García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2015). Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR. 739-748.
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2015
Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection (K. . Jackowski, R. . Burduk, K. . Walkowiak, M. . Woźniak, & H. . Yin, Eds.). Cham: Springer International Publishing.
2014
Fernández, A. ., del Río, S. ., López, V. ., Bawakid, A. ., del Jesus Díaz, M. J. ., Benitez, J. M., & Herrera Triguero, F. . (2014). Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining and Knowledge Discovery, 4, 380-409. https://doi.org/10.1002/widm.1134
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. 110-121. Salamanca (Spain). https://doi.org/10.1007/978-3-319-07617-1_10 (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Transactions on Neural Networks and Learning Systems, 25, 1842-1854. https://doi.org/10.1109/TNNLS.2013.2296501
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). MLeNN: A First Approach to Heuristic Multilabel Undersampling. 1-9. Salamanca (Spain). https://doi.org/10.1007/978-3-319-10840-7_1 (Original work published)
Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining and Knowledge Discovery, 4, 87-103. https://doi.org/10.1002/widm.1118
Parras Gutiérrez, E. . ., Rivas, V. M., Arenas, M. ., & del Jesus Díaz, M. J. . (2014). Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing, 128, 433-446. https://doi.org/10.1016/j.neucom.2013.08.023
Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2014). Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Applied Soft Computing, 25, 26-39. https://doi.org/10.1016/j.asoc.2014.09.011
del Jesus Díaz, M. J. ., Martínez, F. ., Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., & Frías Bustamante, M. del P. . (2014). An ensemble method for time series forecasting with simple exponential smoothing. Presented at the. Rota, Cádiz (Spain). (Original work published)