Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains. - Tim Matthews; Sarvapali D. Ramchurn; Georgios Chalkiadakis (AAAI, 2012)

Enriching Texture Analysis with Semantic Data. - Tim Matthews; Mark S. Nixon; Mahesan Niranjan (CVPR, 2013)

Semantics of texture. - Tim Matthews (2016)

What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data. - Charbel Merhej; Ryan J. Beal; Tim Matthews; Sarvapali D. Ramchurn (KDD, 2021)

Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage. - Matthew Wear; Ryan Beal; Tim Matthews; Timothy J. Norman; Sarvapali D. Ramchurn (CoRR, 2022)

Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. - Gregory Everett; Ryan J. Beal; Tim Matthews; Joseph Early; Timothy J. Norman; Sarvapali D. Ramchurn (AAMAS, 2023)

The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer. - Gregory Everett; Ryan Beal; Tim Matthews; Timothy J. Norman; Sarvapali D. Ramchurn (CoRR, 2024)

Optimising Spatial Teamwork Under Uncertainty. - Gregory Everett; Ryan J. Beal; Tim Matthews; Timothy J. Norman; Sarvapali D. Ramchurn (AAAI, 2025)