Cynthia Rudin

Duke University - Department of Computer Science

Associate Professor of Computer Science and Electrical and Computer Engineering

LSRC Building

Durham, NC 27708-0204

United States

SCHOLARLY PAPERS

9

DOWNLOADS
Rank 14,461

SSRN RANKINGS

Top 14,461

in Total Papers Downloads

6,331

SSRN CITATIONS
Rank 16,143

SSRN RANKINGS

Top 16,143

in Total Papers Citations

83

CROSSREF CITATIONS

4

Scholarly Papers (9)

1.

The Big Data Newsvendor: Practical Insights from Machine Learning

Published in Operations Research 67(1):90-108. https://doi.org/10.1287/opre.2018.1757
Number of pages: 55 Posted: 03 Feb 2015 Last Revised: 22 Aug 2019
Gah‐Yi Ban and Cynthia Rudin
Imperial College Business School and Duke University - Department of Computer Science
Downloads 3,371 (6,586)
Citation 35

Abstract:

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big data, newsvendor, machine learning, Sample Average Approximation, statistical learning theory, quantile regression

2.

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation

https://www.jmlr.org/papers/volume24/21-0488/21-0488.pdf
Number of pages: 44 Posted: 12 Jun 2019 Last Revised: 23 Jan 2023
Cynthia Rudin and Yaron Shaposhnik
Duke University - Department of Computer Science and University of Rochester - Simon Business School
Downloads 996 (42,618)
Citation 1

Abstract:

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Explainable Artificial Intelligence (XAI), Local Explanations, Interpretability, Credit Risk

3.

The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice

Cornell Law Review, Forthcoming, Duke Law School Public Law & Legal Theory Series No. 2023-03
Number of pages: 55 Posted: 22 Nov 2022 Last Revised: 17 Feb 2023
Brandon L. Garrett and Cynthia Rudin
Duke University School of Law and Duke University - Department of Computer Science
Downloads 775 (60,292)

Abstract:

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Artificial intelligence, interpretability, due process, risk assessments, criminal procedure, explainability, facial recognition, prediction, public safety, validation

4.

A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

MIT Sloan Research Paper
Number of pages: 19 Posted: 08 Jan 2011 Last Revised: 30 Jan 2011
Tyler McCormick, Cynthia Rudin and David Madigan
Columbia University - Department of Statistics, Duke University - Department of Computer Science and Columbia University - Department of Statistics
Downloads 494 (106,463)
Citation 14

Abstract:

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Hierarchical Bayesian Modeling, Association Rules, Medical Symptom Prediction

5.

Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs

Number of pages: 50 Posted: 15 May 2019 Last Revised: 07 Aug 2020
University of California, Los Angeles (UCLA) - Anderson School of Management, Duke University - Department of Computer Science, University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 361 (152,894)

Abstract:

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Congestion; Queueing systems; Prediction; Service operation; Machine learning; Interpretability; ICU

6.

A Learning Theory Framework for Association Rules and Sequential Events

Number of pages: 47 Posted: 21 Jun 2011
Duke University - Department of Computer Science, Massachusetts Institute of Technology (MIT), Sourcetone and Columbia University - Department of Statistics
Downloads 178 (307,419)
Citation 1

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7.

Why Interpretable Causal Inference is Important for High-Stakes Medical Decision Making in Neurology and How to Do it

Number of pages: 31 Posted: 25 Mar 2022
Duke University - Duke University School of Law, University of North Carolina (UNC) at Chapel Hill - Department of Statistics, Harvard University - Department of Neurology, Harvard University - Department of Neurology, Harvard University - Department of Neurology, Harvard University, University of Illinois at Chicago - Grainger College of Engineering, Harvard University - Department of Neurology, University of Wisconsin - Madison - Department of Neurology, Duke University - Duke University School of Law, Duke University - Department of Computer Science and Harvard University - Department of Neurology
Downloads 66 (617,383)

Abstract:

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Interpretability, Causal Inference, Machine Learning, Seizures, Critical Care, Epileptiform Activity

8.

Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning

Number of pages: 23 Posted: 21 Apr 2023
Duke University, affiliation not provided to SSRN, Duke University - Department of Computer Science, affiliation not provided to SSRN and Duke University
Downloads 50 (704,891)

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Machine learning, Mechanical performance, Lattice structures, Diverse photopolymer materials, Additive Manufacturing

9.

Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients: A Retrospective Cross-Sectional Study

Number of pages: 18 Posted: 26 Aug 2022
Duke University - Duke University School of Law, University of North Carolina (UNC) at Chapel Hill - Department of Statistics and Operation Research, Harvard University - Department of Neurology, Harvard University - Department of Neurology, Harvard University - Department of Neurology, Harvard University - Department of Neurology, Harvard University - Department of Epidemiology, University of Illinois at Chicago - Grainger College of Engineering, University of Wisconsin - Madison - Department of Neurology, Duke University - Duke University School of Law, Duke University - Department of Computer Science and Harvard University - Department of Neurology
Downloads 40 (771,763)

Abstract:

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Epileptiform activity, modified Rankin Scale, anti-seizure medications, causal inference