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Perez Aracil, Jorge jorge.perez.aracil@upm.es

SISTEMAS INFORMÁTICOS / Universidad Politécnica de Madrid

Actividades

Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms

  • Marina, C.M.
  • Pérez-Aracil, J.
  • Lorente-Ramos, E.
  • Casanova-Mateo, C.
  • Salcedo-Sanz, S.

Advanced Engineering Informatics - 1/5/2025

Editor: Elsevier Ltd

10.1016/j.aei.2025.103171 Ver en origen

  • ISSN 14740346
  • ISSN/ISBN 1474-0346

Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting

  • Abad-Santjago, Á.
  • Peláez-Rodríguez, C.
  • Pérez-Aracil, J.
  • Sanz-Justo, J.
  • Casanova-Mateo, C.
  • Salcedo-Sanz, S.

Expert Systems - 1/2/2025

Editor: John Wiley and Sons Inc

10.1111/exsy.13830 Ver en origen

  • ISSN 14680394
  • ISSN/ISBN 1468-0394

Learning for Visible Light Communications: Potential Scenarios and Applications

  • Morales Cespedes, Maximo
  • Pérez Aracil, Jorge
  • Garcia Armada, Ana
  • Salcedo Sanz, Sancho

Ieee Consumer Electronics Magazine - 1/1/2025

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/mce.2025.3525584 Ver en origen

  • EISSN 2162-2256
  • ISSN 21622256
  • ISSN/ISBN 2162-2256

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

  • Peláez-Rodríguez, C.
  • Pérez-Aracil, J.
  • Marina, C.M.
  • Prieto-Godino, L.
  • Casanova-Mateo, C.
  • Gutiérrez, P.A.
  • Salcedo-Sanz, S.
... Ver más Contraer

Knowledge-Based Systems - 12/5/2024

Editor: Elsevier B.V.

10.1016/j.knosys.2024.111556 Ver en origen

  • ISSN 09507051
  • ISSN/ISBN 0950-7051

Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information

  • Liz-López, H.
  • Huertas-Tato, J.
  • Pérez-Aracil, J.
  • Casanova-Mateo, C.
  • Sanz-Justo, J.
  • Camacho, D.

Knowledge-Based Systems - 11/1/2024

Editor: Elsevier B.V.

10.1016/j.knosys.2023.111198 Ver en origen

  • ISSN 09507051
  • ISSN/ISBN 0950-7051

Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented]

  • Peláez-Rodríguez, C.
  • Pérez-Aracil, J.
  • Fister, D.
  • Torres-López, R.
  • Salcedo-Sanz, S.

Expert Systems With Applications - 1/1/2024

Editor: Elsevier Ltd

10.1016/j.eswa.2023.122264 Ver en origen

  • ISSN 09574174
  • ISSN/ISBN 0957-4174

Improving the prediction of extreme wind speed events with generative data augmentation techniques

  • Vega-Bayo, M.
  • Pérez-Aracil, J.
  • Prieto-Godino, L.
  • Salcedo-Sanz, S.

Renewable Energy - 1/1/2024

Editor: Elsevier Ltd

10.1016/j.renene.2023.119769 Ver en origen

  • ISSN 09601481
  • ISSN/ISBN 1879-0682

Evolving interpretable decision trees for reinforcement learning

  • Costa, V.G.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.
  • Pedreira, C.E.

Artificial Intelligence - 1/1/2024

Editor: Elsevier B.V.

10.1016/j.artint.2023.104057 Ver en origen

  • ISSN 00043702
  • ISSN/ISBN 0004-3702

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

  • Peláez-Rodríguez, C.
  • Torres-López, R.
  • Pérez-Aracil, J.
  • López-Laguna, N.
  • Sánchez-Rodríguez, S.
  • Salcedo-Sanz, S.

Computer Methods And Programs In Biomedicine - 1/1/2024

Editor: Elsevier Ireland Ltd

10.1016/j.cmpb.2024.108033 Ver en origen

  • ISSN 01692607
  • ISSN/ISBN 1872-7565

Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

  • Peláez-Rodríguez, C.
  • Pérez-Aracil, J.
  • Gómez-Orellana, A.M.
  • Guijo-Rubio, D.
  • Vargas, V.M.
  • Gutiérrez, P.A.
  • Hervás-Martínez, C.
  • Salcedo-Sanz, S.
... Ver más Contraer

Applied Ocean Research - 1/1/2024

Editor: Elsevier Ltd

10.1016/j.apor.2024.104273 Ver en origen

  • ISSN 01411187
  • ISSN/ISBN 0141-1187

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm

  • Gómez-Orellana, A.M.
  • Vargas, V.M.
  • Guijo-Rubio, D.
  • Pérez-Aracil, J.
  • Gutiérrez, P.A.
  • Salcedo-Sanz, S.
  • Hervás-Martínez, C.
... Ver más Contraer

Lecture Notes In Computer Science (p. 293-302) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_27 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Autoencoder Framework for General Forecasting

  • Fister, D.
  • Peláez-Rodríguez, C.
  • Cornejo-Bueno, L.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.

Lecture Notes In Computer Science (p. 314-322) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_29 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

  • Gómez-Orellana, A.M.
  • Vargas, V.M.
  • Gutiérrez, P.A.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.
  • Hervás-Martínez, C.
  • Guijo-Rubio, D.
... Ver más Contraer

Lecture Notes In Computer Science (p. 283-292) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_26 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Data Augmentation Techniques for Extreme Wind Prediction Improvement

  • Vega-Bayo, M.
  • Gómez-Orellana, A.M.
  • Yun, V.M.V.
  • Guijo-Rubio, D.
  • Cornejo-Bueno, L.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.
... Ver más Contraer

Lecture Notes In Computer Science (p. 303-313) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_28 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model

  • Peláez-Rodríguez, C.
  • Cornejo-Bueno, L.
  • Fister, D.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.

Lecture Notes In Computer Science (p. 323-332) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_30 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures

  • LLamosas-Mayca WH
  • Lorente-Ramos E
  • Pérez-Aracil J
  • Hernández-Díaz AM
  • García-Román MD
  • Salcedo-Sanz S

Lecture Notes In Computer Science (p. 333-344) - 1/1/2024

10.1007/978-3-031-61137-7_31 Ver en origen

  • ISSN 03029743

Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction

  • Marina, C.M.
  • Lorente-Ramos, E.
  • Ayllón-Gavilán, R.
  • Gutiérrez, P.A.
  • Pérez-Aracil, J.
  • Salcedo-Sanz, S.

Lecture Notes In Computer Science (p. 223-232) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-62799-6_23 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions

  • Leite, G.M.C.
  • Pérez-Aracil, J.
  • Marcelino, C.G.
  • García-Gutiérrez, G.
  • Prodanovic, M.
  • García-Quismondo, E.
  • Pinilla, S.
  • Palma, J.
  • Jiménez-Fernández, S.
  • Salcedo-Sanz, S.
... Ver más Contraer

Lecture Notes In Computer Science (p. 275-282) - 1/1/2024

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-61137-7_25 Ver en origen

  • ISSN 03029743
  • ISSN/ISBN 1611-3349

Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm

  • Marcelino, C.G.
  • Wanner, E.F.
  • Martins, F.V.C.
  • Perez-Aracil, J.
  • Jimenez-Fernandez, S.
  • Salcedo-Sanz, S.

2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings - 1/1/2022

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/cec55065.2022.9870385 Ver en origen

  • ISSN/ISBN 9781665467087

The application of artificial neural networks and regresssors in optimal vibration control design

  • Carlos Camacho-Gómez, Jorge Pérez-Aracil, José Manuel Soria, David Camacho and Sancho Salcedo-Sanz

6th International Congress On Mechanical Models In Structural Engineering (Cmmost 2021) - 1/12/2021

  • iMarina

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 10/11/25 16:35