Hossain, T., Alam, F. (2023). Assessing the Effect of Non-Pharmaceutical Inventions on Infectious Disease Epidemics using Structural Causal Model. Multidisciplinary Information Research Symposium (MIRS).
Rostami, M., Hossain, T. (2023). Health and Wellness Influencers' Role in COVID-19 Misinformation: Social Influence Perspective. Multidisciplinary Information Research Symposium (MIRS).
Nguyen, H., Chen, H., Maganti, R., Hossain, T., Ding, J. Identifying High-quality Informative Comments for Software Review Summarization. IEEE AITest.
Karanam, L., Yi, K., Shae, Z., Chang, D., Shyu, C., Hossain, T. (2022). Continuous Anticipation of AKI in the ICU using Time-Gated LSTMs. AMIA Clinical Informatics Conference.
Morstatter, F., Galstyan, A., Satyukov, G., Benjamin, D., Abeliuk, A., Mirtaheri, M., Hossain, T. (2019). SAGE: A Hybrid Geopolitical Event Forecasting System. International Joint Conference on Artificial Intelligence.
Mirtaheri, M., Abu-El-Haija, S., Hossain, T., Morstatter, F., Galstyan, A. (2019). Tensor-based Method for Temporal Geopolitical Event Forecasting. International Conference on Machine Learning Workshop.
Benjamin, D., Morstatter, F., Abbas, A., Abeliuk, A., Atanasov, P., Bennett, S., Beger, A., Birari, S., Budescu, D., Catasta, M., Ferrara, E., Haravitch, L., Himmelstein, M., Hossain, T., Huang, Y., Jin, W., Joseph, R., Leskovec, J., Matsui, A., Mirtaheri, M., Ren, X., Satyukov, G., Sethi, R., Singh, A., Sosic, R., Steyvers, M., Szekely, P., Ward, M., Galstyan, A. Hybrid Forecasting of Geopolitical Events.
Hossain, T., Harutyunyan, H., Ning, Y., Kennedy, B., Ramakrishnan, N., Galstyan, A. (2022). Identifying geopolitical event precursors using attention-based LSTMs. Other.
P., Shyu, C., Putrd, K. T., Chen, H., Tsai, Y., Hossain, T., Jiang, W., Shae, Z. (2021). A Systematic Review of Federated Learning in the Healthcare Area: from the perspective of Data Properties and Applications. Other. 11(23), 11191.
Mosa, A., Thongmotai, C., Islam, H., Pal, T., Hossain, T., Mandhadi, V. (2021). Evaluation of Machine Learning Applications using Real-World EHR Data for Predicting Diabetes-Related Long-Term Complications. Journal of Business Analytics. 1-11.
Hossain, T., Gao, S., Kennedy, B., Galstyan, A., Natarajan, P. (2020). Forecasting violent events in the Middle East and North Africa using HMM and regularized autoregressive models. Other. 17(3), 269–283.
Chen, L., Hossain, T., Butler, P., Ramakrishnan, N., Prakash, B. (2016). Syndromic Surveillance of Flu on Twitter using Weakly Supervised Temporal Topic Models. Other. 30, 681–710.