Prerna Chikersal

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 5

Top Topics

Linguistic Patterns

College Students

Collective Intelligence

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

ACM Trans. Comput. Hum. Interact.

Publications

Prerna Chikersal, Afsaneh Doryab, Michael J. Tumminia, Daniella K. Villalba, Janine M. Dutcher, Xinwen Liu, Sheldon Cohen, Kasey G. Creswell, Jennifer Mankoff, J. David Creswell, Mayank Goel, Anind K. Dey
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) (2021)
Xuhai Xu, Prerna Chikersal, Janine M. Dutcher, Yasaman S. Sefidgar, Woosuk Seo, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Afsaneh Doryab, Paula S. Nurius, Eve A. Riskin, Anind K. Dey, Jennifer Mankoff
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) (2021)
Prerna Chikersal, Danielle Belgrave, Gavin Doherty, Angel Enrique, Jorge E. Palacios, Derek Richards, Anja Thieme
Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention. CHI (2020)
Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia, Tim Althoff, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Jennifer Mankoff, Anind K. Dey
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (3) (2019)
Prerna Chikersal, Maria Tomprou, Young Ji Kim, Anita Williams Woolley, Laura Dabbish
Deep Structures of Collaboration: Physiological Correlates of Collective Intelligence and Group Satisfaction. CSCW (2017)
Prerna Chikersal, Soujanya Poria, Erik Cambria
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning. SemEval@NAACL-HLT (2015)
Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong
Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning. CICLing (2) (2015)