Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. - Yu Huang 015; Jiaqi Gong; Mark Rucker; Philip Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (DigitalBioMarker@MobiSys, 2017)

Agent-based model construction using inverse reinforcement learning. - Kamwoo Lee; Mark Rucker; William T. Scherer; Peter A. Beling; Matthew S. Gerber; Hyojung Kang (WSC, 2017)

A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches. - Sonia Baee; Mark Rucker; Anna N. Baglione; Mawulolo K. Ameko; Laura E. Barnes (PervasiveHealth, 2020)

Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. - Mark A. Rucker; Layne T. Watson; Laura E. Barnes; Matthew S. Gerber (CoRR, 2020)

A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches. - Sonia Baee; Mark Rucker; Anna N. Baglione; Mawulolo K. Ameko; Laura E. Barnes (CoRR, 2020)

Inverse Reinforcement Learning for Strategy Identification. - Mark Rucker; Stephen C. Adams; Roy Hayes; Peter A. Beling (SMC, 2021)

Eigen Memory Trees. - Mark Rucker; Jordan T. Ash; John Langford 001; Paul Mineiro; Ida Momennejad (CoRR, 2022)

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. - Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (BSN, 2023)

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. - Zhiyuan Wang 003; Mingyue Tang; Maria A. Larrazabal; Emma R. Toner; Mark Rucker; Congyu Wu; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (EMBC, 2023)

Personalized Reward Learning with Interaction-Grounded Learning (IGL). - Jessica Maghakian; Paul Mineiro; Kishan Panaganti; Mark Rucker; Akanksha Saran; Cheng Tan (ICLR, 2023)

Infinite Action Contextual Bandits with Reusable Data Exhaust. - Mark Rucker; Yinglun Zhu; Paul Mineiro (ICML, 2023)

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. - Emma R. Toner; Mark Rucker; Zhiyuan Wang 003; Maria A. Larrazabal; Lihua Cai; Debajyoti Datta; Elizabeth Thompson; Haroon Lone; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (CoRR, 2023)

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. - Zhiyuan Wang 003; Maria A. Larrazabal; Mark Rucker; Emma R. Toner; Katharine E. Daniel; Shashwat Kumar; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

A Resource Efficient System for On-Smartwatch Audio Processing. - Md. Sabbir Ahmed; Arafat Rahman; Zhiyuan Wang 003; Mark Rucker; Laura E. Barnes (MobiCom, 2024)

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators. - Maria A. Larrazabal; Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (SMARTCOMP, 2025)

SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions. - Md. Sabbir Ahmed; Arafat Rahman; Mark Rucker; Laura E. Barnes (CoRR, 2025)