Research: Management sciences

Xun Zhou
Vahedian, A., Zhou, X., Tong, L., Street, N. & Li, Y. (In Press). Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. The Thirty-Third AAAI Conference on Artificial Intelligence.
Kang Zhao
Cohn, A. M., Amato, M. S., Zhao, K., Cha, S., Wang, X., Pearson, J. L., Papandonatos, G. D. & Graham, A. L. (In Press). Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality. Alcoholism: Clinical and Experimental Research.
Samuel A. Burer
Burer, S. A., Piccialli, V. (2019). Three Methods for Robust Grading. European Journal on Operational Research, 272, 364-371. DOI: 10.1016/j.ejor.2018.06.019.
Kang Zhao
Wang, X., Zhao, K., Cha, S., Amato, M. S., Cohn, A. M., Pearson, J. L., Papandonatos, G. D. & Graham, A. L. (2019). Mining User-Generated Content in an Online Smoking Cessation Community to Identify Smoking Status: A Machine Learning Approach. Decision Support Systems, 116, 26-34. DOI: https://doi.org/10.1016/j.dss.2018.10.005.
Xun Zhou
Evans, M. R., Oliver, D., Yang, K., Zhou, X., Ali, R. Y. & Shekhar, S. (2019). Enabling spatial big data via CyberGIS: Challenges and opportunities. In S. Wang , M. F. Goodchild (Eds.) CyberGIS for Geospatial Discovery and Innovation. pp. 143-170. Springer.
Tong Wang
Wang, T. (2018). Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations. Montreal: The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS).
Tong Wang
Chen, C., Lin, K., Rudin, C., Shaposhnik, Y., Wang, S. & Wang, T. (2018). An Interpretable Model with Globally Consistent Explanations for Credit Risk. NIPS 2018 Workshop on Challenges andOpportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, andPrivacy.
Tong Wang
Li, Y., Wang, T. (2018). Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes. NIPS Workshop on AI for Social Good.
Gautam Pant
Kim, I., Pant, G. (In Press). Predicting Web Site Audience Demographics Using Content and Design Cues. Information & Management.