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Sheldon Cohen
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Publications
- 2022
- [j5]Runze Yan
, Xinwen Liu, Janine M. Dutcher
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams. ACM Trans. Intell. Syst. Technol. 13(3): 47:1-47:27 (2022) - 2021
- [j4]Xuhai Xu
Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 41:1-41:27 (2021) - [j3]Prerna Chikersal
Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection. ACM Trans. Comput. Hum. Interact. 28(1): 3:1-3:41 (2021) - [c1]Abigale Kim, Fateme Nikseresht, Janine M. Dutcher
Understanding Health and Behavioral Trends of Successful Students Through Machine Learning Models. IHIET (Strasbourg) 2021: 516-525 - [i1]Abigale Kim, Fateme Nikseresht, Janine M. Dutcher, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey Creswel, J. David Creswell, Anind K. Dey, Jennifer Mankoff, Afsaneh Doryab:
Understanding health and behavioral trends of successful students through machine learning models. CoRR abs/2102.04212 (2021) - 2019
- [j2]Xuhai Xu
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 116:1-116:33 (2019)
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