Carlos Casanova-Mateo

22 papers B 2C 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms.
Adv. Eng. Informatics
Cosmin Madalin Marina, Jorge Pérez-Aracil, Eugenio Lorente-Ramos, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2025 J jnl
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting.
Expert Syst. J. Knowl. Eng.
Álvaro Abad-Santjago, César Peláez-Rodríguez, Jorge Pérez-Aracil, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2024 J jnl
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic.
Knowl. Based Syst.
César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin Madalin Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz
2024 J jnl
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.
Knowl. Based Syst.
Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
2023 J jnl
Deep learning ensembles for accurate fog-related low-visibility events forecasting.
Neurocomputing
César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2023 J jnl
Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information.
CoRR
Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
2022 J jnl
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives.
Appl. Soft Comput.
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2021 J jnl
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives.
CoRR
Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2020 J jnl
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain.
Symmetry
Sara Cornejo-Bueno, David Casillas-Pérez, Laura Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2020 J jnl
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl.
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
2019 J jnl
A mixture of experts model for predicting persistent weather patterns.
CoRR
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2018 B conf
A mixture of experts model for predicting persistent weather patterns.
IJCNN
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2018 J jnl
Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania.
Remote. Sens.
Diego Gómez, Pablo Salvador, Julia Sanz, Carlos Casanova-Mateo, Jose Luis Casanova
2018 J jnl
Efficient fog prediction with multi-objective evolutionary neural networks.
Appl. Soft Comput.
Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez
2018 J jnl
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.
Eng. Appl. Artif. Intell.
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
2018 — conf
Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation.
IDEAL (2)
Laura Cornejo-Bueno, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz
2016 B conf
Feature selection in solar radiation prediction using bootstrapped SVRs.
CEC
Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2015 J jnl
Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications.
Neurocomputing
Enrique Alexandre, Lucas Cuadra, Sancho Salcedo-Sanz, Á. Pastor-Sánchez, Carlos Casanova-Mateo
2015 J jnl
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.
Miren Nekane Bilbao, Javier Del Ser, Sancho Salcedo-Sanz, Carlos Casanova-Mateo
2014 J jnl
Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes.
IEEE Geosci. Remote. Sens. Lett.
Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Jordi Muñoz-Marí, Gustavo Camps-Valls
2014 J jnl
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier.
Eng. Appl. Artif. Intell.
Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, César Hervás-Martínez
2013 C conf
Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables.
IDEAL
Sancho Salcedo-Sanz, Carlos Casanova-Mateo, Á. Pastor-Sánchez, D. Gallo-Marazuela, Antonio Labajo-Salazar, Antonio Portilla-Figueras