Tung, K., Torre, S.D., Mistiri, M.E., Braganca, R.B., Hekler, E.B., Pavel, M., Rivera, D.E., Klasnja, P., Spruijt-Metz, D., & Marlin, B.M. (2022). BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. Accepted at IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2022. ArXiv, abs/2209.05581.
A. Xu, A. Moreno, S. Nagesh, V. B. Aydemir, D. W. Wetter, S. Kumar, and J. M. Rehg. PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. Proceedings 36th Conference on Neural Information Processing Systems (NeurIPS), Track on Datasets and Benchmarks, 2022. Accepted for publication. NIHMS1839168.
Moreno, Z. Wu, S. Nagesh, W. Dempsey, and J. M. Rehg. Kernel Multimodal Continuous Attention. Proceedings 36th Conference on Neural Information Processing Systems (NeurIPS), 2022. Accepted for publication.
Nahum-Shani I, Shaw SD, Carpenter SM, Murphy SA, Yoon C.Engagement in digital interventions. Am Psychol. 2022 Mar 17;. doi: 10.1037/amp0000983. [Epub ahead of print] PubMed PMID: 35298199; NIHMSID:NIHMS1800077.
Nahum-Shani I, Potter LN, Lam CY, Yap J, Moreno A, Stoffel R, Wu Z, Wan N, Dempsey W, Kumar S, Ertin E, Murphy SA, Rehg JM, Wetter DW.The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol. Contemp Clin Trials. 2021 Nov;110:106513. doi: 10.1016/j.cct.2021.106513. Epub 2021 Jul 24. PubMed PMID: 34314855; PubMed Central PMCID: PMC8824313 .
Civek, Burak C., and Emre Ertin. “Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior.” IEEE Transactions on Signal Processing 70 (2022): 1256-1269. NIHMS1839071.
Civek, Burak C., and Emre Ertin.”MCMC Methods for Estimation of Thoracic Fluid Levels using UWB Radar,.” Poster at IEEE BHI-BSN 2022.
Saleheen, Nazir, Md Azim Ullah, Supriyo Chakraborty, Deniz S. Ones, Mani Srivastava, and Santosh Kumar. “WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data.” In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, pp. 2807-2823. 2021. NIHMS1839082
Liu, Renju, Luis Garcia, and Mani Srivastava. “Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices.” In 2021 IEEE/ACM Symposium on Edge Computing (SEC), pp. 94-105. IEEE, 2021. NIHMS1839084
Saha, Swapnil Sayan, Sandeep Singh Sandha, Luis Antonio Garcia, and Mani Srivastava. “Tinyodom: Hardware-aware efficient neural inertial navigation.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies6, no. 2 (2022): 1-32. NIHMS1839164
Saha, Swapnil Sayan, Sandeep Singh Sandha, Siyou Pei, Vivek Jain, Ziqi Wang, Yuchen Li, Ankur Sarker, and Mani Srivastava. “Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies6, no. 2 (2022): 1-34. NIHMS1839165
Saha, Swapnil Sayan, Sandeep Singh Sandha, and Mani Srivastava. “Machine Learning for Microcontroller-Class Hardware–A Review.” arXiv preprint arXiv:2205.14550(2022). Accepted for IEEE J. Sensors ’22.
Saha, Swapnil Sayan, Sandeep Singh Sandha, Mohit Aggarwal, and Mani Srivastava. “THIN-Bayes: Platform-Aware Machine Learning for Low-End IoT Devices.” Poster at the tinyML Summit 2022.
Akther, S., Saleheen, N., Saha, M., Shetty, V., Kumar, S. mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial Sensors. In the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2021; 5(2):1-25. PUBMED, PUBMED CENTRAL, DOI, PDF
Zhang, K.W., Janson, L., Murphy S.A.Inference for Batched Bandits. Advances in Neural Information Processing Systems. 2020, December;33:9818-9829. PUBMED, PUBMED CENTRAL, DOI, PDF
Nahum-Shani, I., Rabbi, M., Yap, J., Philyaw-Kotov, M.L., Klasnja, P., Bonar, E.E., Cunningham, R.M., Murphy, S.A., Walton, M.A. Translating strategies for promoting engagement in mobile health: A proof-of-concept microrandomized trial. Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2020;40(12):974-987. PUBMED, PUBMED CENTRAL, DOI, PDF
Yao, J., Brunskill, E., Pan, W., Murphy, S.A., Doshi-Velez, F. Power Constrained Bandits. In The Proceedings of Machine Learning Research. 2021, August; 149:209-259. PUBMED, PUBMED CENTRAL, DOI, PDF
Chatterjee, S., Moreno, A., Lizotte, S.L., Akther, S., Ertin, E., Fagundes, C.P., Lam, C., Rehg, J. M., Wan, N., Wetter, D.W., & Kumar, S. SmokingOpp: Detecting the Smoking ‘Opportunity’ Context Using Mobile Sensors. In The Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies. 2021, October; 4(1):4. PUBMED, PUBMED CENTRAL, DOI, PDF
Wang, Z., Wang, B., Srivastava, M. Protecting User Data Privacy with Adversarial Perturbations (Poster Abstract). IPSN (Conference). 2021, May; 386-387. PUBMED, PUBMED CENTRAL, DOI, PDF
Qian T, Klasnja P, Murphy S.A. Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study. Statistical science : a review journal of the Institute of Mathematical Statistics. 2020;35(3):375-390. PUBMED, PUBMED CENTRAL, DOI, PDF
Carpenter, S.M., Menictas, M., Nahum-Shani, I., Wetter, D.W., Murphy, S.A. Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies. 2020, December;4(4):280-290. PUBMED, PUBMED CENTRAL, DOI, PDF
Bari R, Rahman MM, Saleheen N, Parsons MB, Buder EH, Kumar S. Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial Sensors. Current addiction reports. 2020, September;7(3):280-290. PUBMED, PUBMED CENTRAL, DOI, PDF
Liao, P., Klasnja, P., Murphy, S.A. Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Journal of the American Statistical Association. 2021;116(533):382-391. PUBMED, PUBMED CENTRAL, DOI, PDF
Nahum-Shani, I., Potter, L.N., Lam, C.Y., Yap, J., Moreno, A., Stoffel, R., Wu, Z., Wan, N., Dempsey, W., Kumar, S., Ertin, E., Murphy, S.A,, Rehg, J.M., Wetter, D.W. The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol. Contemporary clinical trials. 2021, July 24. PUBMED, PUBMED CENTRAL, DOI, PDF
Saleheen, N., Ullah, M.A., N., Chakraborty, S., Ones, D.S., Srivastava, M., Kumar, S. WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data. In the Proceedings of the ACM SIGSAC Conference on Computer and Communications Security. 2021:2807-2823. PUBMED, PUBMED CENTRAL, DOI, PDF
Battalio, S.L., Conroy, D.E., Dempsey, W., Liao, P., Menictas, M., Murphy, S.A., Nahum-Shani, I., Qian, T., Kumar, S., Spring, B. Sense2Stop: A micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention. Contemporary clinical trials. 2021, August 8;109(106534). PUBMED, PUBMED CENTRAL, DOI, PDF
Li, S., Psihogios, A.M., McKelvey, E.R., Ahmed, A., Rabbi, M., Murphy, S.A. Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example. Current opinion in systems biology. 2020 June;21:1-8. PUBMED, PUBMED CENTRAL, DOI, PDF
