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Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning., , , , , , and . CoRR, (2023)A User-Centered Active Learning Approach for Appliance Recognition., , , , and . SMARTCOMP, page 208-213. IEEE, (2020)Expanding annotated data with informed labels for weak supervision., , , and . MLDM (2), page 571-584. ibai Publishing, (2019)Learning from Non-experts: An Interactive and Adaptive Learning Approach for Appliance Recognition in Smart Homes., , , , and . ACM Trans. Cyber Phys. Syst., 6 (2): 16:1-16:22 (2022)Modeling Mobile Health Users as Reinforcement Learning Agents., , , , and . CoRR, (2022)Machine Learning in the Wild: The Case of User-Centered Learning in Cyber Physical Systems., , and . COMSNETS, page 275-281. IEEE, (2020)Efficient learning in computer-aided diagnosis through label propagation., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501I. SPIE, (2019)Online structural kernel selection for mobile health., , , and . CoRR, (2021)Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm., , , and . IROS, page 3739-3746. IEEE, (2021)