no code implementations • 12 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.
no code implementations • 28 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.
no code implementations • 28 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.
no code implementations • 31 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.
no code implementations • 21 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.
no code implementations • 15 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.