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A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (1): 39:1-39:30 (2020)Flower: A Friendly Federated Learning Research Framework., , , , , and . CoRR, (2020)Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation., , , and . CoRR, (2020)Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows., , , and . ACM Trans. Softw. Eng. Methodol., 32 (6): 155:1-155:37 (November 2023)Balancing Continual Learning and Fine-tuning for Human Activity Recognition., , , , , and . CoRR, (2024)Let's Talk About the Quantified Workplace., , , , and . CSCW Companion, page 522-528. ACM, (2016)Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data., , , , , and . CoRR, (2020)Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach., , , , , and . CoRR, (2019)Understanding the Privacy Design Space for Personal Connected Objects., , , and . BCS HCI, BCS, (2016)An early characterisation of wearing variability on motion signals for wearables., , , and . UbiComp, page 166-168. ACM, (2019)