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2020 – today
- 2024
[i7]Gregory Everett, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn:
The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer. CoRR abs/2402.04898 (2024)- 2023
- [c7]Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn:
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. AAMAS 2023: 1643-1651 - [i6]Gregory Everett
, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn:
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations. CoRR abs/2302.06569 (2023) - 2022
- [c6]Ian Simpson, Ryan J. Beal, Duncan Locke, Timothy J. Norman:
Seq2Event: Learning the Language of Soccer Using Transformer-based Match Event Prediction. KDD 2022: 3898-3908 - [i5]Matthew Wear, Ryan Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn:
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage. CoRR abs/2202.12259 (2022) - 2021
- [c5]Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn:
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model. AAAI 2021: 15447-15451 - [c4]Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football. AAMAS 2021: 196-204 - [c3]Charbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn:
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data. KDD 2021: 3394-3403 - [i4]Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football. CoRR abs/2102.09469 (2021) - [i3]Charbel Merhej, Ryan Beal, Sarvapali D. Ramchurn, Tim Matthews:
What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data. CoRR abs/2106.01786 (2021) - 2020
- [j4]Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [j3]Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Daily Fantasy Sports Teams with Artificial Intelligence. Int. J. Comput. Sci. Sport 19(2): 21-35 (2020) - [j2]Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL. Int. J. Comput. Sci. Sport 19(2): 36-50 (2020) - [c2]Ryan Beal, Narayan Changder, Timothy J. Norman, Sarvapali D. Ramchurn:
Learning the Value of Teamwork to Form Efficient Teams. AAAI 2020: 7063-7070 - [c1]Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Game Tactics for Football. AAMAS 2020: 141-149 - [i2]Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Game Tactics for Football. CoRR abs/2003.10294 (2020) - [i1]Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn:
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model. CoRR abs/2012.04380 (2020)
2010 – 2019
- 2019
- [j1]Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
Artificial intelligence for team sports: a survey. Knowl. Eng. Rev. 34: e28 (2019)
Coauthor Index
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