Ángela Fernández Pascual

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023

Multiscale extensions for enhancing coarse grid computations.

[BibT_eX]

[DOI]

Neta Rabin

Dalia Fishelov

J. Comput. Appl. Math., August, 2023

Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods.

[BibT_eX]

[DOI]

María Barroso

José M. Bossio

CoRR, 2023

RLBoost: Boosting Supervised Models using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Eloy Anguiano Batanero

Álvaro Barbero Jiménez

CoRR, 2023

2022

Supervised outlier detection for classification and regression.

[BibT_eX]

[DOI]

Juan Bella

Neurocomputing, 2022

Companion Losses for Ordinal Regression.

[BibT_eX]

[DOI]

David Díaz-Vico

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

Improving Laplacian Pyramids Regression with Localization in Frequency and Time.

[BibT_eX]

[DOI]

Neta Rabin

Ben Hen

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Companion Losses for Deep Neural Networks.

[BibT_eX]

[DOI]

David Díaz-Vico

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Super Local Models for Wind Power Detection.

[BibT_eX]

[DOI]

María Barroso

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020

Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Supervised Hyperparameter Estimation for Anomaly Detection.

[BibT_eX]

[DOI]

Juan Bella

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Visualization of the Feature Space of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Deep Diffusion Autoencoders.

[BibT_eX]

[DOI]

Sara Dorado

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

Hybrid machine learning forecasting of solar radiation values.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Magnetic Eigenmaps for Visualization of Directed Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Auto-adaptive Laplacian Pyramids.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Diffusion Maps for dimensionality reduction and visualization of meteorological data.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Diffusion Maps parameters selection based on neighbourhood preservation.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Diffusion methods for aligning medical datasets: Location prediction in CT scan images.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Machine Learning Prediction of Large Area Photovoltaic Energy Production.

[BibT_eX]

[DOI]

Yvonne Gala

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

2013

Auto-adaptative Laplacian Pyramids for high-dimensional data analysis.

[BibT_eX]

[DOI]

Neta Rabin

CoRR, 2013

Diffusion Methods for Wind Power Ramp Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

Support Vector Forecasting of Solar Radiation Values.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

2012

Diffusion Maps and Local Models for Wind Power Prediction.

[BibT_eX]

[DOI]

Ana Ma González Marcos

Julia Díaz García