| Xfake: Explainable fake news detector with visualizations F Yang, SK Pentyala, S Mohseni, M Du, H Yuan, R Linder, ED Ragan, S Ji, ... The world wide web conference, 3600-3604, 2019 | 137 | 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 | 84 | 2020 |
| 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, ... Proceedings of the international AAAI conference on web and social media 15 …, 2021 | 42 | 2021 |
| Towards generalizable forgery detection with locality-aware autoencoder M Du, S Pentyala, Y Li, X Hu arXiv preprint arXiv:1909.05999 1 (2), 8, 2019 | 38 | 2019 |
| Multi-task networks with universe, group, and task feature learning S Pentyala, M Liu, M Dreyer arXiv preprint arXiv:1907.01791, 2019 | 34 | 2019 |
| Emergency communication system with Docker containers, OSM and Rsync SK Pentyala 2017 International Conference On Smart Technologies For Smart Nation …, 2017 | 23 | 2017 |
| 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 2 (4), e49, 2021 | 21 | 2021 |
| 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 | 21 | 2020 |
| Interpretable deep learning framework for predicting all-cause 30-day ICU readmissions P Rafi, A Pakbin, SK Pentyala Texas A&M University, 2018 | 17 | 2018 |
| Trust evolution over time in explainable AI for fake news detection S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ... Fair & Responsible AI Workshop at CHI 2020, 2020 | 7 | 2020 |
| Interpretable Fake News Detection SK Pentyala | 7 | 2019 |
| Multi-Task Networks With Universe M Liu, M Dreyer, S Pentyala Group, and Task Feature Learning, 2019 | 7 | 2019 |
| & Ragan, ED (2020). Trust evolution over time in explainable AI for fake news detection S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer Fair & Responsible AI Workshop at CHI 2020, 2829-2049, 0 | 7 | |
| Generation of training data for machine learning based models for named entity recognition for natural language processing J Liu, A Sharma, SS Barot, G Singh, M Gupta, SK Pentyala, A Chadha US Patent App. 17/202,188, 2022 | 3 | 2022 |
| Hierarchical natural language understanding systems SK Pentyala, JM Soumet, S Harinath, S Bhagavath, J Liu, A Chadha US Patent 11,880,659, 2024 | 1 | 2024 |
| Machine learning based named entity recognition for natural language processing J Liu, A Sharma, SS Barot, G Singh, M Gupta, SK Pentyala, A Chadha US Patent App. 17/202,183, 2022 | 1 | 2022 |
| Multi-Task Networks With Universe, Group, and Task Feature Learning M Liu, M Dreyer, S Pentyala | 1 | 2019 |
| Intelligent training set augmentation for natural language processing tasks SK Pentyala, M Gupta, A Chadha, I Iyer, R Socher US Patent 11,599,721, 2023 | | 2023 |
| Multi-task learning with task, group, and universe feature learning S Pentyala, M Liu, M Dreyer | | 2019 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
