| 2025 | ESANN | Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations. | Dan Kumpik, Yoav Ben-Shlomo, Elizabeth Coulthard, Alexander Hepburn, Ral Santos-Rodrguez |
| 2024 | ECAI | Learning Confidence Bounds for Classification with Imbalanced Data. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Ral Santos-Rodrguez, Dario Garca-Garca |
| 2024 | IJCAI | An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. | Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Ral Santos-Rodrguez |
| 2023 | CIKM | Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. | Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Ral Santos-Rodrguez |
| 2022 | BMVC | Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. | Ricardo Kleinlein, Alexander Hepburn, Ral Santos-Rodrguez, Fernando Fernndez Martnez |
| 2022 | ICIP | Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. | Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jess Malo |
| 2022 | ICLR | On the relation between statistical learning and perceptual distances. | Alexander Hepburn, Valero Laparra, Ral Santos-Rodrguez, Johannes Ball, Jesus Malo |
| 2021 | ICIP | Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. | Alexander Hepburn, Ral Santos-Rodrguez |
| 2020 | ICIP | Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. | Alexander Hepburn, Valero Laparra, Jess Malo, Ryan McConville, Ral Santos-Rodrguez |