Prerna Chikersal

According to our database, Prerna Chikersal authored at least 7 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

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

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

ACM Trans. Comput. Hum. Interact., 2021

Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students.

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

2020

Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention.

Prerna Chikersal, Danielle Belgrave, Gavin Doherty, Angel Enrique, Jorge E. Palacios, Derek Richards, Anja Thieme

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students.

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2017

Deep Structures of Collaboration: Physiological Correlates of Collective Intelligence and Group Satisfaction.

Prerna Chikersal, Maria Tomprou, Young Ji Kim, Anita Williams Woolley, Laura Dabbish

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2015

SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning.

Prerna Chikersal, Soujanya Poria, Erik Cambria

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning.

Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015