| XFake: Explainable Fake News Detector with Visualizations F Yang, S Pentyala, S Mohseni The World Wide Web Conference (WWW), 2019 | 63 | 2019 |
| 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 | 30 | 2020 |
| Multi-Task Networks With Universe, Group, and Task Feature Learning S Pentyala, M Liu, M Dreyer ACL19; arXiv preprint arXiv:1907.01791, 2019 | 11 | 2019 |
| Emergency communication system with Docker containers, OSM and Rsync S Pentyala 2017 IEEE, 1064-1069, 2017 | 10 | 2017 |
| Interpretable Deep Learning Framework for Predicting all-cause 30-day ICU Readmissions P Rafi, A Pakbin, S Pentyala | 8 | 2018 |
| 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 | 6 | 2020 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| Interpretable Fake News Detection SK Pentyala | | 2019 |
Mengnan DuPhD Student, Texas A&M UniversityVerified email at tamu.edu
