Sancho
Salcedo Sanz
Catedrático/a de Universidad
Jorge
Pérez Aracil
Profesor/a Ayudante Doctor/a
Publicacións nas que colabora con Jorge Pérez Aracil (41)
2024
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A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
Knowledge-Based Systems, Vol. 291
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An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression
Computer Methods and Programs in Biomedicine, Vol. 245
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An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker
Heliyon, Vol. 10, Núm. 12
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Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44
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Autoencoder Framework for General Forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented]
Expert Systems with Applications, Vol. 238
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Data Augmentation Techniques for Extreme Wind Prediction Improvement
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Energy Flux Prediction Using an Ordinal Soft Labelling Strategy
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evolving interpretable decision trees for reinforcement learning
Artificial Intelligence, Vol. 327
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Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events
Applied Ocean Research, Vol. 153
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Improving the prediction of extreme wind speed events with generative data augmentation techniques
Renewable Energy, Vol. 221
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Interpretable extreme wind speed prediction with concept bottleneck models
Renewable Energy, Vol. 231
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Long-term temperature prediction with hybrid autoencoder algorithms
Applied Computing and Geosciences, Vol. 23
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Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures
Lecture Notes in Computer Science. . International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024 (10th. 2024. Portugal)
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Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams
Results in Engineering, Vol. 22
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Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization
Expert Systems