Search Results for author: Sairamvinay Vijayaraghavan

Found 6 papers, 0 papers with code

GAN based Data Augmentation to Resolve Class Imbalance

no code implementations12 Jun 2022 Sairamvinay Vijayaraghavan, Terry Guan, Jason, Song

The number of credit card fraud has been growing as technology grows and people can take advantage of it.

Data Augmentation Generative Adversarial Network

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

no code implementations28 Mar 2022 Sairamvinay Vijayaraghavan, David Haddad, Shikun Huang, Seongwoo Choi

In this paper, we have also established that without additional layers before the output classification, the CNN models will improve the performance of predicting the disease labels for each patient.

Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation

no code implementations28 Mar 2022 Sairamvinay Vijayaraghavan, Jinxiao Song, Wan-Jhen Lin, Michael J Livanos

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 optimization scheme.

object-detection Object Detection

Text Classification for Task-based Source Code Related Questions

no code implementations31 Oct 2021 Sairamvinay Vijayaraghavan, Jinxiao Song, David Tomassi, Siddhartha Punj, Jailan Sabet

In this paper, we develop a two-fold deep learning model: Seq2Seq and a binary classifier that takes in the intent (which is in natural language) and code snippets in Python.

Question Answering text-classification +1

Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms

no code implementations21 Mar 2020 Sairamvinay Vijayaraghavan, Debraj Basu

Sentiment Analysis is an important algorithm in Natural Language Processing which is used to detect sentiment within some text.

BIG-bench Machine Learning Sentiment Analysis

Fake News Detection with Different Models

no code implementations15 Feb 2020 Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo, John Voong, Wenda Xu, Armand Nasseri, Jiaru Cai, Linda Li, Kevin Vuong, Eshan Wadhwa

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 pretrained algorithms such as TFIDF and CV and W2V as features for processing textual data.

BIG-bench Machine Learning Fake News Detection

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