Daniel J. Lizotte

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 24

Top Topics

Decision Support

Markov Decision

Top Venues

Publications

Caroline Strickland, Muhammad Zakar, Chandrika Saha, Sareh Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. Sensors 24 (9) (2024)
Caroline Strickland, Chandrika Saha, Muhammad Zakar, Sareh Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. CoRR (2023)
Nathan Phelps, Stephanie Marrocco, Stephanie Cornell, Dalton L. Wolfe, Daniel J. Lizotte
Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation. CoRR (2023)
Cheryl Forchuk, Abraham Rudnick, Deborah Corring, Daniel J. Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, Jonathan Serrato
A Smart Technology Intervention in the Homes of People with Mental Illness and Physical Comorbidities. Sensors 23 (1) (2023)
Rouzbeh Meshkinnejad, Jie Mei, Daniel J. Lizotte, Yalda Mohsenzadeh
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. CoRR (2023)
Jacqueline K. Kueper, Jennifer Rayner, Daniel J. Lizotte
Hybrid Feature- and Similarity-Based Models for Prediction and Interpretation using Large-Scale Observational Data. CoRR (2022)
Amanda L. Terry, Jacqueline K. Kueper, Ron Beleno, Judith Belle Brown, Sonny Cejic, Janet Dang, Daniel Leger, Scott McKay, Leslie Meredith, Andrew D. Pinto, Bridget L. Ryan, Moira Stewart, Merrick Zwarenstein, Daniel J. Lizotte
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say? BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Cheryl Forchuk, Abraham Rudnick, Deborah Corring, Daniel J. Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, Jonathan Serrato
Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities. ICOST (2022)
Maede Nouri, Daniel J. Lizotte, Kamran Sedig, Sheikh S. Abdullah
VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data. Data 6 (8) (2021)
Chris Brogly, Daniel J. Lizotte, Michael A. Bauer
Ecological Momentary Assessment extensions 3 (EMAX3) Proposal: An app for EMA-type research. ISCC (2021)
Caroline Strickland, Daniel J. Lizotte
Hierarchical Reinforcement Learning for Decision Support in Health Care. Canadian Conference on AI (2021)
Moutasem A. Zakkar, Daniel J. Lizotte
Analyzing Patient Stories on Social Media Using Text Analytics. J. Heal. Informatics Res. 5 (4) (2021)
Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig
A User-Centered Design of Explainable AI for Clinical Decision Support. Canadian Conference on AI (2021)
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
Improving Access and Mental Health for Youth Through Virtual Models of Care. ICOST (2020)
Jason E. Black, Amanda L. Terry, Daniel J. Lizotte
Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology. Int. J. Medical Informatics 141 (2020)
A. Demetri Pananos, Daniel J. Lizotte
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization. MLHC (2020)
Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Daniel J. Lizotte, Amit X. Garg, Eric McArthur
Machine Learning for Identifying Medication-Associated Acute Kidney Injury. Informatics 7 (2) (2020)
Brent D. Davis, Ethan Jackson, Daniel J. Lizotte
Decision-Directed Data Decomposition. CoRR (2019)
Brent D. Davis, Kamran Sedig, Daniel J. Lizotte
Archetype-Based Modeling and Search of Social Media. Big Data Cogn. Comput. 3 (3) (2019)
Emma Farago, Shrikant Chinchalkar, Daniel J. Lizotte, Ana Luisa Trejos
Development of an EMG-Based Muscle Health Model for Elbow Trauma Patients. Sensors 19 (15) (2019)
Maria Jahja, Daniel J. Lizotte
Visualizing Clinical Significance with Prediction and Tolerance Regions. MLHC (2017)
Rhiannon V. Rose, Daniel J. Lizotte
gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity. CoRR (2016)
Rhiannon V. Rose, Daniel J. Lizotte
gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity. MLHC (2016)
Daniel J. Lizotte, Eric B. Laber
Multi-Objective Markov Decision Processes for Data-Driven Decision Support. J. Mach. Learn. Res. 17 (2016)
Michael Cormier, Daniel J. Lizotte, Richard Mann
Reconstruction of 3-D Density Functions from Few Projections: Structural Assumptions for Graceful Degradation. CRV (2015)
Robert Suderman, Daniel J. Lizotte, Nasser Mohieddin Abukhdeir
Theory and Application of Shapelets to the Analysis of Surface Self-assembly Imaging. CoRR (2014)
Luiza Antonie, Kris Inwood, Daniel J. Lizotte, J. Andrew Ross
Tracking people over time in 19th century Canada for longitudinal analysis. Mach. Learn. 95 (1) (2014)
George Zhu, Daniel J. Lizotte, Jesse Hoey
Scalable approximate policies for Markov decision process models of hospital elective admissions. Artif. Intell. Medicine 61 (1) (2014)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR (2013)
Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI (2013)
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
Linear Fitted-Q Iteration with Multiple Reward Functions. ICAPS (2013)
Adedamola Adepetu, Elnaz Rezaei, Daniel J. Lizotte, Srinivasan Keshav
Critiquing Time-of-Use pricing in Ontario. SmartGridComm (2013)
Eric B. Laber, Daniel J. Lizotte, Bradley Ferguson
Set-valued dynamic treatment regimes for competing outcomes CoRR (2012)
Omid Madani, Daniel J. Lizotte, Russell Greiner
Active Model Selection CoRR (2012)
Daniel J. Lizotte, Russell Greiner, Dale Schuurmans
An experimental methodology for response surface optimization methods. J. Glob. Optim. 53 (4) (2012)
Rayman Preet Singh, Peter Xiang Gao, Daniel J. Lizotte
On hourly home peak load prediction. SmartGridComm (2012)
Daniel J. Lizotte, Omid Madani, Russell Greiner
Budgeted Learning of Naive-Bayes Classifiers CoRR (2012)
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
Linear fitted-Q iteration with multiple reward functions. J. Mach. Learn. Res. 13 (2012)
Atif Khan, John A. Doucette, Robin Cohen, Daniel J. Lizotte
Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data. ICMLA (1) (2012)
Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte
Bayesian Multiple Imputation Approaches for One-Class Classification. Canadian Conference on AI (2012)
Daniel J. Lizotte
Convergent Fitted Value Iteration with Linear Function Approximation. NIPS (2011)
Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
Informing sequential clinical decision-making through reinforcement learning: an empirical study. Mach. Learn. 84 (1-2) (2011)
Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. ICML (2010)
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
Stable Dual Dynamic Programming. NIPS (2007)
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
Automatic Gait Optimization with Gaussian Process Regression. IJCAI (2007)
Qin Iris Wang, Colin Cherry, Daniel J. Lizotte, Dale Schuurmans
Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization. CoNLL (2006)
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
Bayesian sparse sampling for on-line reward optimization. ICML (2005)
Omid Madani, Daniel J. Lizotte, Russell Greiner
Active Model Selection. UAI (2004)
Omid Madani, Daniel J. Lizotte, Russell Greiner
The Budgeted Multi-armed Bandit Problem. COLT (2004)
Daniel J. Lizotte, Hong Zhang
Trading confidence for communications. SMC (1) (2004)
Daniel J. Lizotte, Omid Madani, Russell Greiner
Budgeted Learning of Naive-Bayes Classifiers. UAI (2003)
Ruth E. Shaw, Lawrence E. Garey, Daniel J. Lizotte
A Parallel Numerical Algorithm for Boundary-Value FIDES on a PC Cluster. IPDPS (2002)
Ruth E. Shaw, Lawrence E. Garey, Daniel J. Lizotte
A parallel numerical algorithm for fredholm integro-differential two-point boundary value problems. Int. J. Comput. Math. 77 (2) (2001)