Efficient learning in computer-aided diagnosis through label propagation. - Samuel Berglin; Eura Shin; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2019)

Expanding annotated data with informed labels for weak supervision. - Eura Shin; Samuel Berglin; Jacob Furst 001; Daniela Raicu (MLDM (2), 2019)

Machine Learning in the Wild: The Case of User-Centered Learning in Cyber Physical Systems. - Atieh Rajabi Khamesi; Eura Shin; Simone Silvestri (COMSNETS, 2020)

A User-Centered Active Learning Approach for Appliance Recognition. - Eura Shin; Atieh Rajabi Khamesi; Zachary Bahr; Simone Silvestri; Denise A. Baker (SMARTCOMP, 2020)

Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. - Nathaniel Dennler; Eura Shin; Maja J. Mataric; Stefanos Nikolaidis (IROS, 2021)

Online structural kernel selection for mobile health. - Eura Shin; Pedja Klasnja; Susan A. Murphy; Finale Doshi-Velez (CoRR, 2021)

Modeling Mobile Health Users as Reinforcement Learning Agents. - Eura Shin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (CoRR, 2022)

Learning from Non-experts: An Interactive and Adaptive Learning Approach for Appliance Recognition in Smart Homes. - Jackson Codispoti; Atieh Rajabi Khamesi; Nelson Penn; Simone Silvestri; Eura Shin (ACM Trans. Cyber Phys. Syst., 2022)

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. - Lars Lien Ankile; Brian S. Ham; Kevin Mao; Eura Shin; Siddharth Swaroop; Finale Doshi-Velez; Weiwei Pan (CoRR, 2023)

Online model selection by learning how compositional kernels evolve. - Eura Shin; Predrag Klasnja; Susan A. Murphy; Finale Doshi-Velez (Trans. Mach. Learn. Res., 2023)

Leveraging Interpretable Human Models to Personalize AI Interventions for Behavior Change. - Eura Nofshin (AAMAS, 2024)

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. - Eura Nofshin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (AAMAS, 2024)

A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. - Eura Nofshin; Esther Brown; Brian Lim; Weiwei Pan; Finale Doshi-Velez (CoRR, 2024)