Daniel J. Lizotte

60 papers A* 5A 4B 1C 3Journal 33Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stacked one-vs-one (SOvO): A new approach for multi-class classification for sEMG recognition. Pattern Recognit. Maedeh Mohammadiazni, Daniel J. Lizotte, Ana Luisa Trejos
2025	J	`jnl`	Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis. Informatics Mozhgan Salimparsa, Kamran Sedig, Daniel J. Lizotte, Sheikh S. Abdullah, Niaz Chalabianloo, Flory T. Muanda
2025	—	`conf`	Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. UniReps Rouzbeh Meshkinnejad, Jie Mei, Zeduo Zhang, Daniel J. Lizotte, Yalda Mohsenzadeh
2025	J	`jnl`	Towards understanding the bias in decision trees. CoRR Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford
2025	J	`jnl`	Using Platt's scaling for calibration after undersampling - limitations and how to address them. Trans. Mach. Learn. Res. Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford
2024	J	`jnl`	Challenges learning from imbalanced data using tree-based models: Prevalence estimates systematically depend on hyperparameters and can be upwardly biased. CoRR Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford
2024	J	`jnl`	DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. Sensors Caroline Strickland, Muhammad Zakar, Chandrika Saha, Sareh Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque
2024	J	`jnl`	Using Platt's scaling for calibration after undersampling - limitations and how to address them. CoRR Nathan Phelps, Daniel J. Lizotte, Douglas G. Woolford
2023	J	`jnl`	A Smart Technology Intervention in the Homes of People with Mental Illness and Physical Comorbidities. Sensors Cheryl Forchuk, Abraham Rudnick, Deborah Corring, Daniel J. Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, Jonathan Serrato
2023	J	`jnl`	DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. CoRR Caroline Strickland, Chandrika Saha, Muhammad Zakar, Sareh Nejad, Noshin Tasnim, Daniel J. Lizotte, Anwar Haque
2023	J	`jnl`	Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. CoRR Rouzbeh Meshkinnejad, Jie Mei, Daniel J. Lizotte, Yalda Mohsenzadeh
2023	J	`jnl`	Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation. CoRR Nathan Phelps, Stephanie Marrocco, Stephanie Cornell, Dalton L. Wolfe, Daniel J. Lizotte
2022	J	`jnl`	Hybrid Feature- and Similarity-Based Models for Prediction and Interpretation using Large-Scale Observational Data. CoRR Jacqueline K. Kueper, Jennifer Rayner, Daniel J. Lizotte
2022	J	`jnl`	Is primary health care ready for artificial intelligence? What do primary health care stakeholders say? BMC Medical Informatics Decis. Mak. 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
2022	C	`conf`	Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities. ICOST Cheryl Forchuk, Abraham Rudnick, Deborah Corring, Daniel J. Lizotte, Jeffrey S. Hoch, Richard Booth, Barbara Frampton, Rupinder Mann, Jonathan Serrato
2021	—	`conf`	A User-Centered Design of Explainable AI for Clinical Decision Support. Canadian AI Mozhgan Salimiparsa, Daniel J. Lizotte, Kamran Sedig
2021	J	`jnl`	Analyzing Patient Stories on Social Media Using Text Analytics. J. Heal. Informatics Res. Moutasem A. Zakkar, Daniel J. Lizotte
2021	C	`conf`	Ecological Momentary Assessment extensions 3 (EMAX3) Proposal: An app for EMA-type research. ISCC Chris Brogly, Daniel J. Lizotte, Michael A. Bauer
2021	—	`conf`	Hierarchical Reinforcement Learning for Decision Support in Health Care. Canadian AI Caroline Strickland, Daniel J. Lizotte
2021	J	`jnl`	VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data. Data Maede Nouri, Daniel J. Lizotte, Kamran Sedig, Sheikh S. Abdullah
2020	—	`conf`	Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization. MLHC Athanasios Demetri Pananos, Daniel J. Lizotte
2020	J	`jnl`	Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology. Int. J. Medical Informatics Jason E. Black, Amanda L. Terry, Daniel J. Lizotte
2020	C	`conf`	Improving Access and Mental Health for Youth Through Virtual Models of Care. ICOST 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
2020	J	`jnl`	Machine Learning for Identifying Medication-Associated Acute Kidney Injury. Informatics Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Daniel J. Lizotte, Amit X. Garg, Eric McArthur
2019	J	`jnl`	Archetype-Based Modeling and Search of Social Media. Big Data Cogn. Comput. Brent D. Davis, Kamran Sedig, Daniel J. Lizotte
2019	J	`jnl`	Decision-Directed Data Decomposition. CoRR Brent D. Davis, Ethan Jackson, Daniel J. Lizotte
2019	J	`jnl`	Development of an EMG-Based Muscle Health Model for Elbow Trauma Patients. Sensors Emma Farago, Shrikant Chinchalkar, Daniel J. Lizotte, Ana Luisa Trejos
2017	—	`conf`	Visualizing Clinical Significance with Prediction and Tolerance Regions. MLHC Maria Jahja, Daniel J. Lizotte
2016	J	`jnl`	Multi-Objective Markov Decision Processes for Data-Driven Decision Support. J. Mach. Learn. Res. Daniel J. Lizotte, Eric B. Laber
2016	—	`conf`	gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity. MLHC Rhiannon V. Rose, Daniel J. Lizotte
2016	J	`jnl`	gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity. CoRR Rhiannon V. Rose, Daniel J. Lizotte
2015	—	`conf`	Reconstruction of 3-D Density Functions from Few Projections: Structural Assumptions for Graceful Degradation. CRV Michael Cormier, Daniel J. Lizotte, Richard Mann
2014	J	`jnl`	Scalable approximate policies for Markov decision process models of hospital elective admissions. Artif. Intell. Medicine George Zhu, Daniel J. Lizotte, Jesse Hoey
2014	J	`jnl`	Theory and Application of Shapelets to the Analysis of Surface Self-assembly Imaging. CoRR Robert Suderman, Daniel J. Lizotte, Nasser Mohieddin Abukhdeir
2014	J	`jnl`	Tracking people over time in 19th century Canada for longitudinal analysis. Mach. Learn. Luiza Antonie, Kris Inwood, Daniel J. Lizotte, J. Andrew Ross
2013	—	`conf`	Critiquing Time-of-Use pricing in Ontario. SmartGridComm Adedamola Adepetu, Elnaz Rezaei, Daniel J. Lizotte, Srinivasan Keshav
2013	A	`conf`	Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
2013	J	`jnl`	Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
2013	A*	`conf`	Linear Fitted-Q Iteration with Multiple Reward Functions. ICAPS Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2012	J	`jnl`	Active Model Selection CoRR Omid Madani, Daniel J. Lizotte, Russell Greiner
2012	J	`jnl`	An experimental methodology for response surface optimization methods. J. Glob. Optim. Daniel J. Lizotte, Russell Greiner, Dale Schuurmans
2012	—	`conf`	Bayesian Multiple Imputation Approaches for One-Class Classification. Canadian AI Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte
2012	J	`jnl`	Budgeted Learning of Naive-Bayes Classifiers CoRR Daniel J. Lizotte, Omid Madani, Russell Greiner
2012	—	`conf`	Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data. ICMLA (1) Atif Khan, John A. Doucette, Robin Cohen, Daniel J. Lizotte
2012	J	`jnl`	Linear fitted-Q iteration with multiple reward functions. J. Mach. Learn. Res. Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2012	—	`conf`	On hourly home peak load prediction. SmartGridComm Rayman Preet Singh, Peter Xiang Gao, Daniel J. Lizotte
2012	J	`jnl`	Set-valued dynamic treatment regimes for competing outcomes CoRR Eric B. Laber, Daniel J. Lizotte, Bradley Ferguson
2011	—	`conf`	Convergent Fitted Value Iteration with Linear Function Approximation. NIPS Daniel J. Lizotte
2011	J	`jnl`	Informing sequential clinical decision-making through reinforcement learning: an empirical study. Mach. Learn. Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
2010	A*	`conf`	Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. ICML Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
2007	A*	`conf`	Automatic Gait Optimization with Gaussian Process Regression. IJCAI Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
2007	—	`conf`	Stable Dual Dynamic Programming. NIPS Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2006	B	`conf`	Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization. CoNLL Qin Iris Wang, Colin Cherry, Daniel J. Lizotte, Dale Schuurmans
2005	A*	`conf`	Bayesian sparse sampling for on-line reward optimization. ICML Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
2004	A	`conf`	Active Model Selection. UAI Omid Madani, Daniel J. Lizotte, Russell Greiner
2004	A*	`conf`	The Budgeted Multi-armed Bandit Problem. COLT Omid Madani, Daniel J. Lizotte, Russell Greiner
2004	—	`conf`	Trading confidence for communications. SMC (1) Daniel J. Lizotte, Hong Zhang
2003	A	`conf`	Budgeted Learning of Naive-Bayes Classifiers. UAI Daniel J. Lizotte, Omid Madani, Russell Greiner
2002	A	`conf`	A Parallel Numerical Algorithm for Boundary-Value FIDES on a PC Cluster. IPDPS Ruth E. Shaw, Lawrence E. Garey, Daniel J. Lizotte
2001	J	`jnl`	A parallel numerical algorithm for fredholm integro-differential two-point boundary value problems. Int. J. Comput. Math. Ruth E. Shaw, Lawrence E. Garey, Daniel J. Lizotte