Carlos Casanova-Mateo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Solar Radiation

Extreme Learning Machines

Evolutionary Neural Networks

Acoustic Features

Top Venues

Knowl. Based Syst.

Eng. Appl. Artif. Intell.

Publications

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 (2024)
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 (2024)
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 (2023)
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 (2023)
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 (2022)
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 (2021)
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) (2020)
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) (2020)
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 (2019)
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 (2018)
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)
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 (2018)
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) (2018)
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)
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)
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) (2015)
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 (2015)
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) (2014)
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 (2014)
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)