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

SISTEMAS INFORMÁTICOS / Universidad Politécnica de Madrid

Actividades

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

  • Pelaez-Rodriguez, C
  • Perez-Aracil, J
  • Marina, C M
  • Prieto-Godino, L
  • Casanova-Mateo, C
  • Gutierrez, P A
  • Salcedo-Sanz, S
... Ver más Contraer

Knowledge-Based Systems - 12/5/2024

10.1016/j.knosys.2024.111556 Ver en origen

  • ISSN 09507051

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

10.1016/j.knosys.2023.111198

  • ISSN 09507051
  • iMarina

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

10.1016/j.eswa.2023.122264 Ver en origen

  • ISSN 09574174

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

10.1016/j.renene.2023.119769 Ver en origen

  • ISSN 09601481

Evolving interpretable decision trees for reinforcement learning

  • Costa VG
  • Pérez-Aracil J
  • Salcedo-Sanz S
  • Pedreira CE

Artificial Intelligence - 1/1/2024

10.1016/j.artint.2023.104057 Ver en origen

  • ISSN 00043702

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

10.1016/j.cmpb.2024.108033 Ver en origen

  • ISSN 01692607

Deep learning ensembles for accurate fog-related low-visibility events forecasting

  • Peláez-Rodríguez, C
  • Pérez-Aracil, J
  • de Lopez-Diz, A
  • Casanova-Mateo, C
  • Fister, D
  • Jiménez-Fernández, S
  • Salcedo-Sanz, S
... Ver más Contraer

Neurocomputing - 7/9/2023

Editor: Elsevier B.V.

10.1016/j.neucom.2023.126435 Ver en origen

  • ISSN 09252312
  • ISSN/ISBN 1872-8286

A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction

  • Peláez-Rodríguez, C
  • Pérez-Aracil, J
  • Prieto-Godino, L
  • Ghimire, S
  • Deo, RC
  • Salcedo-Sanz, S

Journal of Wind Engineering and Industrial Aerodynamics - 1/9/2023

Editor: Elsevier B.V.

10.1016/j.jweia.2023.105507 Ver en origen

  • ISSN 01676105
  • ISSN/ISBN 0167-6105

Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

  • Cornejo-Bueno, L
  • Pérez-Aracil, J
  • Casanova-Mateo, C
  • Sanz-Justo, J
  • Salcedo-Sanz, S

Applied Sciences (Switzerland) - 1/7/2023

Editor: Multidisciplinary Digital Publishing Institute (MDPI)

10.3390/app13148266 Ver en origen

  • ISSN 20763417
  • ISSN/ISBN 2076-3417

New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL

  • Pérez-Aracil, J
  • Camacho-Gómez, C
  • Lorente-Ramos, E
  • Marina, CM
  • Cornejo-Bueno, LM
  • Salcedo-Sanz, S

Mathematics - 1/4/2023

Editor: MDPI

10.3390/math11071666 Ver en origen

  • ISSN 22277390
  • ISSN/ISBN 2227-7390

Este/a investigador/a no tiene libros.

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

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

  • Marcelino CG
  • Wanner EF
  • Martins FVC
  • 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

Study on the isolator-structure interaction. influence on the supporting structure

  • Pérez-Aracil J
  • Pereira E
  • Díaz IM
  • Reynolds P

Lecture Notes In Electrical Engineering (p. 394-403) - 1/1/2021

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-030-58653-9_38 Ver en origen

  • ISBN 978-3-030-58653-9
  • ISSN 18761100
  • ISSN/ISBN 1876-1119

Fatigue assessment of a slender footbridge based on an updated finite element model

  • Pérez-Aracil J
  • Hernandez-Díaz AM
  • Jiménez-Alonso JF
  • Puerta-Lopez FJ

Key Engineering Materials (p. 589-594) - 1/1/2018

10.4028/www.scientific.net/kem.774.589 Ver en origen

  • ISSN 10139826

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: 2/08/24 1:17