Research: Management sciences

Qihang Lin
Lin, Q., Ma, R. & Yang, T. (2018). Level-Set Methods for Finite-Sum Constrained Convex Optimization. International Conference on Machine Learning (ICML).
Nick Street
Yasar Saglam, S., Street, N. (2018). Distant diversity in dynamic class prediction. Annals of Operations Research, 263(1-2), 5-19. DOI: 10.1007/s10479-016-2328-8.
Jeffrey W. Ohlmann
Camm, J. D., Cochran, J. J., Fry, M. J. & Ohlmann, J. W. (2018). Business Analytics. (3rd) Cengage Learning.
Johannes Ledolter
Dexter, F., Epstein, R., Ledolter, J. & Wanderer, J. (In Press). Interchangeability of counts of cases and hours of cases for quantifying a hospital's change in workload among four-week periods of 1 year. Journal of Clinical Anesthesia.
Johannes Ledolter
Berman, G., Muttuvelu, D., Berman, D., Larsen, J. I., Licht, R., Ledolter, J. & Kardon, R. (2018). Seasonal Affective Disorder and Retinal Photosensitivity: A Controlled Study. Acta Psychiatrica Scandinavica, 137, 231-240.
Tong Wang
Wang, T., Allareddy, V., Rampa, S. & Allareddy, V. (2018). Interpretable Patient Mortality Predictionwith Multi-value Rule Sets. London: KDD workshop on Machine Learning for Medicine and Healthcare.
Gautam Pant
Pant, G., Pant, S. (2018). Visibility of corporate websites: The role of information prosociality. Decision Support Systems, 106, 119-129.
Jennifer J. Blackhurst
Manhart, P., Blackhurst, J., Grawe, S., Mennecke, B. & Martens, B. (2018). Collaborative Innovation With Supply Chain Partners: Insights from Dyadic Case Studies.
Jennifer J. Blackhurst
Zhao, K., Scheibe, K., Blackhurst, J. & Kumar, A. (In Press). Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization. IEEE Transactions on Engineering Management.