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Autonomous sensor-context learning in dynamic human-centered internet-of-things environments.

, and . ICCAD, page 75. ACM, (2016)

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Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification., , , , and . BSN, page 1-4. IEEE, (2019)Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors., and . ACM Trans. Design Autom. Electr. Syst., 24 (4): 39:1-39:27 (2019)Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors., and . IPSN, page 79-90. ACM, (2017)Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition., , and . CoRR, (2020)Proximity-based active learning for eating moment recognition in wearable systems., , , and . WearSys@MobiSys, page 7-12. ACM, (2020)Personalized Human Activity Recognition Using Convolutional Neural Networks., , and . AAAI, page 8143-8144. AAAI Press, (2018)A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors., , , , and . IEEE J. Sel. Top. Signal Process., 10 (5): 842-853 (2016)Autonomous sensor-context learning in dynamic human-centered internet-of-things environments., and . ICCAD, page 75. ACM, (2016)A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract., , , and . IPSN, page 313-314. ACM, (2017)Impact of sensor misplacement on estimating metabolic equivalent of task with wearables., , , , and . BSN, page 1-6. IEEE, (2015)