Edward Small

Publications

Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson (2025). Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations. Int. J. Hum. Comput. Stud..

Kacper Sokol, Edward Small, Yueqing Xuan (2025). Navigating explanatory multiverse through counterfactual path geometry. Mach. Learn..

Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan (2024). Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024.

Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson (2023). Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?. CoRR.

Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol (2023). Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations. CoRR.

Kacper Sokol, Edward Small, Yueqing Xuan (2023). Navigating Explanatory Multiverse Through Counterfactual Path Geometry. CoRR.

Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim (2022). How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. CoRR.