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Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace.

, , , , and . UbiComp, page 577-588. ACM, (2015)

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Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data., , , , , and . CoRR, (2020)Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation., , , and . CoRR, (2020)Moving Beyond Market Research: Demystifying Smartphone User Behavior in India., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1 (3): 82:1-82:27 (2017)Balancing Continual Learning and Fine-tuning for Human Activity Recognition., , , , , and . CoRR, (2024)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)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)Let's Talk About the Quantified Workplace., , , , and . CSCW Companion, page 522-528. ACM, (2016)Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach., , , , , and . CoRR, (2019)Understanding the impact of personal feedback on face-to-face interactions in the workplace., , , , and . ICMI, page 362-369. ACM, (2016)