Daniel Lizotte

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Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Eric B. LaberJames B. Duke Professor of Biostatistics and Bioinformatics and Statistical Science, Duke UniversityVerified email at duke.edu
Dale SchuurmansUniversity of Alberta, Google DeepMindVerified email at cs.ualberta.ca
Jacqueline K. KueperScripps Research Translational InstituteVerified email at uwo.ca
Amanda TerryAssociate Professor, The University of Western OntarioVerified email at uwo.ca
Greta BauerProfessor and Director, Eli Coleman Institute for Sexual and Gender Health, University of MinnesotaVerified email at umn.edu
Michael BowlingAmii, University of AlbertaVerified email at ualberta.ca
Merrick ZwarensteinProfessor, Centre for Studies in Family Medicine, Schulich School of Medicine and Dentistry, WesternVerified email at ices.on.ca
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI ChairVerified email at ualberta.ca
Omid MadaniCiscoVerified email at cisco.com
William E. Pelham Jr.Florida International UniversityVerified email at fiu.edu
Siobhan ChurchillEpidemiologist, Lambton Public HealthVerified email at county-lambton.on.ca
Richard BoothWestern University; ICES WesternVerified email at uwo.ca
Min QianColumbia UniversityVerified email at cumc.columbia.edu
Richard B KimWestern UniversityVerified email at lhsc.on.ca
Alma Angelica Villa-RuedaProfesora Investigadora de Tiempo Completo en la Facultad de Enfermería, Universidad Autónoma deVerified email at uabc.edu.mx
Cheryl ForchukWestern University, Lawson Health Research InstituteVerified email at uwo.ca
Finnley A. Rose, PhDWestern UniversityVerified email at uwo.ca
Atif KhanComputer Science, University of WaterlooVerified email at uwaterloo.ca
Ute I. SchwarzVerified email at lhsc.on.ca

Daniel Lizotte

Associate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics

Verified email at uwo.ca

Machine Learning Reinforcement Learning Statistics Biostatistics


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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	633	2021
Automatic Gait Optimization with Gaussian Process Regression. DJ Lizotte, T Wang, MH Bowling, D Schuurmans IJCAI 7, 944-949, 2007	411	2007
Practical bayesian optimization DJ Lizotte University of Alberta, 2008	355	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	254	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	219	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	148	2005
Budgeted learning of naïve-Bayes classifiers DJ Lizotte, O Madani, R Greiner Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	140*	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	120	2012
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. DJ Lizotte, MH Bowling, SA Murphy ICML 10, 695-702, 2010	118	2010
Set‐valued dynamic treatment regimes for competing outcomes EB Laber, DJ Lizotte, B Ferguson Biometrics 70 (1), 53-61, 2014	98	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	87	2019
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	83	2020
Active model selection O Madani, DJ Lizotte, R Greiner Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004	76*	2004
An experimental methodology for response surface optimization methods DJ Lizotte, R Greiner, D Schuurmans Journal of Global Optimization 53, 699-736, 2012	75	2012
On hourly home peak load prediction RP Singh, PX Gao, DJ Lizotte 2012 IEEE Third International Conference on Smart Grid Communications …, 2012	71	2012
Multi-objective Markov decision processes for data-driven decision support DJ Lizotte, EB Laber Journal of Machine Learning Research 17 (210), 1-28, 2016	67	2016
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
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	66	2020
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	66	2017
Quantitative methods for descriptive intersectional analysis with binary health outcomes M Mahendran, D Lizotte, GR Bauer SSM-population health 17, 101032, 2022	55	2022

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