| A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems S Mohseni, N Zarei, ED Ragan arXiv preprint arXiv:1811.11839, 2018 | 853* | 2018 |
| Self-Supervised Learning for Generalizable Out-of-Distribution Detection S Mohseni, M Pitale, JBS Yadawa, Z Wang Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 245 | 2020 |
| 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 | 150 | 2019 |
| The effects of meaningful and meaningless explanations on trust and perceived system accuracy in intelligent systems M Nourani, S Kabir, S Mohseni, ED Ragan Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 118 | 2019 |
| Practical Solutions for Machine Learning Safety in Autonomous Vehicles S Mohseni, M Pitale, V Singh, Z Wang The AAAI Workshop on Artificial Intelligence Safety (Safe AI), 2020 | 112 | 2020 |
| A human-grounded evaluation benchmark for local explanations of machine learning S Mohseni, JE Block, ED Ragan arXiv preprint arXiv:1801.05075, 2018 | 72 | 2018 |
| Quantitative evaluation of machine learning explanations: A human-grounded benchmark S Mohseni, JE Block, E Ragan Proceedings of the 26th International Conference on Intelligent User …, 2021 | 63 | 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, ... Proceedings of the international AAAI conference on web and social media 15 …, 2021 | 58 | 2021 |
| Competition over resources: a new optimization algorithm based on animals behavioral ecology S Mohseni, R Gholami, N Zarei, AR Zadeh 2014 International Conference on Intelligent Networking and Collaborative …, 2014 | 45 | 2014 |
| Taxonomy of machine learning safety: A survey and primer S Mohseni, H Wang, C Xiao, Z Yu, Z Wang, J Yadawa ACM Computing Surveys 55 (8), 1-38, 2022 | 44 | 2022 |
| Open issues in combating fake news: Interpretability as an opportunity S Mohseni, E Ragan, X Hu arXiv preprint arXiv:1904.03016, 2019 | 36 | 2019 |
| 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 | 29 | 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 2 (4), e49, 2021 | 26 | 2021 |
| Facial expression recognition using anatomy based facial graph S Mohseni, N Zarei, S Ramazani 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 25 | 2014 |
| Practical machine learning safety: A survey and primer S Mohseni, H Wang, Z Yu, C Xiao, Z Wang, J Yadawa arXiv preprint arXiv:2106.04823 4, 2021 | 23 | 2021 |
| Combating fake news with interpretable news feed algorithms S Mohseni, E Ragan arXiv preprint arXiv:1811.12349, 2018 | 23 | 2018 |
| Designing an automatic detector device to diagnose insulator state on overhead distribution lines MF Palangar, S Mohseni, M Mirzaie, A Mahmoudi IEEE Transactions on Industrial Informatics 18 (2), 1072-1082, 2021 | 21 | 2021 |
| Predicting Model Failure using Saliency Maps in Autonomous Driving Systems S Mohseni, A Jagadeesh, Z Wang ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning, 2019 | 21 | 2019 |
| Processor and system to identify out-of-distribution input data in neural networks S Mohseni, MM Pitale, J Yadawa US Patent App. 16/679,089, 2021 | 19 | 2021 |
| Facial expression recognition using DCT features and neural network based decision tree S Mohseni, HM Kordy, R Ahmadi Proceedings ELMAR-2013, 361-364, 2013 | 17 | 2013 |
Eric RaganUniversity of FloridaVerified email at ufl.edu
