| Actionable Recourse in Linear Classification B Ustun, A Spangher, Y Liu ACM Conference on Fairness, Accountability, and Transparency (FAT*’19), 2019 | 796 | 2019 |
| Supersparse Linear Integer Models for Optimized Medical Scoring Systems B Ustun, C Rudin Machine Learning 102 (3), 349-391, 2015 | 591* | 2015 |
| The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5 B Ustun, LA Adler, C Rudin, SV Faraone, TJ Spencer, P Berglund, ... JAMA Psychiatry 74 (5), 520-526, 2017 | 524 | 2017 |
| Interpretable Classification Models for Recidivism Prediction J Zeng, B Ustun, C Rudin Journal of the Royal Statistical Society: Series A, 2016 | 359 | 2016 |
| Predictive Multiplicity in Classification CT Marx, FP Calmon, B Ustun International Conference on Machine Learning, 2020 | 234 | 2020 |
| Developing an optimal short‐form of the PTSD Checklist for DSM‐5 (PCL‐5) KL Zuromski, B Ustun, I Hwang, TM Keane, BP Marx, MB Stein, ... Depression and Anxiety, 2019 | 197 | 2019 |
| Association of an Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients AF Struck, B Ustun, AR Ruiz, JW Lee, SM LaRoche, LJ Hirsch, EJ Gilmore, ... JAMA Neurology, 2017 | 193 | 2017 |
| Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice C Rudin, B Ustun Interfaces 48 (5), 449-466, 2018 | 181 | 2018 |
| Learning Optimized Risk Scores B Ustun, C Rudin Journal of Machine Learning Research 20 (150), 1-75, 2019 | 177 | 2019 |
| Fairness without Harm: Decoupled Classifiers with Preference Guarantees B Ustun, Y Liu, D Parkes International Conference on Machine Learning, 6373-6382, 2019 | 173 | 2019 |
| Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms. B Ustun, MB Westover, C Rudin, MT Bianchi Journal of Clinical Sleep Medicine, 2015 | 138 | 2015 |
| Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions H Wang, B Ustun, F Calmon International Conference on Machine Learning 97, 6618--6627, 2019 | 120 | 2019 |
| Optimized Risk Scores B Ustun, C Rudin Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 76 | 2017 |
| Predictive Multiplicity in Probabilistic Classification J Watson-Daniels, DC Parkes, B Ustun Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10306 …, 2023 | 66 | 2023 |
| Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach P Parpas, B Ustun, M Webster, QK Tran INFORMS Journal of Computing 27 (2), 358 - 377, 2015 | 62 | 2015 |
| Development and validation of a model to predict posttraumatic stress disorder and major depression after a motor vehicle collision HN Ziobrowski, CJ Kennedy, B Ustun, SL House, FL Beaudoin, X An, ... JAMA psychiatry 78 (11), 1228-1237, 2021 | 51 | 2021 |
| Rank List Sensitivity of Recommender Systems to Interaction Perturbations S Oh, B Ustun, J McAuley, S Kumar Proceedings of the 31st ACM International Conference on Information …, 2022 | 44 | 2022 |
| When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction VS Menon, M Ghassemi, B Ustun Proceedings of the 40th International Conference on Machine Learning, PMLR …, 2023 | 34* | 2023 |
| Concept Bottleneck Large Language Models CE Sun, T Oikarinen, B Ustun, TW Weng arXiv preprint arXiv:2412.07992, 2024 | 29 | 2024 |
| Operationalizing the search for less discriminatory alternatives in fair lending TB Gillis, V Meursault, B Ustun Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 28 | 2024 |
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
