Charte Ojeda, F., & García, L. (2019). El pasado de la computación personal. Historia de la microinformática (2a Edición). Editorial Universidad de Jaén.
Francisco Charte Ojeda
First name
Francisco
Last name
Charte Ojeda
2019
Charte Ojeda, F., Vico, A., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2019). predtoolsTS: R package for streamlining time series forecasting. Progress in Artificial Intelligence, 8, 505-510. https://doi.org/10.1007/s13748-019-00193-z (Original work published 2019)
2018
Charte Ojeda, F., Rivera Rivas, A. J., Charte, D. ", del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing, 289, 68-85. https://doi.org/10.1016/j.neucom.2018.02.011
Viedma, D. T., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). Una primera aproximación a la predicción de variables turísticas con Deep Learning. 939-943. Granada (Spain). (Original work published)
Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2018). A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. 439-447. Madrid (Spain). https://doi.org/10.1007/978-3-030-03493-1_46 (Original work published)
Charte, D. ", Charte Ojeda, F., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. 949-950. Granada (Spain). (Original work published)
Charte, D. ", Charte Ojeda, F., García López, S., & Herrera Triguero, F. (2018). A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Progress in Artificial Intelligence. https://doi.org/10.1007/s13748-018-00167-7 (Original work published 2026)
Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2018). AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. International Journal of Computational Intelligence Systems, 12, 436-452. https://doi.org/10.2991/ijcis.2019.0025 (Original work published 2018)
Trujillo, D., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). An Approximation to Deep Learning Touristic-Related Time Series Forecasting. 448-456. Madrid (Spain). https://doi.org/10.1007/978-3-030-03493-1_47 (Original work published)
Pulgar Rubio, F. J., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales. 1213-1218. Granada (Spain). (Original work published)