| 2024 | ECAI | Learning Confidence Bounds for Classification with Imbalanced Data. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Ral Santos-Rodrguez, Dario Garca-Garca |
| 2022 | RecSys | Adversary or Friend? An adversarial Approach to Improving Recommender Systems. | Pannaga Shivaswamy, Dario Garca-Garca |
| 2021 | DSAA | Conditional t-SNE: More informative t-SNE embeddings. | Bo Kang, Dario Garca-Garca, Jefrey Lijffijt, Ral Santos-Rodrguez, Tijl De Bie |
| 2017 | ICWSM | Cultural Diffusion and Trends in Facebook Photographs. | Quanzeng You, Dario Garca-Garca, Manohar Paluri, Jiebo Luo, Jungseock Joo |
| 2012 | ICML | Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. | Avraham Ruderman, Mark D. Reid, Dario Garca-Garca, James Petterson |
| 2012 | ICPRAM | Music Genre Classification based on Dynamical Models. | Alberto Garca-Durn, Jernimo Arenas-Garca, Dario Garca-Garca, Emilio Parrado-Hernndez |
| 2011 | ICASSP | Sphere packing for clustering sets of vectors in feature space. | Dario Garca-Garca, Ral Santos-Rodrguez |
| 2011 | ICML | Risk-Based Generalizations of f-divergences. | Dario Garca-Garca, Ulrike von Luxburg, Ral Santos-Rodrguez |
| 2010 | ICDM | Cost-Sensitive Feature Selection Based on the Set Covering Machine. | Ral Santos-Rodrguez, Dario Garca-Garca |
| 2009 | ICIP | A spatially aware generative model for image classification, topic discovery and segmentation. | Ivn Gonzlez-Daz, Dario Garca-Garca, Fernando Daz-de-Mara |
| 2009 | ICMLA | Sequence Segmentation via Clustering of Subsequences. | Dario Garca-Garca, Emilio Parrado-Hernndez, Fernando Daz-de-Mara |
| 2009 | ICMLA | Spectral Clustering and Feature Selection for Microarray Data. | Dario Garca-Garca, Ral Santos-Rodrguez |
| 2009 | ICMLA | Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. | Ral Santos-Rodrguez, Dario Garca-Garca, Jess Cid-Sueiro |