Mark Sanderson

Publications
Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2026). Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering. Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
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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..
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Diverse Negative Sampling for Implicit Collaborative Filtering. CoRR.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. IEEE Swiss Conference on Data Science, SDS 2025, Zürich, Switzerland, June 26-27, 2025.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. CoRR.
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2025). Perfect counterfactuals in imperfect worlds: modelling noisy implementation of actions in sequential algorithmic recourse. Mach. Learn..
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Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan (2024). Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse. CoRR.
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Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson (2023). Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?. CoRR.
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Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson (2023). More Is Less: When Do Recommenders Underperform for Data-rich Users?. CoRR.
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