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)
Francisco Charte Ojeda
First name
Francisco
Last name
Charte Ojeda
2018
2017
Charte Ojeda, F., Romero, I., Pérez Godoy, M. D., Rivera Rivas, A. J., & Castro, E. (2017). Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. Computers \& Chemical Engineering, 101, 23-30. https://doi.org/10.1016/j.compchemeng.2017.02.008
Charte Ojeda, F., Rueda, A. J., Espinilla, M., & Rivera Rivas, A. J. (2017). Evolución tecnológica del hardware de vídeo y las GPU en los ordenadores personales. Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, 7, 111-128.
Nofuentes, G., Gueymard, C., García, J. J. A., Pérez Godoy, M. D., & Charte Ojeda, F. (2017). Is the average photon energy a unique characteristic of the spectral distribution of global irradiance? Solar Energy, 149, 32-43. https://doi.org/10.1016/j.solener.2017.03.086
Charte Ojeda, F., Romero, I., Rivera Rivas, A. J., & Castro, E. (2017). Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO2RBFN. 733-744. Cádiz (Spain). https://doi.org/10.1007/978-3-319-59153-7_63 (Original work published)
Pulgar Rubio, F. J., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2017). On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. 220-232. La Rioja (Spain). https://doi.org/10.1007/978-3-319-59650-1_19 (Original work published)
Charte Ojeda, F., Espinilla, M., Rivera Rivas, A. J., & Pulgar Rubio, F. J. (2017). Uso de dispositivos FPGA como apoyo a la enseñanza de asignaturas de arquitectura de computadores. Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, 7, 37-52.
Prati, R. C., Charte Ojeda, F., & Herrera Triguero, F. (2017). A first approach towards a fuzzy decision tree for multilabel classification. 1-6. Naples (Italy). https://doi.org/10.1109/FUZZ-IEEE.2017.8015521 (Original work published)
Martínez, F., Frías, M., Charte Ojeda, F., & Rivera Rivas, A. J. (2017). A specialized lazy learner for time series forecasting. 1397-1403. Costa Ballena, Rota, Cáadiz (Spain). (Original work published)
Rivera Rivas, A. J., Charte Ojeda, F., Pulgar Rubio, F. J., & del Jesus Díaz, M. J. (2017). A Transformation Approach Towards Big Data Multilabel Decision Trees. 73-84. Cádiz (Spain). https://doi.org/10.1007/978-3-319-59153-7_7 (Original work published)