| bLIMEy: surrogate prediction explanations beyond LIME K Sokol, A Hepburn, R Santos-Rodriguez, P Flach arXiv preprint arXiv:1910.13016, 2019 | 28 | 2019 |
| FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems K Sokol, A Hepburn, R Poyiadzi, M Clifford, R Santos-Rodriguez, P Flach Journal of Open Source Software 5, 1904, 2020 | 24 | 2020 |
| PerceptNet: a human visual system inspired neural net for estimating perceptual distance A Hepburn, V Laparra, J Malo, R McConville, R Santos IEEE International Conference on Image Processing (ICIP) 2020, 121-125, 2020 | 15 | 2020 |
| On the relation between statistical learning and perceptual distances A Hepburn, V Laparra, R Santos-Rodriguez, J Ballé, J Malo 10th International Conference on Learning Representations, ICLR 2022, 2022 | 6 | 2022 |
| Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance A Hepburn, V Laparra, R McConville, R Santos-Rodriguez Proceedings of the Northern Lights Deep Learning Workshop 1, 6--6, 2020 | 6 | 2020 |
| Album cover generation from genre tags A Hepburn, McConville, Ryan, R Santos-Rodriguez Proceedings of 10th International Workshop on Machine Learning and Music, 25-31, 2017 | 5 | 2017 |
| Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception A Hepburn, R Santos-Rodriguez IEEE International Conference on Image Processing (ICIP) 2021, 3717-3721, 2021 | 4 | 2021 |
| What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components K Sokol, A Hepburn, R Santos-Rodriguez, P Flach https://zenodo.org/record/4035128, 2020 | 4 | 2020 |
| Surrogate Prediction Explanations Beyond LIME K Sokol, R Santos-rodriguez, A Hepburn, P Flach no. HCML, 2019 | 3 | 2019 |
| Proper losses for learning with example-dependent costs A Hepburn, R McConville, R Santos-Rodríguezo, J Cid-Sueiro, ... Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018 | 2 | 2018 |
| Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers R Kleinlein, A Hepburn, R Santos-Rodríguez, F Fernández-Martínez 33rd British Machine Vision Conference 2022, 2022 | 1 | 2022 |
| Orthonormal Convolutions for the Rotation Based Iterative Gaussianization V Laparra, A Hepburn, JE Johnson, J Malo IEEE International Conference on Image Processing (ICIP) 2022, 4018-4022, 2022 | 1 | 2022 |
| What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics T Namgyal, A Hepburn, R Santos-Rodriguez, V Laparra, J Malo arXiv preprint arXiv:2305.11582, 2023 | | 2023 |
| Disentangling the Link Between Image Statistics and Human Perception A Hepburn, V Laparra, R Santos-Rodriguez, J Malo arXiv preprint arXiv:2303.09874, 2023 | | 2023 |
| Identification, explanation and clinical evaluation of hospital patient subtypes E Werner, JN Clark, RS Bhamber, M Ambler, CP Bourdeaux, A Hepburn, ... arXiv preprint arXiv:2301.08019, 2023 | | 2023 |
| On the connection between the human visual system and machine learning: exploiting perceptual distances in neural networks A Hepburn University of Bristol, 2022 | | 2022 |
Raúl Santos-RodríguezUniversity of BristolVerified email at bristol.ac.uk
