| Automatic text summarization using customizable fuzzy features and attention on the context and vocabulary R Sahba, N Ebadi, M Jamshidi, P Rad 2018 world automation congress (WAC), 1-5, 2018 | 50 | 2018 |
| Identifying incident causal factors to improve aviation transportation safety: Proposing a deep learning approach T Dong, Q Yang, N Ebadi, XR Luo, P Rad Journal of advanced transportation 2021 (1), 5540046, 2021 | 49 | 2021 |
| Human action performance using deep neuro-fuzzy recurrent attention model N Bendre, N Ebadi, JJ Prevost, P Najafirad IEEE Access 8, 57749-57761, 2020 | 40 | 2020 |
| A memory network information retrieval model for identification of news misinformation N Ebadi, M Jozani, KKR Choo, P Rad IEEE Transactions on Big Data 8 (5), 1358-1370, 2021 | 36 | 2021 |
| Implicit life event discovery from call transcripts using temporal input transformation network N Ebadi, B Lwowski, M Jaloli, P Rad IEEE Access 7, 172178-172189, 2019 | 24 | 2019 |
| CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation N Ebadi, R Li, A Das, A Roy, P Nikos, P Najafirad Medical Image Analysis 86, 102800, 2023 | 12 | 2023 |
| System and method for human action recognition and intensity indexing from video stream using fuzzy attention machine learning NS Bendre, N Ebadi, P Najafirad US Patent App. 17/222,924, 2021 | 6 | 2021 |
| Interpretable self-supervised multi-task learning for covid-19 information retrieval and extraction N Ebadi, P Najafirad arXiv preprint arXiv:2106.08252, 2021 | 5 | 2021 |
| Can Hierarchical Transformers Learn Facial Geometry? P Young, N Ebadi, A Das, M Bethany, K Desai, P Najafirad Sensors 23 (2), 929, 2023 | 3 | 2023 |
| A self-supervised approach for semantic indexing in the context of COVID-19 pandemic N Ebadi, P Najafirad arXiv preprint arXiv:2010.03544, 2020 | 3 | 2020 |
| Longitudinal Lung Tumor Segmentation On CBCTs Using Sequential Transduction Neural Network and Self-Supervised Domain Adaptation R Li, N Ebadi, A Das, A Roy, N Kirby, N Papanikolaou, M Bonnen, P Rad MEDICAL PHYSICS 49 (6), E453-E453, 2022 | 1 | 2022 |
| Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats R Pavlich, N Ebadi, R Tarbell, B Linares, A Tan, R Humphreys, JK Das, ... arXiv preprint arXiv:2406.17574, 2024 | | 2024 |
| Extracting Biomedical Entities from Noisy Audio Transcripts N Ebadi, K Morgan, A Tan, B Linares, S Osborn, E Majors, J Davis, A Rios arXiv preprint arXiv:2403.17363, 2024 | | 2024 |
| Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing N Ebadi, A Rios, P Najafirad Proceedings of the Third Workshop on Scholarly Document Processing, 138-151, 2022 | | 2022 |
| A Data-Driven Fluence Map Optimization Approach to Mitigate the Risk of Deep Learning Tumor Segmentation Misclassification R Li, N Ebadi, J Boutilier, P Rad, J Buatti, M De Oliveira, N Kirby, ... MEDICAL PHYSICS 49 (6), E551-E551, 2022 | | 2022 |
| Deep Representation Learning for Biomedical Text Mining N Ebadi The University of Texas at San Antonio, 2021 | | 2021 |
| Research Article Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach T Dong, Q Yang, N Ebadi, XR Luo, P Rad | | 2021 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioVerified email at utsa.edu
