Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Reducindo, I., & Olague Caballero, G. (2024). Archival and Artificial Intelligence: A Framework to Connect Them in Practice. In Isabel Galina Russell, Glen Layne-Worthey (Eds.), The Routledge Companion to Libraries, Archives, and the Digital Humanities (1st ed., pp. 402-419). Taylor & Francis Group. (ID: 29994)
Olague, M., Olague Caballero, G., Pineda Núñez, R., & Ibarra Vazquez, G. (2024). Salient object detection dataset with adversarial attacks for genetic programming and neural networks. Data in Brief, 57, 1-10. doi: 10.1016/j.dib.2024.111043. (ID: 29993)
Ibarra Vazquez, G., Ramírez Montoya, M. S., Buenestado Fernández, M., & Olague Caballero, G. (2023). Predicting open education competency level: A machine learning approach. HELIYON, 9(11), 1-15. doi: 10.1016/j.heliyon.2023.e20597. (ID: 29035)
Olague Caballero, G., Pineda Núñez, R., Ibarra Vazquez, G., Olague, M., Martínez Navarro, A., Bakshi, S., Vargas Vega, J. N., & Reducindo, I. (2023). Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning. IEEE Transactions on Emerging Topics in Computing, 1-14. doi: 10.1109/TETC.2023.3316549. (ID: 29032)
Olague Caballero, G., Olague, M., Ibarra Vazquez, G., Reducindo, I., Barrera Román, A., Martínez Navarro, A., & Briseño Cervantes, J. L. (2023). Modeling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification Through Inferential Knowledge. In Trujillo, Winkler, Silva, and Banzhaf. (Eds.), Genetic Programming Theory and Practice XIX (pp. 141-166). Springer. (ID: 29036)
Ochoa Montiel, M. R., Sossa Azuela, J. H., Olague Caballero, G., & Sánchez López, C. (2023). Automatic Recognition of Leukemia AML Using Evolutionary Vision. Computación y Sistemas, 27(1), 247-256. doi: 10.13053/cys-27-1-4536. (ID: 29033)
Ochoa Montiel, M. R., Chan Ley, M. A., Sossa Azuela, J. H., Olague Caballero, G., & Morales López, F. E. (2022). Leukemia recognition with evolutionary vision and knowledge transfer. International Journal of Combinatorial Optimization Problems and Informatics, 13(4), 9. (ID: 28112)
Olague Caballero, G., Menéndez Clavijo, J. A., Olague, M., Ocampo, A., Ibarra Vazquez, G., Ochoa Montiel, M. R., & Pineda Núñez, R. (2022). Automated Design of Salient Object Detection Algorithms with Brain Programming. Applied Sciences, 12(10), 32. doi: 10.3390/app122010686. (ID: 28097)
Reducindo, I., & Olague Caballero, G. (2022). Cadena de preservación digital resiliente: una aproximación desde la programación genética. In Nelson Javier Pulido Daza Adriana Mata Puente (Eds.), El documento digital: aspectos para garantizar su integridad por la ciudadanía (pp. 103-132). Universidad Autónoma de San Luis Potosí. (ID: 28172)
Hernández Valencia, B., Castro Chacón, J. H., Reyes Ruiz, M., Lehner, M. J., Guerrero, C. A., Silva, J. S., Hernández Águila, J. B., Alvarez Santana, F. I., Sánchez, E., Nuñez, J. M., Calvario Velásquez, L. T., Figueroa, L., Huang, C. K., Wang, S., Alcock, C., Chen, W. P., Granados Contreras, A. P., Geary, J. C., Cook, K. H., Kavelaars, J. J., Norton, T., Szentgyorgyi, A., Yen, W. L., Zhang, Z. W., & Olague Caballero, G. (2022). Pattern Recognition Using SVM for the Classification of the Size and Distance of Trans-Neptunian Objects Detected by Serendipitous Stellar Occultations. Publications of the Astronomical Society of the Pacific, 134(1038), 15. doi: 10.1088/1538-3873/ac7f5c. (ID: 28113)
Chowdhury, D. P., Bakshi, S., Pero, C., Olague Caballero, G., & Sa, P. K. (2022). Privacy Preserving Ear Recognition System using Transfer Learning in Industry 4.0. IEEE Transactions on Industrial Informatics. (ID: 28102)
Olague Caballero, G. (2022). Commentary on "On the optimal placement of cameras for surveillance and the underlying set cover problem" [Applied Soft Computing, vol. 74, 2019, pages 133-153]. Applied Soft Computing, 126(9), 4. doi: 10.1016/j.asoc.2022.109299. (ID: 28103)
Ibarra Vazquez, G., Olague Caballero, G., Chan Ley, M. A., Puente Montejano, C. A., & Soubervielle Montalvo, C. (2022). Brain programming is immune to adversarial attacks: Towards accurate and robust image classification using symbolic learning. Swarm and Evolutionary Computation, 71(101059), 17. doi: 10.1016/j.swevo.2022.101059. (ID: 28104)
Soubervielle Montalvo, C., Perez Cham, O. E., Puente Montejano, C. A., González Galván, E. J., Olague Caballero, G., Aguirre Salado, C. A., Cuevas Tello, J. C., & Ontanon Garcia, L. J. (2022). Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for a Real-Time Video Tracking. Sensors, 22(1280), 1-26. doi: 10.3390/s22031280. (ID: 27583)
Ochoa Montiel, M. R., Sossa Azuela, J. H., Olague Caballero, G., Chan Ley, M. A., & Menéndez Clavijo, J. A. (2021). Symbolic Learning using Brain Programming for the Recognition of Leukemia Images. Computación y Sistemas, 25(4), 707-718. doi: 10.13053/CyS-25-4-4045. (ID: 27258)