| An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects AM García‐Vico, CJ Carmona, D Martín, M García‐Borroto, MJ del Jesus Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (1 …, 2018 | 77 | 2018 |
| Spiking neural networks based on two-dimensional materials JB Roldan, D Maldonado, C Aguilera-Pedregosa, E Moreno, F Aguirre, ... npj 2D Materials and Applications 6 (1), 63, 2022 | 30 | 2022 |
| MOEA-EFEP: Multi-objective evolutionary algorithm for extracting fuzzy emerging patterns ÁM García-Vico, CJ Carmona, P González, MJ del Jesus IEEE Transactions on Fuzzy Systems 26 (5), 2861-2872, 2018 | 29 | 2018 |
| Analysing concentrating photovoltaics technology through the use of emerging pattern mining AM García-Vico, J Montes, J Aguilera, CJ Carmona, MJ del Jesus International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián …, 2017 | 26 | 2017 |
| Fepds: A proposal for the extraction of fuzzy emerging patterns in data streams ÁM García-Vico, CJ Carmona, P Gonzalez, H Seker, MJ del Jesus IEEE Transactions on Fuzzy Systems 28 (12), 3193-3203, 2020 | 17 | 2020 |
| A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm AM García-Vico, P González, MJ del Jesus, CJ Carmona 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 14 | 2017 |
| A big data approach for the extraction of fuzzy emerging patterns ÁM García-Vico, P González, CJ Carmona, MJ del Jesus Cognitive Computation 11, 400-417, 2019 | 13 | 2019 |
| TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning I Aguilera-Martos, ÁM García-Vico, J Luengo, S Damas, FJ Melero, ... Neurocomputing 517, 223-228, 2023 | 11 | 2023 |
| Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes CJ Carmona, FJ Pulgar-Rubio, AM García-Vico, P González, ... Proceedings of the VII Simposio Teorıa y Aplicaciones de Minerıa de Datos …, 2015 | 10 | 2015 |
| Clustering: an R library to facilitate the analysis and comparison of cluster algorithms LAP Martos, ÁM García-Vico, P González, CJ Carmona Progress in Artificial Intelligence 12 (1), 33-44, 2023 | 9 | 2023 |
| A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams ÁM García-Vico, CJ Carmona, P González, MJ del Jesus Information Fusion 91, 412-423, 2023 | 7 | 2023 |
| E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments AM Garcia-Vico, F Charte, P Gonzalez, D Elizondo, CJ Carmona Neurocomputing 415, 60-73, 2020 | 7 | 2020 |
| A preliminary analysis on software frameworks for the development of spiking neural networks ÁM García-Vico, F Herrera International Conference on Hybrid Artificial Intelligence Systems, 564-575, 2021 | 5 | 2021 |
| Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments ÁM García-Vico, P González, CJ Carmona, MJ del Jesus Big Data Analytics 4, 1-15, 2019 | 5 | 2019 |
| A comparison of techniques for virtual concept drift detection ML González, J Sedano, ÁM García-Vico, JR Villar 16th International Conference on Soft Computing Models in Industrial and …, 2022 | 4 | 2022 |
| Techniques for Evaluating Clustering Data in R LA Pérez, AM García Vico, P González, CJ Carmona The Clustering package, 2020 | 4 | 2020 |
| Subgroup discovery on multiple instance data JM Luna, CJ Carmona, AM García-Vico, MJ del Jesus, S Ventura International Journal of Computational Intelligence Systems 12 (2), 1602-1612, 2019 | 4 | 2019 |
| TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and … I Aguilera-Martos, ÁM García-Vico, J Luengo, S Damas, FJ Melero, ... arXiv preprint arXiv:2206.03179, 2022 | 3 | 2022 |
| A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams ÁM García-Vico, C Carmona, P González, MJ del Jesus Expert Systems with Applications 183, 115419, 2021 | 3 | 2021 |
| The influence of noise on the evolutionary fuzzy systems for subgroup discovery J Luengo, AM García-Vico, MD Pérez-Godoy, CJ Carmona Soft Computing 20, 4313-4330, 2016 | 3 | 2016 |
Cristóbal J. CarmonaFull Professor at University of Jaenujaen.es의 이메일 확인됨