Jorge Pérez-Aracil

36 papers B 1Journal 27Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accurate calibration of hydrological models with evolutionary computation multi-method ensembles.
Environ. Model. Softw.
Eugenio Lorente-Ramos, Francisco Gomariz-Castillo, Francisco Pellicer-Martínez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2025 J jnl
An improved machine learning strategy for shear analysis in structural concrete based on the Newton's method and the solvability region of the steel constitutive model.
J. Comput. Phys.
Eugenio Lorente-Ramos, Alejandro M. Hernández-Díaz, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
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
2025 J jnl
Learning for Visible Light Communications: Potential Scenarios and Applications.
IEEE Consumer Electron. Mag.
Máximo Morales Céspedes, Jorge Pérez-Aracil, Ana García Armada, Sancho Salcedo-Sanz
2025 J jnl
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning.
Integr. Comput. Aided Eng.
Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez
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
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges.
CoRR
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
2024 J jnl
An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression.
Comput. Methods Programs Biomed.
César Peláez-Rodríguez, Ricardo Torres-Lopez, Jorge Pérez-Aracil, Nieves López-Laguna, S. Sánchez-Rodríguez, Sancho Salcedo-Sanz
2024 — conf
Autoencoder Framework for General Forecasting.
IWINAC (2)
Dusan Fister, César Peláez-Rodríguez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2024 J jnl
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches.
Expert Syst. Appl.
César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz
2024 — conf
Data Augmentation Techniques for Extreme Wind Prediction Improvement.
IWINAC (2)
Marta Vega-Bayo, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas Yun, David Guijo-Rubio, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2024 — conf
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
2024 J jnl
Evolving interpretable decision trees for reinforcement learning.
Artif. Intell.
Vinícius G. Costa, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira
2024 J jnl
Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection.
CoRR
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, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, Sancho Salcedo-Sanz
2024 — conf
Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions.
IWINAC (2)
Gabriel M. C. Leite, Jorge Pérez-Aracil, Carolina Gil Marcelino, Gabriel García-Gutiérrez, Milan Prodanovic, Enrique García-Quismondo, Sergio Pinilla, Jesús Palma, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2024 — conf
Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures.
IWINAC (2)
Waldemar Hugo LLamosas-Mayca, Eugenio Lorente-Ramos, Jorge Pérez-Aracil, Alejandro M. Hernández-Díaz, Manuel D. García-Román, Sancho Salcedo-Sanz
2024 — conf
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2024 — conf
Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction.
CAEPIA
Cosmin Madalin Marina, Eugenio Lorente-Ramos, Rafael Ayllón-Gavilán, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2024 — conf
Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model.
IWINAC (2)
César Peláez-Rodríguez, Laura Cornejo-Bueno, Dusan Fister, Jorge Pérez-Aracil, 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
2024 J jnl
TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization.
Expert Syst. J. Knowl. Eng.
Alberto Palomo-Alonso, Vinícius G. Costa, Luis M. Moreno-Saavedra, Eugenio Lorente-Ramos, Jorge Pérez-Aracil, Carlos Eduardo Pedreira, Sancho Salcedo-Sanz
2023 J jnl
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.
Appl. Soft Comput.
Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz
2023 J jnl
Cross-entropy boosted CRO-SL for optimal power flow in smart grids.
Soft Comput.
Carolina Gil Marcelino, Jorge Pérez-Aracil, Elizabeth F. Wanner, Silvia Jiménez-Fernández, Gabriel Matos Cardoso Leite, Sancho Salcedo-Sanz
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
Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms.
Expert Syst. Appl.
Jorge Pérez-Aracil, Alejandro Mateo Hernández-Díaz, Cosmin Madalin Marina, 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
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.
CoRR
Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Javier Del Ser, Sancho Salcedo-Sanz
2022 J jnl
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.
CoRR
Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso, Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dusan Fister, David Barriopedro, Ricardo García-Herrera, Marcello Restelli, Matteo Giuliani, Andrea Castelletti
2022 J jnl
Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories.
Appl. Soft Comput.
Alejandro M. Hernández-Díaz, Jorge Pérez-Aracil, David Casillas-Perez, Emiliano Pereira, Sancho Salcedo-Sanz
2022 J jnl
New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL.
CoRR
Jorge Pérez-Aracil, Carlos Camacho-Gómez, Eugenio Lorente-Ramos, Cosmin Madalin Marina, Sancho Salcedo-Sanz
2022 J jnl
Optimal vibration isolation and alignment over non-rigid bases with the CRO-SL ensemble.
Eng. Appl. Artif. Intell.
Jorge Pérez-Aracil, Carlos Camacho-Gómez, Paul Reynolds, Emiliano Pereira, Sancho Salcedo-Sanz
2022 B conf
Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm.
CEC
Carolina Gil Marcelino, Elizabeth F. Wanner, Flávio V. C. Martins, Jorge Pérez-Aracil, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2021 J jnl
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches.
Swarm Evol. Comput.
Jorge Pérez-Aracil, Carlos Camacho-Gómez, Alejandro Mateo Hernández-Díaz, Emiliano Pereira, David Camacho, Sancho Salcedo-Sanz
2020 J jnl
Submerged Arches Optimal Design With a Multi-Method Ensemble Meta-Heuristic Approach.
IEEE Access
Jorge Pérez-Aracil, Carlos Camacho-Gómez, Alejandro M. Hernández-Díaz, Emiliano Pereira, Sancho Salcedo-Sanz
2018 J jnl
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.
Appl. Soft Comput.
Alejandro M. Hernández-Díaz, Andrés Bueno-Crespo, Jorge Pérez-Aracil, José M. Cecilia