Maria José del Jesus Díaz

First name
Maria José
Last name
del Jesus Díaz

2016

Fernández Hilario, A. L., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9, 69-80.
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García-Vico, Á. M., Montes, J., García, J. J. A., Carmona, C. J., & del Jesus Díaz, M. J. (2016). Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining. Presented at the.
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Martínez, F., Pérez Godoy, M. D., Charte Ojeda, F., & del Jesus Díaz, M. J. (2016). Combining simple exponential smoothing models for time series forecasting. 635-644. Granada (Spain). (Original work published)
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Carmona, C. J., Pulgar Rubio, F. J., Rivera Rivas, A. J., del Jesus Díaz, M. J., & García, J. J. A. (2016). Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. 273-282. Sevilla (Spain): Springer. (Original work published 2026)
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Charte Ojeda, F., Rivera Rivas, A. J., Pulgar Rubio, F. J., & del Jesus Díaz, M. J. (2016). Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU. Enseñanza Y Aprendizaje de Ingeniería de Computadores. Revista de Experiencias Docentes en Ingeniería de Computadores, 6, 19-33.
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García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2016). Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento. Presented at the.
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Charte Ojeda, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. XVII Conferencia de la Asociación Española Para la Inteligencia Artificial (CAEPIA 2016), 821-822. Salamanca (Spain). (Original work published)
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Herrera Triguero, F., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2016). Multilabel Classification: Problem Analysis, Metrics and Techniques. Springer. https://doi.org/10.1007/978-3-319-41111-8
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2015

Charte Ojeda, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2015). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowledge-Based Systems, 89, 385-397. https://doi.org/10.1016/j.knosys.2015.07.019
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Charte Ojeda, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2015). QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. 1-6. Salamanca (Spain). https://doi.org/10.1109/EUROCON.2015.7313677 (Original work published)
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