| 2023 | ACL | Entity Contrastive Learning in a Large-Scale Virtual Assistant System. | Jonathan Rubin, Jason Crowley, George Leung, Morteza Ziyadi, Maria Minakova |
| 2020 | ECAI | Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks. | Yumin Liu, Claire Zhao, Jonathan Rubin |
| 2018 | MICCAI | Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss. | Sayed Mazdak Abulnaga, Jonathan Rubin |
| 2017 | IJCAI | Recognizing Abnormal Heart Sounds Using Deep Learning. | Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan |
| 2015 | MUM | A wearable and mobile intervention delivery system for individuals with panic disorder. | Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow |
| 2013 | FlAIRS | Learning from Demonstration to Be a Good Team Member in a Role Playing Game. | Michael Silva, Silas McCroskey, Jonathan Rubin, Michael Youngblood, Ashwin Ram |
| 2013 | IJCAI | Decision Generalisation from Game Logs in No Limit Texas Hold'em. | Jonathan Rubin, Ian D. Watson |
| 2012 | ICCBR | Opponent Type Adaptation for Case-Based Strategies in Adversarial Games. | Jonathan Rubin, Ian D. Watson |
| 2012 | IE | SARTRE: a case-based poker web app. | Ian D. Watson, Jonathan Rubin, Glen Robertson |
| 2011 | ICCBR | Successful Performance via Decision Generalisation in No Limit Texas Hold'em. | Jonathan Rubin, Ian D. Watson |
| 2011 | IJCAI | On Combining Decisions from Multiple Expert Imitators for Performance. | Jonathan Rubin, Ian D. Watson |
| 2010 | ICCBR | Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em. | Jonathan Rubin, Ian D. Watson |
| 2007 | FlAIRS | Investigating the Effectiveness of Applying Case-Based Reasoning to the Game of Texas Hold'em. | Jonathan Rubin, Ian D. Watson |