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Can You See It?: Good, So We Can Sense It!, , , , , , and . GetMobile Mob. Comput. Commun., 25 (2): 38-42 (2021)Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition., , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 6 (4): 725-727 (2022)Transfer Learning for Activity Recognition in Mobile Health., , , , , , , , and . CoRR, (2020)Finding Islands of Predictability in Action Forecasting., , and . CoRR, (2022)On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution., , , and . ISWC, page 65-68. ACM, (2013)Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity., and . ISWC, page 33-38. ACM, (2023)Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition., , and . ISWC, page 39-43. ACM, (2023)Assessing the quality of home detection from mobile phone data for official statistics., , , and . CoRR, (2018)Dog's life: wearable activity recognition for dogs., , , , and . UbiComp, page 415-418. ACM, (2013)IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition., , , , , , and . CoRR, (2020)