| 2022 | ICOST | Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities. | Cheryl Forchuk, Abraham Rudnick, Deborah Corring, Daniel J. Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, Jonathan Serrato |
| 2021 | AI | A User-Centered Design of Explainable AI for Clinical Decision Support. | Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig |
| 2021 | AI | Hierarchical Reinforcement Learning for Decision Support in Health Care. | Caroline Strickland, Daniel J. Lizotte |
| 2021 | ISCC | Ecological Momentary Assessment extensions 3 (EMAX3) Proposal: An app for EMA-type research. | Chris Brogly, Daniel J. Lizotte, Michael A. Bauer |
| 2020 | ICOST | Improving Access and Mental Health for Youth Through Virtual Models of Care. | Cheryl Forchuk, Sandra Fisman, Jeffrey P. Reiss, Kerry Collins, Julie Eichstedt, Abraham Rudnick, Wanrudee Isaranuwatchai, Jeffrey S. Hoch, Xianbin Wang, Daniel J. Lizotte, Shona Macpherson, Richard Booth |
| 2013 | UAI | Generative Multiple-Instance Learning Models For Quantitative Electromyography. | Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte |
| 2012 | AI | Bayesian Multiple Imputation Approaches for One-Class Classification. | Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte |
| 2012 | ICMLA | Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data. | Atif Khan, John A. Doucette, Robin Cohen, Daniel J. Lizotte |
| 2010 | ICML | Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. | Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy |
| 2007 | IJCAI | Automatic Gait Optimization with Gaussian Process Regression. | Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans |
| 2006 | CoNLL | Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization. | Qin Iris Wang, Colin Cherry, Daniel J. Lizotte, Dale Schuurmans |
| 2005 | ICML | Bayesian sparse sampling for on-line reward optimization. | Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans |
| 2004 | COLT | The Budgeted Multi-armed Bandit Problem. | Omid Madani, Daniel J. Lizotte, Russell Greiner |
| 2004 | SMC | Trading confidence for communications. | Daniel J. Lizotte, Hong Zhang |
| 2004 | UAI | Active Model Selection. | Omid Madani, Daniel J. Lizotte, Russell Greiner |
| 2003 | UAI | Budgeted Learning of Naive-Bayes Classifiers. | Daniel J. Lizotte, Omid Madani, Russell Greiner |