| bLIMEy: surrogate prediction explanations beyond LIME K Sokol, A Hepburn, R Santos-Rodriguez, P Flach arXiv preprint arXiv:1910.13016, 2019 | 44 | 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 | 29 | 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 | 27 | 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 | 20 | 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 | 10 | 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 | 7 | 2017 |
| Explainable hierarchical clustering for patient subtyping and risk prediction E Werner, JN Clark, A Hepburn, RS Bhamber, M Ambler, CP Bourdeaux, ... Experimental Biology and Medicine 248 (24), 2547-2559, 2023 | 6 | 2023 |
| 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 | 6 | 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 | 6 | 2020 |
| Identification, explanation and clinical evaluation of hospital patient subtypes E Werner, JN Clark, RS Bhamber, M Ambler, CP Bourdeaux, A Hepburn, ... International Workshop on Health Intelligence, 137-149, 2023 | 5 | 2023 |
| 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 | 3 | 2023 |
| Surrogate Prediction Explanations Beyond LIME K Sokol, R Santos-rodriguez, A Hepburn, P Flach no. HCML, 2019 | 3 | 2019 |
| 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 | 2 | 2022 |
| 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 |
| Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data T Namgyal, A Hepburn, R Santos-Rodriguez, V Laparra, J Malo arXiv preprint arXiv:2312.03455, 2023 | 1 | 2023 |
| Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers M Clifford, J Erskine, A Hepburn, P Flach, R Santos-Rodríguez Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| 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 |
| Iqm-Vis: A User-Centric Python Toolbox for Visualising and Evaluating Image Quality Metrics M Clifford, A Hepburn, R Kleinlein, J Vila-Tomás, P Hernández-Cámara, ... Available at SSRN 5093957, 2025 | | 2025 |
| The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification T Namgyal, A Hepburn, R Santos-Rodriguez, V Laparra, J Malo arXiv preprint arXiv:2409.17069, 2024 | | 2024 |
| Learning Confidence Bounds for Classification with Imbalanced Data M Clifford, J Erskine, A Hepburn, R Santos-Rodríguez, D Garcia-Garcia ECAI 2024, 2024 | | 2024 |
Raúl Santos-RodríguezUniversity of BristolVerified email at bristol.ac.uk
