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Zahra Shakeri Hossein Abad, M. Bano, and D. Zowghi. "How much authenticity can be achieved in software engineering project based courses?." 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET). IEEE, 2019.
Zahra Shakeri Hossein Abad, V. Gervasi, D. Zowghi and B. H. Far, "Supporting Analysts by Dynamic Extraction and Classification of Requirements-Related Knowledge," 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 2019, pp. 442-453, doi:10.1109/ICSE.2019.00057.
Zahra Shakeri Hossein Abad, A. Kline, and J. Lee. "Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices." 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2020.
Zahra Shakeri Hossein Abad, D. M. Maslove, and J. Lee. "Predicting Discharge Destination of Critically Ill Patients Using Machine Learning." IEEE Journal of Biomedical and Health Informatics 25.3 (2020): 827-837.
A. Kline, T. Kline, Zahra Shakeri Hossein Abad and J. Lee, (2020). Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach. Journal of Medical Internet Research, 22(9), e20268.
Zahra Shakeri Hossein Abad, A. Kline, M. Sultana, et al. Digital public health surveillance: a systematic scoping review. Nature Digital Medicine. 4, 41 (2021). doi:10.1038/s41746-021-00407-6
Zahra Shakeri Hossein Abad, W. Thompson, G. Butler and J. Lee, 2021. Crowdsourcing for machine learning in public health surveillance: lessons learned from Amazon Mechanical Turk. doi:10.31219/osf.io/ndp8m
Zahra Shakeri Hossein Abad, G. P. Butler, W. Thompson and J. Lee. medRxiv 2021; doi:10.1101/2021.04.13.21255449