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Dynamic models of stress-smoking responses based on high-frequency sensor data., , , , , , , , , and . npj Digit. Medicine, (2021)A Functional EM Algorithm for Panel Count Data with Missing Counts., , , , , , , and . CoRR, (2020)Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data., , , , , , , , , and 4 other author(s). CoRR, (2020)ewrapper: operationalizing engagement strategies in mHealth., , , , , , , , , and 2 other author(s). UbiComp/ISWC Adjunct, page 790-798. ACM, (2017)Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care., , , , , and . AAAI, page 15724-15730. AAAI Press, (2023)Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data., , , , , , , , , and 2 other author(s). CHI, page 4489-4501. ACM, (2016)ewrapper: Perceived Receptivity to Engagement Strategies in mHealth., , , and . CSCW Companion, page 398-402. ACM, (2019)A Robust Functional EM Algorithm for Incomplete Panel Count Data., , , , , , , and . NeurIPS, (2020)Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care., , , , , and . CoRR, (2022)From Markers to Interventions: The Case of Just-in-Time Stress Intervention., , , , , , , , , and . Mobile Health - Sensors, Analytic Methods, and Applications, Springer, (2017)