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UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations.

, , and . PerCom Workshops, page 340-342. IEEE, (2023)

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UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations., , and . PerCom Workshops, page 340-342. IEEE, (2023)Using Self-supervised Learning Can Improve Model Fairness., , , , , and . KDD, page 3942-3953. ACM, (2024)The State of Algorithmic Fairness in Mobile Human-Computer Interaction., , , , , and . MobileHCI (Companion), page 19:1-19:7. ACM, (2023)LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild., , , , , , , , , and . (July 2022)12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead., , and . UMAP (Adjunct Publication), page 211-221. ACM, (2022)MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference., , , and . DSAA, page 1-10. IEEE, (2023)Stress Beats: A Continuum of Learning Methods for Personalized Stress Detection., , , and . WI/IAT, page 40-47. IEEE, (2023)FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing., , , , and . UbiComp/ISWC Adjunct, page 777-783. ACM, (2023)WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction., , , and . PerCom Workshops, page 385-390. IEEE, (2022)Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study., , , and . CoRR, (2023)