Carlos Casanova-Mateo

22 papers B 2C 1Journal 18Unranked 1

Year	Rank	Type	Title / 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