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Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection.

, , , , , , , , , , , and . ACM Trans. Comput. Hum. Interact., 28 (1): 3:1-3:41 (2021)

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The Relationship Between Intelligence Mindset and Test Anxiety as Mediated by Effort Regulation., , , , , , , , and . CogSci, cognitivesciencesociety.org, (2021)A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams., , , , , , , , , and 1 other author(s). ACM Trans. Intell. Syst. Technol., 13 (3): 47:1-47:27 (2022)Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students., , , , , , , , , and 5 other author(s). Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (1): 41:1-41:27 (2021)Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection., , , , , , , , , and 2 other author(s). ACM Trans. Comput. Hum. Interact., 28 (1): 3:1-3:41 (2021)Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students., , , , , , , , , and 2 other author(s). Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (3): 116:1-116:33 (2019)Understanding Health and Behavioral Trends of Successful Students Through Machine Learning Models., , , , , , , , , and 1 other author(s). IHIET (Strasbourg), volume 1378 of Advances in Intelligent Systems and Computing, page 516-525. Springer, (2021)