Conference on Artificial Intelligence, MICAI 2012 (pp. 419–431). Springer. https://doi.org/10.1007/978-3-642-37807-2_36
Capítulos de libro
2015
• Pérez-Castro, N. (2015). Cáncer de mama e inteligencia artificial. En Un viaje por la ciencia (pp. 39–44). CONACYT, COVEICYDET & Universidad Veracruzana.
Divulgación científica
2026
• Pérez-Castro, N., & Mezura-Montes, E. (2026). IA Verde: El arte de cocinar algoritmos sin calentar el planeta. Komputer Sapiens, Año XVIII, Vol. 3.
2022
• Quevedo-Ortíz, S., Reyes-García, L. D., Corral-Rodríguez, J. E., Pérez-Castro, N., Ruíz-Paz, S. F., & Hernández-Hernández, H. (2022). Hacia la producción agrícola sostenible de chile jalapeño y soledad mediante el procesamiento de imágenes y algoritmos de clasificación. Komputer Sapiens, Año XIV, Vol. 3.
• Salas-Martínez, F., Márquez-Grajales, A., & Pérez-Castro, N. (2022). El clima: ¿superhéroe o enemigo del planeta? La Ciencia y el Hombre, XXXV(3), 42–43.