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Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.

, , , , and . AffComp@IJCAI, volume 66 of Proceedings of Machine Learning Research, page 17-33. PMLR, (2017)

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Neurotics Can't Focus: An in situ Study of Online Multitasking in the Workplace., , , , and . CHI, page 1739-1744. ACM, (2016)Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data., , and . ICHI, page 206-213. IEEE, (2023)Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress*., and . EMBC, page 5896-5899. IEEE, (2020)Frequency-Dependent Light Stimulation Effects on Performance During Vigilance Tasks on a Laptop., and . EMBC, page 5232-5235. IEEE, (2020)Wavelet-based motion artifact removal for electrodermal activity., , , , , and . EMBC, page 6223-6226. IEEE, (2015)Understanding Ambulatory and Wearable Data for Health and Wellness., and . AAAI Spring Symposia, AAAI Press, (2014)Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild., , , and . ACII, page 1-8. IEEE, (2021)Bias Reducing Multitask Learning on Mental Health Prediction., , , and . ACII, page 1-8. IEEE, (2022)Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach., , , , , , , , and . BHI, page 1-4. IEEE, (2023)QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform., , , , and . Sensors, 18 (4): 1097 (2018)