Fake News Detection with Different Models. - Sairamvinay Vijayaraghavan; Ye Wang; Zhiyuan Guo; John Voong; Wenda Xu; Armand Nasseri; Jiaru Cai; Linda Li; Kevin Vuong; Eshan Wadhwa (CoRR, 2020)

Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms. - Sairamvinay Vijayaraghavan; Debraj Basu (CoRR, 2020)

Text Classification for Task-based Source Code Related Questions. - Sairamvinay Vijayaraghavan; Jinxiao Song; David Tomassi; Siddhartha Punj; Jailan Sabet (CoRR, 2021)

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification. - Sairamvinay Vijayaraghavan; David Haddad; Shikun Huang; Seongwoo Choi (CoRR, 2022)

Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation. - Sairamvinay Vijayaraghavan; Jinxiao Song; Wan-Jhen Lin; Michael J. Livanos (CoRR, 2022)

Influence of Communication Among Shared Developers on the Productivity of Open Source Software Projects. - Sairamvinay Vijayaraghavan; Jinxiao Song; Terry Guan; Seongwoo Choi; Sutej Kulkarni (CoRR, 2022)

GAN based Data Augmentation to Resolve Class Imbalance. - Sairamvinay Vijayaraghavan; Terry Guan; Jason Song (CoRR, 2022)

Stability of Explainable Recommendation. - Sairamvinay Vijayaraghavan; Prasant Mohapatra (RecSys, 2023)