Mo Zhou
Title
Cited by
Cited by
Year
Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial
M Zhou, Y Fukuoka, Y Mintz, K Goldberg, P Kaminsky, E Flowers, ...
JMIR mHealth and uHealth 6 (1), e28, 2018
482018
Personalizing Mobile Fitness Apps using Reinforcement Learning.
M Zhou, Y Mintz, Y Fukuoka, K Goldberg, E Flowers, P Kaminsky, ...
IUI Workshops, 2018
282018
Objectively measured baseline physical activity patterns in women in the mPED trial: cluster analysis
Y Fukuoka, M Zhou, E Vittinghoff, W Haskell, K Goldberg, A Aswani
JMIR public health and surveillance 4 (1), e10, 2018
182018
Applying machine learning to predict future adherence to physical activity programs
M Zhou, Y Fukuoka, K Goldberg, E Vittinghoff, A Aswani
BMC medical informatics and decision making 19 (1), 1-11, 2019
132019
M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering
M Zhou, A Cliff, A Huang, S Krishnan, B Nonnecke, K Uchino, S Joseph, ...
Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 309-312, 2015
102015
M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering
M Zhou, A Cliff, S Krishnan, B Nonnecke, C Crittenden, K Uchino, ...
Proceedings of the 16th Annual Conference on Information Technology …, 2015
82015
DevCAFE 1.0: A participatory platform for assessing development initiatives in the field
B Nonnecke, S Krishnan, J Patel, M Zhou, L Byaruhanga, D Masinde, ...
2015 IEEE Global Humanitarian Technology Conference (GHTC), 437-444, 2015
62015
Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions
A Miller, A Aswani, M Zhou, M Weinger, J Slagle, D France
Cognition, Technology & Work 21 (2), 225-236, 2019
32019
Abstract P284: ClusterAnalysis of Objectively Measured Physical Activity Patterns in Women in the mPEDTrial
Y Fukuoka, M Zhou, E Vittinghoff, W Haskell, K Goldberg, A Aswani
Circulation 137 (suppl_1), AP284-AP284, 2018
2018
Human Behavior Modeling and Incentive Design for Online Platforms
M Zhou
UC Berkeley, 2018
2018
M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback
M Zhou, S Krishnan, J Patel, B Nonnecke, C Crittenden, K Goldberg
Proceedings of the 18th Annual Conference on Information Technology …, 2017
2017
DebateCAFE v1. 0: Incentivizing Articulation and Consideration of Adversarial Arguments
M Zhou, S Krishnan, J Patel, B Nonnecke, M Kim, C Crittenden, N Adams, ...
2015
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Articles 1–12