no code implementations • 19 May 2023 • Yelena Mejova, Lydia Manikonda
Unprecedented lockdowns at the start of the COVID-19 pandemic have drastically changed the routines of millions of people, potentially impacting important health-related behaviors.
no code implementations • 24 Oct 2022 • Brendan Cunha, Lydia Manikonda
This paper seeks to address the classification of misinformation in news articles using a Long Short Term Memory Recurrent Neural Network.
no code implementations • 26 Jan 2020 • Niharika Jain, Alberto Olmo, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
In this paper, we show that popular Generative Adversarial Networks (GANs) exacerbate biases along the axes of gender and skin tone when given a skewed distribution of face-shots.
no code implementations • 9 Nov 2018 • Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati
The use of synthetic data generated by Generative Adversarial Networks (GANs) has become quite a popular method to do data augmentation for many applications.
no code implementations • 25 Sep 2017 • Lydia Manikonda, Subbarao Kambhampati
Specifically, this paper performs a comparative analysis on the understanding of users belonging to two categories -- general AI-Tweeters (AIT) and expert AI-Tweeters (EAIT) who share posts about AI on Twitter.
no code implementations • 27 Apr 2017 • Lydia Manikonda, Cameron Dudley, Subbarao Kambhampati
Specifically, this paper performs a comparative analysis on the understanding of users from two categories -- general AI-Tweeters (AIT) and the expert AI-Tweeters (EAIT) who share posts about AI on Twitter.