| Mechanism design for capacity planning under dynamic evolutions of asymmetric demand forecasts S Oh, Ö Özer Management Science 59 (4), 987-1007, 2013 | 129 | 2013 |
| A practical method for solving contextual bandit problems using decision trees AN Elmachtoub, R McNellis, S Oh, M Petrik arXiv preprint arXiv:1706.04687, 2017 | 66 | 2017 |
| Impact of cost uncertainty on pricing decisions under risk aversion S Oh, J Rhodes, R Strong European Journal of Operational Research 253 (1), 144-153, 2016 | 32 | 2016 |
| Training a machine to dynamically determine and communicate customized, product-dependent promotions with no or limited historical data over a network AN Elmachtoub, MR Ettl, S Oh, M Petrik, RK Ravi US Patent App. 14/826,914, 2017 | 28 | 2017 |
| Characterizing the structure of optimal stopping policies S Oh, Ö Özer Production and Operations Management 25 (11), 1820-1838, 2016 | 28 | 2016 |
| Top-k hierarchical classification S Oh Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 20 | 2017 |
| Predictive value of comments in the service engagement process S Carman, R Strong, A Chandra, S Oh, S Spangler, L Anderson, ... Proceedings of the American Society for Information Science and Technology …, 2012 | 18 | 2012 |
| Joint pricing and production decisions in an assemble-to-order system S Oh, K Sourirajan, M Ettl Manufacturing & Service Operations Management 16 (4), 529-543, 2014 | 17 | 2014 |
| Efficient algorithms to generate elemental images in integral imaging SC Oh, JS Hong, JH Park, BH Lee Journal of the Optical Society of Korea 8 (3), 115-121, 2004 | 11 | 2004 |
| Version visualization CS Campbell, S Oh, HR Strong Jr US Patent 8,595,201, 2013 | 8 | 2013 |
| Selecting representative models JL Blomberg, NHA Boyette, AA Chandra, SC Oh, HR Strong Jr US Patent App. 14/046,861, 2015 | 7 | 2015 |
| Determining feature importance and target population in the context of promotion recommendation AN Elmachtoub, M Ettl, S Oh, M Petrik, RK Ravi US Patent 10,546,320, 2020 | 6 | 2020 |
| Forecasting a time series based on actuals and a plan JL Blomberg, NHA Boyette, AA Chandra, SC Oh, HR Strong Jr US Patent 10,395,198, 2019 | 6 | 2019 |
| Segmentation based estimation method for demand models under censored data AN Elmachtoub, MR Ettl, S Oh, M Petrik, RK Ravi US Patent App. 15/251,183, 2018 | 6 | 2018 |
| Optimizing product portfolios under customer choice TR Ervolina, MR Ettl, S Ghosh, DL Gresh, S Oh US Patent App. 13/183,058, 2013 | 6 | 2013 |
| Interpretable rule generation using loss-preserving transformation A Dhurandhar, S Oh, M Petrik US Patent 10,776,855, 2020 | 5 | 2020 |
| Extrapolating a time series JL Blomberg, NHA Boyette, AA Chandra, SC Oh, HR Strong Jr US Patent App. 14/046,849, 2015 | 5 | 2015 |
| Forecasting workloads in multi-step, multi-route business processes S Oh, R Strong, A Chandra, J Blomberg 2014 IEEE International Conference on Services Computing, 355-361, 2014 | 5 | 2014 |
| Building an interpretable recommender via loss-preserving transformation A Dhurandhar, S Oh, M Petrik arXiv preprint arXiv:1606.05819, 2016 | 4 | 2016 |
| Method and system for identifying and visualizing work transfers using financial data JL Blomberg, NHA Boyette, AA Chandra, S Oh, HR Strong Jr US Patent 9,183,525, 2015 | 4 | 2015 |
