Inbal Nahum-Shani

35 papers A* 5Misc 1Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study.
CoRR
Susobhan Ghosh, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Yongyi Guo, Inbal Nahum-Shani, Maureen A. Walton, Mark W. Newman, Susan A. Murphy
2025 A* conf
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial.
AAAI
Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2025 J jnl
Reinforcement Learning on AYA Dyads to Enhance Medication Adherence.
CoRR
Ziping Xu, Hinal Jajal, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Alexandra M. Psihogios, Pei-Yao Hung, Susan A. Murphy
2025 — conf
Reinforcement Learning on Dyads to Enhance Medication Adherence.
AIME (1)
Ziping Xu, Hinal Jajal, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Alexandra M. Psihogios, Pei-Yao Hung, Susan A. Murphy
2024 J jnl
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial.
CoRR
Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2024 J jnl
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation.
CoRR
Anna L. Trella, Susobhan Ghosh, Erin E. Bonar, Lara N. Coughlin, Finale Doshi-Velez, Yongyi Guo, Pei-Yao Hung, Inbal Nahum-Shani, Vivek Shetty, Maureen A. Walton, Iris Yan, Kelly W. Zhang, Susan A. Murphy
2024 J jnl
MiWaves Reinforcement Learning Algorithm.
CoRR
Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2024 J jnl
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials.
CoRR
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Iris Yan, Finale Doshi-Velez, Susan A. Murphy
2024 J jnl
Oralytics Reinforcement Learning Algorithm.
CoRR
Anna L. Trella, Kelly W. Zhang, Stephanie Marita Carpenter, David Elashoff, Zara M. Greer, Inbal Nahum-Shani, Dennis Ruenger, Vivek Shetty, Susan A. Murphy
2024 A* conf
ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use.
IJCAI
Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2024 J jnl
reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use.
CoRR
Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2023 J jnl
Dyadic Reinforcement Learning.
CoRR
Shuangning Li, Lluis Salvat Niell, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Susan A. Murphy
2023 J jnl
Editorial: Digital technology for tobacco control: Novel data collection, study designs, and interventions.
Frontiers Digit. Health
Lindsey N. Potter, Inbal Nahum-Shani, David W. Wetter
2023 J jnl
Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.
Frontiers Digit. Health
Linying Ji, Yanling Li, Lindsey N. Potter, Cho Lam, Inbal Nahum-Shani, David W. Wetter, Sy-Miin Chow
2023 A* conf
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care.
AAAI
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2023 J jnl
Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies.
Frontiers Digit. Health
Michael Sobolev, Aditi Anand, John J. Dziak, Lindsey N. Potter, Cho Lam, David W. Wetter, Inbal Nahum-Shani
2022 J jnl
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines.
Algorithms
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022 J jnl
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines.
CoRR
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022 J jnl
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.
Frontiers Digit. Health
Inbal Nahum-Shani, John J. Dziak, David W. Wetter
2022 J jnl
New Directions for Motivational Incentive Interventions for Smoking Cessation.
Frontiers Digit. Health
Lara N. Coughlin, Erin E. Bonar, Maureen A. Walton, Anne C. Fernandez, Isabelle Duguid, Inbal Nahum-Shani
2022 J jnl
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care.
CoRR
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022 J jnl
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Md. Azim Ullah, Soujanya Chatterjee, Christopher P. Fagundes, Cho Lam, Inbal Nahum-Shani, James M. Rehg, David W. Wetter, Santosh Kumar
2021 J jnl
Dynamic models of stress-smoking responses based on high-frequency sensor data.
npj Digit. Medicine
Sahar Hojjatinia, Elyse R. Daly, Timothy Hnat, Syed Monowar Hossain, Santosh Kumar, Constantino M. Lagoa, Inbal Nahum-Shani, Shahin Alan Samiei, Bonnie Spring, David E. Conroy
2021 J jnl
Transformers for prompt-level EMA non-response prediction.
CoRR
Supriya Nagesh, Alexander Moreno, Stephanie Marita Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg
2020 J jnl
A Functional EM Algorithm for Panel Count Data with Missing Counts.
CoRR
Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg
2020 A* conf
A Robust Functional EM Algorithm for Incomplete Panel Count Data.
NeurIPS
Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg
2020 J jnl
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations.
CoRR
Ashley E. Walton, Linda M. Collins, Predrag V. Klasnja, Inbal Nahum-Shani, Mashfiqui Rabbi, Maureen A. Walton, Susan A. Murphy
2020 J jnl
Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data.
CoRR
Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Li, Katherine Li, Bess Rothman, Lexa Giragosian, Maya Reyes, Hannah Gadway, Rebecca M. Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy, Predrag V. Klasnja
2019 — conf
ewrapper: Perceived Receptivity to Engagement Strategies in mHealth.
CSCW Companion
Blake Wagner III, Michael Barskey, Inbal Nahum-Shani, Sun Young Park
2017 J jnl
Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).
IEEE Pervasive Comput.
Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2017 — ch.
From Markers to Interventions: The Case of Just-in-Time Stress Intervention.
Mobile Health - Sensors, Analytic Methods, and Applications
Hillol Sarker, Karen Hovsepian, Soujanya Chatterjee, Inbal Nahum-Shani, Susan A. Murphy, Bonnie Spring, Emre Ertin, Mustafa al'Absi, Motohiro Nakajima, Santosh Kumar
2017 — conf
SARA: a mobile app to engage users in health data collection.
UbiComp/ISWC Adjunct
Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Lee, Anthony Mansour, Laura Dent, Xiaolei Wang, Rebecca M. Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Predrag V. Klasnja, Maureen A. Walton, Susan A. Murphy
2016 A* conf
Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data.
CHI
Hillol Sarker, Matthew Tyburski, Md. Mahbubur Rahman, Karen Hovsepian, Moushumi Sharmin, David H. Epstein, Kenzie L. Preston, C. Debra Furr-Holden, Adam Milam, Inbal Nahum-Shani, Mustafa al'Absi, Santosh Kumar
2015 J jnl
Center of excellence for mobile sensor data-to-knowledge (MD2K).
J. Am. Medical Informatics Assoc.
Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2015 Misc conf
Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions.
UbiComp
Moushumi Sharmin, Andrew Raij, David H. Epstein, Inbal Nahum-Shani, J. Gayle Beck, Sudip Vhaduri, Kenzie Preston, Santosh Kumar