Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods GR Bauer, SM Churchill, M Mahendran, C Walwyn, D Lizotte, ... SSM-population health 14, 100798, 2021 | 494 | 2021 |
Automatic Gait Optimization with Gaussian Process Regression. DJ Lizotte, T Wang, MH Bowling, D Schuurmans IJCAI 7, 944-949, 2007 | 398 | 2007 |
Practical bayesian optimization DJ Lizotte University of Alberta, 2008 | 343 | 2008 |
Informing sequential clinical decision-making through reinforcement learning: an empirical study SM Shortreed, E Laber, DJ Lizotte, TS Stroup, J Pineau, SA Murphy Machine learning 84, 109-136, 2011 | 246 | 2011 |
Dynamic treatment regimes: Technical challenges and applications EB Laber, DJ Lizotte, M Qian, WE Pelham, SA Murphy Electronic journal of statistics 8 (1), 1225, 2014 | 205 | 2014 |
Bayesian sparse sampling for on-line reward optimization T Wang, D Lizotte, M Bowling, D Schuurmans Proceedings of the 22nd international conference on Machine learning, 956-963, 2005 | 149 | 2005 |
Budgeted learning of naïve-Bayes classifiers DJ Lizotte, O Madani, R Greiner Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002 | 139* | 2002 |
Linear fitted-q iteration with multiple reward functions DJ Lizotte, M Bowling, SA Murphy The Journal of Machine Learning Research 13 (1), 3253-3295, 2012 | 113 | 2012 |
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. DJ Lizotte, MH Bowling, SA Murphy ICML 10, 695-702, 2010 | 113 | 2010 |
Set‐valued dynamic treatment regimes for competing outcomes EB Laber, DJ Lizotte, B Ferguson Biometrics 70 (1), 53-61, 2014 | 91 | 2014 |
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning EJ Mucaki, JZL Zhao, DJ Lizotte, PK Rogan Signal transduction and targeted therapy 4 (1), 1, 2019 | 82 | 2019 |
An experimental methodology for response surface optimization methods DJ Lizotte, R Greiner, D Schuurmans Journal of Global Optimization 53, 699-736, 2012 | 75 | 2012 |
Artificial intelligence and primary care research: a scoping review JK Kueper, AL Terry, M Zwarenstein, DJ Lizotte The annals of family medicine 18 (3), 250-258, 2020 | 74 | 2020 |
Active model selection O Madani, DJ Lizotte, R Greiner Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004 | 74* | 2004 |
On hourly home peak load prediction RP Singh, PX Gao, DJ Lizotte 2012 IEEE Third International Conference on Smart Grid Communications …, 2012 | 72 | 2012 |
Tracking people over time in 19th century Canada for longitudinal analysis L Antonie, K Inwood, DJ Lizotte, J Andrew Ross Machine learning 95, 129-146, 2014 | 67 | 2014 |
Interpatient variation in rivaroxaban and apixaban plasma concentrations in routine care M Gulilat, A Tang, SE Gryn, P Leong-Sit, AC Skanes, JE Alfonsi, ... Canadian Journal of Cardiology 33 (8), 1036-1043, 2017 | 64 | 2017 |
Multi-objective Markov decision processes for data-driven decision support DJ Lizotte, EB Laber Journal of Machine Learning Research 17 (210), 1-28, 2016 | 63 | 2016 |
Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review D Facca, MJ Smith, J Shelley, D Lizotte, L Donelle Plos one 15 (8), e0237875, 2020 | 58 | 2020 |
The budgeted multi-armed bandit problem O Madani, DJ Lizotte, R Greiner International Conference on Computational Learning Theory, 643-645, 2004 | 54 | 2004 |