José F. Torres
Orcid: 0000-0001-7371-4352
According to our database1,
José F. Torres
authored at least 18 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market.
Expert Syst. Appl., October, 2023
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning.
Proceedings of the Advances in Computational Intelligence, 2023
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
Neural Comput. Appl., 2022
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng., 2022
2021
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020
2019
Expert Syst. J. Knowl. Eng., 2019
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
Proceedings of the Advances in Computational Intelligence, 2019
2018
Inf. Sci., 2018
Integr. Comput. Aided Eng., 2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
2017
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration.
Proceedings of the Advances in Artificial Intelligence, 2016