Ángela Fernández

27 papers B 5C 1Misc 5Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparative analysis of kernel approximation methods and their ensemble architectures.
Neurocomputing
Blanca Cano-Camarero, Ángela Fernández, José R. Dorronsoro
2025 — conf
Analysis of Kernel Thinning for Scalable Support Vector Machines.
HAIS (1)
Blanca Cano, Ángela Fernández, José R. Dorronsoro
2025 J jnl
Deep Diffusion Maps.
CoRR
Sergio García-Heredia, Ángela Fernández, Carlos M. Alaíz
2025 J jnl
Graph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control.
CoRR
Eloy Anguiano Batanero, Ángela Fernández, Álvaro Barbero Jiménez
2024 J jnl
Functional diffusion maps.
Stat. Comput.
María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández
2023 J jnl
Multiscale extensions for enhancing coarse grid computations.
J. Comput. Appl. Math.
Neta Rabin, Ángela Fernández, Dalia Fishelov
2022 Misc conf
Companion Losses for Ordinal Regression.
HAIS
David Díaz-Vico, Ángela Fernández, José R. Dorronsoro
2022 B conf
Improving Laplacian Pyramids Regression with Localization in Frequency and Time.
ESANN
Neta Rabin, Ben Hen, Ángela Fernández
2022 J jnl
Supervised outlier detection for classification and regression.
Neurocomputing
Ángela Fernández, Juan Bella, José R. Dorronsoro
2021 Misc conf
Companion Losses for Deep Neural Networks.
HAIS
David Díaz-Vico, Ángela Fernández, José R. Dorronsoro
2021 Misc conf
Super Local Models for Wind Power Detection.
HAIS
María Barroso, Ángela Fernández
2020 J jnl
Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data.
Eng. Appl. Artif. Intell.
Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
2020 Misc conf
Supervised Hyperparameter Estimation for Anomaly Detection.
HAIS
Juan Bella, Ángela Fernández, José R. Dorronsoro
2020 B conf
Visualization of the Feature Space of Neural Networks.
ESANN
Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
2019 B conf
Deep Diffusion Autoencoders.
IJCNN
Sara Dorado, Ángela Fernández, José R. Dorronsoro
2016 B conf
Auto-adaptive Laplacian Pyramids.
ESANN
Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
2016 J jnl
Hybrid machine learning forecasting of solar radiation values.
Neurocomputing
Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
2016 J jnl
Magnetic Eigenmaps for Visualization of Directed Networks.
CoRR
Michaël Fanuel, Ángela Fernández, Carlos M. Alaíz, Johan A. K. Suykens
2015 J jnl
Diffusion Maps for dimensionality reduction and visualization of meteorological data.
Neurocomputing
Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro
2015 B conf
Diffusion Maps parameters selection based on neighbourhood preservation.
ESANN
Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
2014 J jnl
Diffusion methods for aligning medical datasets: Location prediction in CT scan images.
Medical Image Anal.
Ángela Fernández, Neta Rabin, Ronald R. Coifman, Joseph Eckstein
2014 C conf
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps.
IDEAL
Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro
2014 — conf
Machine Learning Prediction of Large Area Photovoltaic Energy Production.
DARE
Ángela Fernández, Yvonne Gala, José R. Dorronsoro
2013 J jnl
Auto-adaptative Laplacian Pyramids for high-dimensional data analysis.
CoRR
Ángela Fernández, Neta Rabin, José R. Dorronsoro
2013 — conf
Diffusion Methods for Wind Power Ramp Detection.
IWANN (1)
Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro
2013 Misc conf
Support Vector Forecasting of Solar Radiation Values.
HAIS
Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
2012 — conf
Diffusion Maps for the Description of Meteorological Data.
HAIS (1)
Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro