| The Risk of Racial Bias while Tracking Influenza-Related Content on Social Media using Machine Learning B Lwowski, A Rios Journal of the American Medical Informatics Association, JAMIA, 2020 | 27 | 2020 |
| 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 | 23 | 2019 |
| Geospatial event detection by grouping emotion contagion in social media B Lwowski, P Rad, KKR Choo IEEE Transactions on Big Data 6 (1), 159-170, 2018 | 23 | 2018 |
| COVID-19 surveillance through Twitter using self-supervised and few shot learning B Lwowski, P Najafirad Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 16* | 2020 |
| An empirical study of the downstream reliability of pre-trained word embeddings A Rios, B Lwowski Proceedings of the 28th International Conference on Computational …, 2020 | 4 | 2020 |
| Measuring geographic performance disparities of offensive language classifiers B Lwowski, P Rad, A Rios arXiv preprint arXiv:2209.07353, 2022 | 2 | 2022 |
| Towards Safe and Trustworthy NLP Models: Understanding Performance Disparities in Computational Social Science BJ Lwowski The University of Texas at San Antonio, 2023 | | 2023 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioVerified email at utsa.edu
