| Helpful, misleading or confusing: How humans perceive fundamental building blocks of artificial intelligence explanations E Small, Y Xuan, D Hettiachchi, K Sokol arXiv preprint arXiv:2303.00934, 2023 | 6 | 2023 |
| How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E Small, W Shao, Z Zhang, P Liu, J Chan, K Sokol, F Salim arXiv preprint arXiv:2207.04581, 2022 | 4 | 2022 |
| Equalised odds is not equal individual odds: Post-processing for group and individual fairness E Small, K Sokol, D Manning, FD Salim, J Chan The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1559-1578, 2024 | 3 | 2024 |
| Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations? Y Xuan, E Small, K Sokol, D Hettiachchi, M Sanderson arXiv preprint arXiv:2309.08438, 2023 | 3 | 2023 |
| Navigating Explanatory Multiverse Through Counterfactual Path Geometry K Sokol, E Small, Y Xuan arXiv preprint arXiv:2306.02786, 2023 | 3 | 2023 |
| TraCE: Trajectory Counterfactual Explanation Scores JN Clark, EA Small, N Keshtmand, MWL Wan, EF Mayoral, E Werner, ... Northern Lights Deep Learning Conference, 36-45, 2024 | 1 | 2024 |
| Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse EA Small, JN Clark, CJ McWilliams, K Sokol, J Chan, FD Salim, ... arXiv preprint arXiv:2309.04211, 2023 | 1 | 2023 |
| An analysis of physics-informed neural networks E Small arXiv preprint arXiv:2303.02890, 2023 | 1 | 2023 |
| Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations Y Xuan, E Small, K Sokol, D Hettiachchi, M Sanderson International Journal of Human-Computer Studies 193, 103376, 2025 | | 2025 |
| Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways MWL Wan, JN Clark, EA Small, EF Mayoral, R Santos-Rodríguez arXiv preprint arXiv:2312.04416, 2023 | | 2023 |
Kacper SokolETH ZürichEmail verificata su inf.ethz.ch