| 2026 | ESANN | Kernel Thinning for faster KSVM hyper-parametrization. | Blanca Cano-Camarero, ngela Fernndez, Jos R. Dorronsoro |
| 2025 | HAIS | Analysis of Kernel Thinning for Scalable Support Vector Machines. | Blanca Cano, ngela Fernndez, Jos R. Dorronsoro |
| 2022 | ESANN | Improving Laplacian Pyramids Regression with Localization in Frequency and Time. | Neta Rabin, Ben Hen, ngela Fernndez |
| 2022 | HAIS | Companion Losses for Ordinal Regression. | David Daz-Vico, ngela Fernndez, Jos R. Dorronsoro |
| 2021 | HAIS | Super Local Models for Wind Power Detection. | Mara Barroso, ngela Fernndez |
| 2021 | HAIS | Companion Losses for Deep Neural Networks. | David Daz-Vico, ngela Fernndez, Jos R. Dorronsoro |
| 2020 | ESANN | Visualization of the Feature Space of Neural Networks. | Carlos M. Alaz, ngela Fernndez, Jos R. Dorronsoro |
| 2020 | HAIS | Supervised Hyperparameter Estimation for Anomaly Detection. | Juan Bella, ngela Fernndez, Jos R. Dorronsoro |
| 2019 | IJCNN | Deep Diffusion Autoencoders. | Sara Dorado, ngela Fernndez, Jos R. Dorronsoro |
| 2016 | ESANN | Auto-adaptive Laplacian Pyramids. | ngela Fernndez, Neta Rabin, Dalia Fishelov, Jos R. Dorronsoro |
| 2015 | ESANN | Diffusion Maps parameters selection based on neighbourhood preservation. | Carlos M. Alaz, ngela Fernndez, Jos R. Dorronsoro |
| 2014 | IDEAL | Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. | Carlos M. Alaz, ngela Fernndez, Yvonne Gala, Jos R. Dorronsoro |
| 2013 | HAIS | Support Vector Forecasting of Solar Radiation Values. | Yvonne Gala, ngela Fernndez, Julia Daz Garca, Jos R. Dorronsoro |
| 2013 | IWANN | Diffusion Methods for Wind Power Ramp Detection. | ngela Fernndez, Carlos M. Alaz, Ana M. Gonzlez, Julia Daz Garca, Jos R. Dorronsoro |
| 2012 | HAIS | Diffusion Maps for the Description of Meteorological Data. | ngela Fernndez, Ana M. Gonzlez, Julia Daz Garca, Jos R. Dorronsoro |