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Shiva Pentyala
Shiva Pentyala
M.S. @ Texas A&M University, NLP @ Salesforce Research
Verified email at tamu.edu
Title
Cited by
Cited by
Year
XFake: Explainable Fake News Detector with Visualizations
F Yang, S Pentyala, S Mohseni
The World Wide Web Conference (WWW), 2019
632019
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
M Du, S Pentyala, Y Li, X Hu
https://arxiv.org/abs/1909.05999, 2019
59*2019
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
M Du, S Pentyala, Y Li, X Hu
Proceedings of the 29th ACM International Conference on Information …, 2020
302020
Multi-Task Networks With Universe, Group, and Task Feature Learning
S Pentyala, M Liu, M Dreyer
ACL19; arXiv preprint arXiv:1907.01791, 2019
112019
Emergency communication system with Docker containers, OSM and Rsync
S Pentyala
2017 IEEE, 1064-1069, 2017
102017
Interpretable Deep Learning Framework for Predicting all-cause 30-day ICU Readmissions
P Rafi, A Pakbin, S Pentyala
82018
Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, and Eric Ragan. 2020
S Mohseni, F Yang, S Pentyala
Trust evolution over time in explainable AI for fake news detection. Fair …, 2020
62020
Trust Evolution Over Time in Explainable AI for Fake News Detection
ER Sina Mohseni,Fan Yang,Shiva Pentyala,Mengnan Du,Yi Liu,Nic Lupfer,Xia Hu ...
Fair & Responsible AI; CHI 2020, http://fair-ai.owlstown.com/publications, 2020
4*2020
How level of explanation detail affects human performance in interpretable intelligent systems: A study on explainable fact checking
R Linder, S Mohseni, F Yang, SK Pentyala, ED Ragan, XB Hu
Applied AI Letters, e49, 2021
22021
Machine learning explanations to prevent overtrust in fake news detection
S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ...
arXiv preprint arXiv:2007.12358, 2020
22020
Interpretable Fake News Detection
SK Pentyala
2019
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Articles 1–11