Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques. - Dusan Fister; Jorge Pérez-Aracil; César Peláez-Rodríguez; Javier Del Ser; Sancho Salcedo-Sanz (CoRR, 2022)

Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques. - Dusan Fister; Jorge Pérez-Aracil; César Peláez-Rodríguez; Javier Del Ser; Sancho Salcedo-Sanz (Appl. Soft Comput., 2023)

Deep learning ensembles for accurate fog-related low-visibility events forecasting. - César Peláez-Rodríguez; Jorge Pérez-Aracil; A. de Lopez-Diz; Carlos Casanova-Mateo; Dusan Fister; Silvia Jiménez-Fernández; Sancho Salcedo-Sanz (Neurocomputing, 2023)

Autoencoder Framework for General Forecasting. - Dusan Fister; César Peláez-Rodríguez; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model. - César Peláez-Rodríguez; Laura Cornejo-Bueno; Dusan Fister; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression. - César Peláez-Rodríguez; Ricardo Torres-Lopez; Jorge Pérez-Aracil; Nieves López-Laguna; S. Sánchez-Rodríguez; Sancho Salcedo-Sanz (Comput. Methods Programs Biomed., 2024)

Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection. - Jorge Pérez-Aracil; César Peláez-Rodríguez; Ronan McAdam; Antonello Squintu; Cosmin M. Marina; Eugenio Lorente-Ramos; Niklas Luther; Veronica Torralba; Enrico Scoccimarro; Leone Cavicchia; Matteo Giuliani; Eduardo Zorita; et al. (CoRR, 2024)

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic. - César Peláez-Rodríguez; Jorge Pérez-Aracil; Cosmin Madalin Marina; Luis Prieto-Godino; Carlos Casanova-Mateo; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz (Knowl. Based Syst., 2024)

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches. - César Peláez-Rodríguez; Jorge Pérez-Aracil; Dusan Fister; Ricardo Torres-Lopez; Sancho Salcedo-Sanz (Expert Syst. Appl., 2024)

Generating vertical ground reaction forces using a stochastic data-driven model for pedestrian walking. - Álvaro Magdaleno; José María García-Terán; César Peláez-Rodríguez; Guillermo Fernández Ordóñez; Antolín Lorenzana (J. Comput. Sci., 2025)

Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting. - Álvaro Abad-Santjago; César Peláez-Rodríguez; Jorge Pérez-Aracil; Julia Sanz-Justo; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (Expert Syst. J. Knowl. Eng., 2025)