Eura Shin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Label Propagation

Top Venues

ACM Trans. Cyber Phys. Syst.

Medical Imaging: Computer-Aided Diagnosis

Publications

Eura Shin, Predrag Klasnja, Susan A. Murphy, Finale Doshi-Velez
Online model selection by learning how compositional kernels evolve. Trans. Mach. Learn. Res. 2023 (2023)
Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. CoRR (2023)
Jackson Codispoti, Atieh Rajabi Khamesi, Nelson Penn, Simone Silvestri, Eura Shin
Learning from Non-experts: An Interactive and Adaptive Learning Approach for Appliance Recognition in Smart Homes. ACM Trans. Cyber Phys. Syst. 6 (2) (2022)
Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR (2022)
Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. CoRR (2021)
Nathaniel Dennler, Eura Shin, Maja J. Mataric, Stefanos Nikolaidis
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm. IROS (2021)
Eura Shin, Pedja Klasnja, Susan A. Murphy, Finale Doshi-Velez
Online structural kernel selection for mobile health. CoRR (2021)
Eura Shin, Atieh Rajabi Khamesi, Zachary Bahr, Simone Silvestri, Denise A. Baker
A User-Centered Active Learning Approach for Appliance Recognition. SMARTCOMP (2020)
Atieh Rajabi Khamesi, Eura Shin, Simone Silvestri
Machine Learning in the Wild: The Case of User-Centered Learning in Cyber Physical Systems. COMSNETS (2020)
Samuel Berglin, Eura Shin, Jacob D. Furst, Daniela Raicu
Efficient learning in computer-aided diagnosis through label propagation. Medical Imaging: Computer-Aided Diagnosis (2019)
Eura Shin, Samuel Berglin, Jacob D. Furst, Daniela Raicu
Expanding annotated data with informed labels for weak supervision. MLDM (2) (2019)