| Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization Y Wang, H Huang, C Rudin, Y Shaposhnik Journal of Machine Learning Research 22 (201), 1-73, 2021 | 324 | 2021 |
| A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang Decision Support Systems 152, 113647, 2022 | 161* | 2022 |
| Globally-consistent rule-based summary-explanations for machine learning models: application to credit-risk evaluation C Rudin, Y Shaposhnik Journal of Machine Learning Research 24 (16), 1-44, 2023 | 46 | 2023 |
| Scheduling with testing R Levi, T Magnanti, Y Shaposhnik Management Science 65 (2), 776-793, 2019 | 40 | 2019 |
| Mining optimal policies: A pattern recognition approach to model analysis F Bravo, Y Shaposhnik INFORMS Journal on Optimization 2 (3), 145-166, 2020 | 29 | 2020 |
| The Pandora's Box Problem with Sequential Inspections A Aouad, J Ji, Y Shaposhnik Available at SSRN 3726167, 2020 | 13 | 2020 |
| Optimal ordering for a probabilistic one-time discount Y Shaposhnik, YT Herer, H Naseraldin European Journal of Operational Research 244 (3), 803-814, 2015 | 13 | 2015 |
| Interpretable prediction rules for congestion risk in intensive care units F Bravo, C Rudin, Y Shaposhnik, Y Yuan Stochastic Systems 14 (2), 111-130, 2024 | 9* | 2024 |
| Exploration vs. exploitation: reducing uncertainty in operational problems Y Shaposhnik Massachusetts Institute of Technology, 2016 | 9 | 2016 |
| An Interpretable Model with Globally Consistent Explanations for Credit Risk. arXiv 2018 C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang arXiv preprint arXiv:1811.12615, 1811 | 7 | 1811 |
| Stochastic selection problems with testing C Attias, R Krauthgamer, R Levi, Y Shaposhnik Available at SSRN 3076956, 2017 | 6 | 2017 |
| A polynomial-time approximation scheme for sequential batch testing of series systems D Segev, Y Shaposhnik Operations Research 70 (2), 1153-1165, 2022 | 5 | 2022 |
| Scheduling with testing of heterogeneous jobs R Levi, T Magnanti, Y Shaposhnik Management Science 70 (5), 2934-2953, 2024 | 3* | 2024 |
| A Dynamic Priority Rule for Congestion-Sensitive Service Systems Y Shaposhnik Available at SSRN 4684062, 2024 | | 2024 |
| Visualizing the Implicit Model Selection Tradeoff Z He, Y Shaposhnik Journal of Artificial Intelligence Research 76, 829-881, 2023 | | 2023 |
| Waiting-Time Prediction with Invisible Customers Y Kerner, R Roet-Green, A Senderovich, Y Shaposhnik, Y Yuan Available at SSRN 3946696, 2021 | | 2021 |
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University在 cs.duke.edu 的电子邮件经过验证
