Escobar, A. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). Revisión y análisis de conceptos en Inteligencia Artificial Explicable. Una aproximación a la unificación de la terminología.
Pedro González García
First name
Pedro
Last name
González García
2021
García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Systems With Applications, 183, 115419.
Pérez-Martos, L. ., González García, P. ., & Carmona, C. J. . (2021). Clustering: Un paquete R para facilitar el análisis de algoritmos de agrupamiento. VI Congreso Español De Informática (CEDI). Presentado en.
García-Vico, Ángel M. ., Elizondo, D. ., Charte Ojeda, F. ., González García, P. ., & Carmona, C. J. . (2021). E2PAMEA: un algoritmo evolutivo para la extraccióni eficiente de patrones emergentes difusos en entornos big data. Conferencia De La Asociación Española Para La Inteligencia Artificial (CAEPIA). Presentado en.
2020
Carmona, C. J. ., González García, P. ., García-Vico, Ángel M. ., & del Jesus Díaz, M. J. . (2020). A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. 1268, 100. https://doi.org/10.1007/978-3-030-57802-2_10
Puentes, F. ., Pérez Godoy, M. D. . ., González García, P. ., & del Jesus Díaz, M. J. . (2020). An analysis of technological frameworks for data streams. Progress in Artificial Intelligence, 9, 239-261. https://doi.org/10.1007/s13748-020-00210-6 (Original work published 2020)
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Elizondo, D. ., & Carmona, C. J. . (2020). E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing, 415, 60-73. https://doi.org/10.1016/j.neucom.2020.07.007 (Original work published 2020)
García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., Seker, H. ., & del Jesus Díaz, M. J. . (2020). FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Transactions on Fuzzy Systems, 28, 3193-3203. https://doi.org/10.1109/TFUZZ.2020.2992849 (Original work published 2020)
2019
García-Vico, Ángel M. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2019). A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cognitive Computation, 11, 400-417. https://doi.org/10.1007/s12559-018-9612-7 (Original work published 2019)
García-Vico, Ángel M. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2019). Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments. Big Data Analytics, 4, 1. https://doi.org/10.1186/s41044-018-0038-8