Inbal Nahum-Shani

According to our database, Inbal Nahum-Shani authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use.

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy

CoRR, 2024

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials.

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Iris Yan, Finale Doshi-Velez, Susan A. Murphy

CoRR, 2024

2023

Editorial: Digital technology for tobacco control: Novel data collection, study designs, and interventions.

Lindsey N. Potter, Inbal Nahum-Shani, David W. Wetter

Frontiers Digit. Health, May, 2023

Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies.

Michael Sobolev, Aditi Anand, John J. Dziak, Lindsey N. Potter, Cho Lam, David W. Wetter, Inbal Nahum-Shani

Frontiers Digit. Health, March, 2023

Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.

Linying Ji, Yanling Li, Lindsey N. Potter, Cho Lam, Inbal Nahum-Shani, David W. Wetter, Sy-Miin Chow

Frontiers Digit. Health, March, 2023

Dyadic Reinforcement Learning.

Shuangning Li, Lluis Salvat Niell, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Susan A. Murphy

CoRR, 2023

Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care.

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels.

Md. Azim Ullah, Soujanya Chatterjee, Christopher P. Fagundes, Cho Lam, Inbal Nahum-Shani, James M. Rehg, David W. Wetter, Santosh Kumar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.

Inbal Nahum-Shani, John J. Dziak, David W. Wetter

Frontiers Digit. Health, 2022

New Directions for Motivational Incentive Interventions for Smoking Cessation.

Lara N. Coughlin, Erin Bonar, Maureen A. Walton, Anne C. Fernandez, Isabelle Duguid, Inbal Nahum-Shani

Frontiers Digit. Health, 2022

Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines.

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

Algorithms, 2022

2021

Dynamic models of stress-smoking responses based on high-frequency sensor data.

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

npj Digit. Medicine, 2021

Transformers for prompt-level EMA non-response prediction.

Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg

CoRR, 2021

2020

The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations.

Ashley E. Walton, Linda M. Collins, Predrag V. Klasnja, Inbal Nahum-Shani, Mashfiqui Rabbi, Maureen A. Walton, Susan A. Murphy

CoRR, 2020

Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data.

Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Li, Katherine Li, Bess Rothman, Lexa Giragosian, Maya Reyes, Hannah Gadway, Rebecca M. Cunningham, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy, Predrag V. Klasnja

CoRR, 2020

A Functional EM Algorithm for Panel Count Data with Missing Counts.

Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg

CoRR, 2020

A Robust Functional EM Algorithm for Incomplete Panel Count Data.

Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

ewrapper: Perceived Receptivity to Engagement Strategies in mHealth.

Blake Wagner III, Michael Barskey, Inbal Nahum-Shani, Sun Young Park

Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

2017

Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).

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

IEEE Pervasive Comput., 2017

<i>e</i>wrapper: operationalizing engagement strategies in mHealth.

Blake Wagner III, Elaine Liu, Steven D. Shaw, Gleb Iakovlev, Linlu Zhou, Christina N. Harrington, Gregory D. Abowd, Carolyn Yoon, Santosh Kumar, Susan A. Murphy, Bonnie Spring, Inbal Nahum-Shani

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

SARA: a mobile app to engage users in health data collection.

Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Lee, Anthony Mansour, Laura Dent, Xiaolei Wang, Rebecca M. Cunningham, Erin Bonar, Inbal Nahum-Shani, Predrag V. Klasnja, Maureen A. Walton, Susan A. Murphy

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

From Markers to Interventions: The Case of Just-in-Time Stress Intervention.

Hillol Sarker, Karen Hovsepian, Soujanya Chatterjee, Inbal Nahum-Shani, Susan A. Murphy, Bonnie Spring, Emre Ertin, Mustafa al'Absi, Motohiro Nakajima, Santosh Kumar

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data.

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

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Center of excellence for mobile sensor data-to-knowledge (MD2K).

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

J. Am. Medical Informatics Assoc., 2015

Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions.

Moushumi Sharmin, Andrew Raij, David H. Epstein, Inbal Nahum-Shani, J. Gayle Beck, Sudip Vhaduri, Kenzie Preston, Santosh Kumar

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015