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On the role of features in human activity recognition., , and . UbiComp, page 78-88. ACM, (2019)Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition., , and . PERCOM, page 232-241. IEEE, (2023)Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research., , , and . CoRR, (2024)Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing., , , , , , , and . ACIIW, page 1-8. IEEE, (2023)How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?, , , and . ISWC, page 66-70. ACM, (2023)Clustering of Human Activities from Wearables by Adopting Nearest Neighbors., , and . ISWC, page 1-5. ACM, (2022)Contrastive Predictive Coding for Human Activity Recognition., , and . CoRR, (2020)Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition., , and . CoRR, (2023)IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (3): 87:1-87:29 (2020)Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors., , , , and . UbiComp/ISWC Adjunct, page 759-761. ACM, (2023)