activity
20202024
most citedA Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation

Sairamvinay Vijayaraghavan, Jinxiao Song, Wan-Jhen Lin +1

Here, we present an end-to-end method to create 2D animation for a goalkeeper attempting to block a penalty kick, and then correct that motion using an iterative nonlinear optimiza…

cs.CV20223 cited

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

Sairamvinay Vijayaraghavan, David Haddad, Shikun Huang +1

The ability to predict lung and heart based diseases using deep learning techniques is central to many researchers, particularly in the medical field around the world. In this pape…

cs.SE20221 cited

Influence of Communication Among Shared Developers on the Productivity of Open Source Software Projects

Sairamvinay Vijayaraghavan, Jinxiao Song, Terry Guan +2

Many software developers rely on open source software for developing their applications and writing their source codes. Measuring an independent project's overall productivity is s…

cs.SE2021

Text Classification for Task-based Source Code Related Questions

Sairamvinay Vijayaraghavan, Jinxiao Song, David Tomassi +2

There is a key demand to automatically generate code for small tasks for developers. Websites such as StackOverflow provide a simplistic way by offering solutions in small snippets…

cs.CL2020

Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms

Sairamvinay Vijayaraghavan, Debraj Basu

Sentiment Analysis is an important algorithm in Natural Language Processing which is used to detect sentiment within some text. In our project, we had chosen to work on analyzing r…

cs.CL2020

Fake News Detection with Different Models

Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo +7

This is a paper for exploring various different models aiming at developing fake news detection models and we had used certain machine learning algorithms and we had used pretraine…