Pérez Godoy, M. D., Molina, M., Martínez del Rio, F., Elizondo, D. A., Charte Ojeda, F., & Rivera, A. J. (2024). DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing. Retrieved from https://api.semanticscholar.org/CorpusID:268283297
María Dolores Pérez Godoy
First name
María Dolores
Last name
Pérez Godoy
2024
Mudarra Machuca, A., Valdivia, D., Ducange, P., Germán Morales, M., Rivera Rivas, A. J., & Pérez Godoy, M. D. (2024). Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models. Electronics, 13. https://doi.org/10.3390/electronics13224378
2022
Martínez del Rio, F., Frías, M., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2022). Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. IEEE Access, 10, 3275-3283. https://doi.org/10.1109/ACCESS.2022.3140377
2021
Puentes, F., Pérez Godoy, M. D., González García, P., & del Jesus Díaz, M. J. (2021). Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. 272-280. Springer International Publishing. https://doi.org/10.1007/978-3-030-85099-9_22
2020
Rivera Rivas, A. J., Pérez Godoy, M. D., Elizondo, D., Deka, L., & del Jesus Díaz, M. J. (2020). A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. 276-285. https://doi.org/10.1007/978-3-030-57802-2_27 (Original work published 2020)
Puentes, F., Pérez Godoy, M. D., González García, P., & del Jesus Díaz, M. J. (2020). An analysis of technological frameworks for data streams. Progress in Artificial Intelligence, 9, 239-261. https://doi.org/10.1007/s13748-020-00210-6 (Original work published 2020)
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
Martínez, F., Frías Bustamante, M. del P., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2018). Dealing with seasonality by narrowing the training set in time series forecasting with kNN. Expert Systems With Applications, 103, 38-48. https://doi.org/10.1016/j.eswa.2018.03.005
Rivera Rivas, A. J., Charte Ojeda, F., Espinilla, M., & Pérez Godoy, M. D. (2018). Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo. Enseñanza Y Aprendizaje de Ingeniería de Computadores. Revista de Experiencias Docentes en Ingeniería de Computadores, 8, 67-83.
Puentes, F., Pérez Godoy, M. D., González García, P., & del Jesus Díaz, M. J. (2018). Análisis preliminar de marcos tecnológicos en data stream. 1117-1122. Granada (España). (Original work published)