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2020 – today
- 2025
[j15]Cosmin Madalin Marina, Jorge Pérez-Aracil, Eugenio Lorente-Ramos, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms. Adv. Eng. Informatics 65: 103171 (2025)- [j14]Álvaro Abad-Santjago
, César Peláez-Rodríguez, Jorge Pérez-Aracil, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting. Expert Syst. J. Knowl. Eng. 42(2) (2025) - 2024
- [j13]Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho:
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. Knowl. Based Syst. 283: 111198 (2024) - [j12]César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin Madalin Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz:
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic. Knowl. Based Syst. 291: 111556 (2024) - 2023
- [j11]César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Deep learning ensembles for accurate fog-related low-visibility events forecasting. Neurocomputing 549: 126435 (2023) - [i3]Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho:
Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. CoRR abs/2306.05045 (2023) - 2022
- [j10]Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. Appl. Soft Comput. 118: 108526 (2022) - 2021
- [i2]Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives. CoRR abs/2103.14624 (2021) - 2020
- [j9]David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez:
Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. 32(17): 13917-13929 (2020) - [j8]Sara Cornejo-Bueno, David Casillas-Pérez, Laura Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain. Symmetry 12(6): 1045 (2020)
2010 – 2019
- 2019
- [i1]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
A mixture of experts model for predicting persistent weather patterns. CoRR abs/1903.10012 (2019) - 2018
- [j7]Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez:
Efficient fog prediction with multi-objective evolutionary neural networks. Appl. Soft Comput. 70: 347-358 (2018) - [j6]Oscar García Hinde, Guillermo Terrén-Serrano, M. Á. Hombrados-Herrera, Vanessa Gómez-Verdejo, Silvia Jiménez-Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Manel Martínez-Ramón, Sancho Salcedo-Sanz:
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. Eng. Appl. Artif. Intell. 69: 157-167 (2018) - [j5]Diego Gómez, Pablo Salvador, Julia Sanz, Carlos Casanova-Mateo, Jose Luis Casanova:
Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania. Remote. Sens. 10(10): 1541 (2018) - [c4]Laura Cornejo-Bueno, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz:
Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation. IDEAL (2) 2018: 163-170 - [c3]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
A mixture of experts model for predicting persistent weather patterns. IJCNN 2018: 1-8 - 2016
- [c2]Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Feature selection in solar radiation prediction using bootstrapped SVRs. CEC 2016: 3638-3645 - 2015
- [j4]Miren Nekane Bilbao, Javier Del Ser, Sancho Salcedo-Sanz, Carlos Casanova-Mateo:
On the application of multi-objective harmony search heuristics to the predictive deployment of firefighting aircrafts: a realistic case study. Int. J. Bio Inspired Comput. 7(5): 270-284 (2015) - [j3]Enrique Alexandre, Lucas Cuadra, Sancho Salcedo-Sanz, Á. Pastor-Sánchez, Carlos Casanova-Mateo:
Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications. Neurocomputing 152: 58-68 (2015) - 2014
- [j2]Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, César Hervás-Martínez:
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. Eng. Appl. Artif. Intell. 34: 199-207 (2014) - [j1]Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Jordi Muñoz-Marí, Gustavo Camps-Valls:
Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes. IEEE Geosci. Remote. Sens. Lett. 11(11): 1936-1940 (2014) - 2013
- [c1]Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Á. Pastor-Sánchez, D. Gallo-Marazuela, Antonio Labajo-Salazar, Antonio Portilla-Figueras:
Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables. IDEAL 2013: 318-325
Coauthor Index
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