| Subset Selection for Multiple Linear Regression via Optimization YW Park, D Klabjan Journal of Global Optimization 77, 543-574, 2020 | 54* | 2020 |
| An Analysis of the Ripple Effect for Disruptions Occurring in Circular Flows of a Supply Chain Network YW Park, J Blackhurst, C Paul, KP Scheibe International Journal of Production Research 60 (15), 4693-4711, 2022 | 46 | 2022 |
| Algorithms for Generalized Cluster-wise Linear Regression YW Park, Y Jiang, D Klabjan, L Williams INFORMS Journal on Computing 29 (2), 301-317, 2017 | 45 | 2017 |
| A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation S Chung, YW Park, T Cheong Pattern Recognition 108, 107565, 2020 | 36 | 2020 |
| Bayesian Network Learning via Topological Order YW Park, D Klabjan Journal of Machine Learning Research 18 (99), 1-32, 2017 | 29 | 2017 |
| Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis YW Park, D Klabjan 2016 IEEE 16th International Conference on Data Mining (ICDM), 430-438, 2016 | 26 | 2016 |
| Advancing Customer Diversity, Equity, and Inclusion: Measurement, Stakeholder Influence, and the Role of Marketing YW Park, GB Voss, ZG Voss Journal of the Academy of Marketing Science 51, 174-197, 2023 | 21 | 2023 |
| Lot Sizing with Minimum Order Quantity YW Park, D Klabjan Discrete Applied Mathematics 181, 235-254, 2015 | 20 | 2015 |
| Modeling Carrier Truckload Freight Rates in Spot Markets C Lindsey, A Frei, H Alibabai, HS Mahmassani, YW Park, D Klabjan, ... Technical Report, 2013 | 18 | 2013 |
| Online Pricing and Capacity Sourcing for Third-Party Logistics Providers C Lindsey, A Frei, HS Mahmassani, H Alibabai, YW Park, D Klabjan, ... Technical Report, 2013 | 15 | 2013 |
| Predictive Analytics to Improve Pricing and Sourcing in Third-Party Logistics Operations C Lindsey, A Frei, H Mahmassani, YW Park, D Klabjan, M Reed, ... Transportation Research Record: Journal of the Transportation Research Board …, 2014 | 12 | 2014 |
| Three Iteratively Reweighted Least Squares Algorithms for L1-norm Principal Component Analysis YW Park, D Klabjan Knowledge and Information Systems 54 (3), 541 - 565, 2018 | 9 | 2018 |
| Optimization for L1-Norm Error Fitting via Data Aggregation YW Park INFORMS Journal on Computing 33 (1), 120-142, 2021 | 8 | 2021 |
| An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning YW Park, D Klabjan Machine Learning 105 (2), 199-232, 2016 | 8 | 2016 |
| MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components YW Park INFORMS Journal on Computing 32 (3), 600-619, 2020 | 4 | 2020 |
| Optimization for regression, PCA, and SVM: Optimality and scalability YW Park Northwestern University, 2015 | 4 | 2015 |
| Lifting for Mixed Integer Programs with Variable Upper Bounds S Shebalov, YW Park, D Klabjan Discrete Applied Mathematics 186, 226-250, 2015 | 3 | 2015 |
| A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List J Kim, YW Park, AJ Williams Decision Sciences 52 (2), 455-482, 2021 | 2 | 2021 |
| Simultaneous Estimation of Heterogeneous, Flexible Distance Decay Functions to Better Understand and Predict How Far People Will Go to Be Entertained GB Voss, YW Park Available at SSRN 4310840, 2022 | 1 | 2022 |
| Discordance minimization-based imputation algorithms for missing values in rating data YW Park, J Kim, D Zhu Machine Learning 113, 241-279, 2024 | | 2024 |
