Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Gómez Armenta, J. R., Pérez Espinosa, H., Fernández Zepeda, J. A., & Reyes Meza, V. (2024). Automatic classification of dog barking using deep learning. BEHAVIOURAL PROCESSES. doi: 10.1016/j.beproc.2024.105028. (ID: 29823)
Trejo Sánchez, J. A., Madera Ramírez, F., Fernández Zepeda, J. A., López Martínez, J. L., & Flores Lamas, A. (2022). A fast approximation algorithm for the maximum 2-packing set problem on planar graphs. Optimization Letters. doi: 10.1007/s11590-022-01939-w. (ID: 27979)
Fernández Zepeda, J. A., Trejo Sánchez, J. A., Sansores, C. E., & García Díaz, J. (2022). Approximation Algorithm for the Minimum Hub Cover Set Problem. IEEE Access. doi: 10.1109/ACCESS.2022.3173615. (ID: 27791)
Flores Lamas, A., Fernández Zepeda, J. A., & Trejo Sánchez, J. A. (2020). A distributed algorithm for a maximal 2-packing set in Halin graphs. Journal of Parallel and Distributed Computing, 142, 62-76. doi: 10.1016/j.jpdc.2020.03.016. (ID: 26820)
Perez Mena, A., Fernández Zepeda, J. A., Rivera Caicedo, J. P., & Ávila George, H. (2019). Una aplicación móvil para el monitoreo de cultivos: caso de estudio campaña contra el pulgón amarillo del sorgo. Revista Ibérica de Sistemas e Tecnologias de Informação, (31), 118-133. doi: 10.17013/risti.31.118¿133. (ID: 25609)
Espinosa Curiel, I. E., Rodríguez Jacobo, J., Vázquez Alfaro, E., Fernández Zepeda, J. A., & Fajardo Delgado, D. (2018). Analysis of the Changes in Communication and Social Interactions During the Transformation of a Traditional Team into an Agile Team. Journal of Software: Evolution and Process, 30(9), 1-24. doi: 10.1002/smr.1946. (ID: 24265)
Fernández Zepeda, J. A., Brubeck Salcedo, D., Fajardo Delgado, D., & Zatarain Aceves, H. (2018). A Two-Player Coalition Cooperative Scheme for the Bodyguard Allocation Problem. Journal of Computer Science and Technology, 33(4), 823-837. doi: 10.1007/s11390-018-1858-8. (ID: 23822)
Zatarain Aceves, H., Fernández Zepeda, J. A., & Brizuela Rodríguez, C. A. (2018). The Maximum Uniform Message Distribution Problem. IEEE Access. doi: 10.1109/ACCESS.2018.2837624. (ID: 23687)
Flores Lamas, A., Fernández Zepeda, J. A., & Trejo Sánchez, J. A. (2018). Algorithm to find a maximum 2-packing set in a cactus. Theoretical Computer Science, 725, 31-51. doi: 10.1016/j.tcs.2017.11.030. (ID: 23670)
Fernández Zepeda, J. A., Remírez Pacheco, J. C., & Trejo Sánchez, J. A. (2017). A Self-Stabilizing Algorithm for a Maximal 2-Packing in a Cactus Graph Under Any Scheduler. International Journal of Foundations of Computer Science, 28(8), 1021-1045. doi: 10.1142/S012905411750037X. (ID: 23612)
Espinosa Curiel, I. E., Rodríguez Jacobo, J., & Fernández Zepeda, J. A. (2016). Understanding SPI in small organizations: a study of Mexican software enterprises. Journal of Software: Evolution and Process, 28(5), 372-390. doi: 10.1002/smr.1775. (ID: 20837)
Zatarain Aceves, H., Fernández Zepeda, J. A., Brizuela Rodríguez, C. A., & Fajardo Delgado, D. (2015). A cascade evolutionary algorithm for the bodyguard allocation problem. Applied Soft Computing, 37, 643-651. doi: 10.1016/j.asoc.2015.08.056. (ID: 19498)
Trejo Sánchez, J. A., & Fernández Zepeda, J. A. (2014). Distributed algorithm for the maximal 2-packing in geometric outerplanar graphs. Journal of Parallel and Distributed Computing, 74(3), 2193-2202. doi: 10.1016/j.jpdc.2013.12.002. (ID: 15572)
Espinosa Curiel, I. E., Rodríguez Jacobo, J., Fernández Zepeda, J. A., & Gutiérrez Osorio, U. (2014). Software Process Improvement in Small Organizations: A Knowledge-Management Perspective. In Ricardo Colomo-Palacios, Jose Antonio Calvo-Manzano Villalón, Antonio de Amescua Seco, Tomás San Feliu Gilabert (Eds.), Agile Estimation Techniques and Innovative Approaches to Software Process Improvement (1 ed., pp. 180-197). IGI Global. (ID: 18329)
Fajardo Delgado, D., Fernández Zepeda, J. A., & Bourgeois, A. G. (2012). Randomized self-stabilizing leader election in preference-based anonymous trees. International Journal of Foundations of Computer Science, 23(4), 853-875. doi: 10.1142/S0129054112400394. (ID: 11953)