Diffusion Maps for the Description of Meteorological Data. - Ángela Fernández 001; Ana M. González; Julia Díaz García; José R. Dorronsoro (HAIS (1), 2012)

Diffusion Maps and Local Models for Wind Power Prediction. - Ángela Fernández Pascual; Carlos M. Alaíz; Ana Ma González Marcos; Julia Díaz García; José R. Dorronsoro (ICANN (2), 2012)

Support Vector Forecasting of Solar Radiation Values. - Yvonne Gala; Ángela Fernández 001; Julia Díaz García; José R. Dorronsoro (HAIS, 2013)

Diffusion Methods for Wind Power Ramp Detection. - Ángela Fernández 001; Carlos M. Alaíz; Ana M. González; Julia Díaz García; José R. Dorronsoro (IWANN (1), 2013)

Auto-adaptative Laplacian Pyramids for high-dimensional data analysis. - Ángela Fernández 001; Neta Rabin; José R. Dorronsoro (CoRR, 2013)

Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. - Carlos M. Alaíz; Ángela Fernández 001; Yvonne Gala; José R. Dorronsoro (IDEAL, 2014)

Machine Learning Prediction of Large Area Photovoltaic Energy Production. - Ángela Fernández 001; Yvonne Gala; José R. Dorronsoro (DARE, 2014)

Diffusion methods for aligning medical datasets: Location prediction in CT scan images. - Ángela Fernández 001; Neta Rabin; Ronald R. Coifman; Joseph Eckstein (Medical Image Anal., 2014)

Diffusion Maps parameters selection based on neighbourhood preservation. - Carlos M. Alaíz; Ángela Fernández 001; José R. Dorronsoro (ESANN, 2015)

Diffusion Maps for dimensionality reduction and visualization of meteorological data. - Ángela Fernández 001; Ana M. González; Julia Díaz García; José R. Dorronsoro (Neurocomputing, 2015)

Auto-adaptive Laplacian Pyramids. - Ángela Fernández 001; Neta Rabin; Dalia Fishelov; José R. Dorronsoro (ESANN, 2016)

Magnetic Eigenmaps for Visualization of Directed Networks. - Michaël Fanuel; Ángela Fernández 001; Carlos M. Alaíz; Johan A. K. Suykens (CoRR, 2016)

Hybrid machine learning forecasting of solar radiation values. - Yvonne Gala; Ángela Fernández 001; Julia Díaz García; José R. Dorronsoro (Neurocomputing, 2016)

Deep Diffusion Autoencoders. - Sara Dorado; Ángela Fernández 001; José R. Dorronsoro (IJCNN, 2019)

Visualization of the Feature Space of Neural Networks. - Carlos M. Alaíz; Ángela Fernández 001; José R. Dorronsoro (ESANN, 2020)

Supervised Hyperparameter Estimation for Anomaly Detection. - Juan Bella; Ángela Fernández 001; José R. Dorronsoro (HAIS, 2020)

Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data. - Ángela Fernández 001; Neta Rabin; Dalia Fishelov; José R. Dorronsoro (Eng. Appl. Artif. Intell., 2020)

Super Local Models for Wind Power Detection. - María Barroso; Ángela Fernández 001 (HAIS, 2021)

Companion Losses for Deep Neural Networks. - David Díaz-Vico; Ángela Fernández 001; José R. Dorronsoro (HAIS, 2021)

Improving Laplacian Pyramids Regression with Localization in Frequency and Time. - Neta Rabin; Ben Hen; Ángela Fernández 001 (ESANN, 2022)

Companion Losses for Ordinal Regression. - David Díaz-Vico; Ángela Fernández 001; José R. Dorronsoro (HAIS, 2022)

Supervised outlier detection for classification and regression. - Ángela Fernández 001; Juan Bella; José R. Dorronsoro (Neurocomputing, 2022)

Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. - María Barroso; José M. Bossio; Carlos M. Alaíz; Ángela Fernández Pascual (CoRR, 2023)

Multiscale extensions for enhancing coarse grid computations. - Neta Rabin; Ángela Fernández 001; Dalia Fishelov (J. Comput. Appl. Math., 2023)

Nyström and RFF Ensembles for Large-Scale Kernel Predictions. - Blanca Cano; Ángela Fernández Pascual; José R. Dorronsoro (HAIS (1), 2024)

Functional diffusion maps. - María Barroso; Carlos M. Alaíz; José L. Torrecilla; Ángela Fernández 001 (Stat. Comput., 2024)

RLBoost: Boosting supervised models using deep reinforcement learning. - Eloy Anguiano Batanero; Ángela Fernández Pascual; Álvaro Barbero Jiménez (Neurocomputing, 2025)

Graph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control. - Eloy Anguiano Batanero; Ángela Fernández 001; Álvaro Barbero Jiménez (CoRR, 2025)

Deep Diffusion Maps. - Sergio García-Heredia; Ángela Fernández 001; Carlos M. Alaíz (CoRR, 2025)