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mCrave: continuous estimation of craving during smoking cessation., , , , , , , , , and 3 other author(s). UbiComp, page 863-874. ACM, (2016)mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels., , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 6 (3): 143:1-143:29 (2022)From Markers to Interventions: The Case of Just-in-Time Stress Intervention., , , , , , , , , and . Mobile Health - Sensors, Analytic Methods, and Applications, Springer, (2017)mLung++: automated characterization of abnormal lung sounds in pulmonary patients using multimodal mobile sensors., , , , , and . UbiComp/ISWC Adjunct, page 474-481. ACM, (2019)Transformers for prompt-level EMA non-response prediction., , , , , , , , , and 2 other author(s). CoRR, (2021)puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation., , , , , , , , and . UbiComp, page 999-1010. ACM, (2015)Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors., , , , , , , and . CHI, page 1-13. ACM, (2020)A Novel Fault Detection and Replacement Scheme in WSN., , , , and . ISI, volume 235 of Advances in Intelligent Systems and Computing, page 303-310. Springer, (2013)SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors., , , , , , , , , and 1 other author(s). Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (1): 4:1-4:26 (2020)