In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction-Reference-Cited by-同舟云学术

In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction

Published:2022-03-28 Issue: Volume: Page:
ISSN:0748-4518
Container-title:Journal of Quantitative Criminology
language:en
Short-container-title:J Quant Criminol

Author:

Wang Caroline,Han Bin^ORCID,Patel Bhrij,Rudin Cynthia

Funder

Laura and John Arnold Foundation

Duke University

Lord Foundation of North Carolina

Publisher

Springer Science and Business Media LLC

Subject

Law,Pathology and Forensic Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10940-022-09545-w.pdf

Reference103 articles.

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3. Alfred B (2006) The crime drop in America: an explanation of some recent crime trends. J Scand Stud Criminol Crime Prev 7:17–35

4. American Law Institute (2017) Model penal code. https://www.ali.org/projects/show/sentencing/

5. Angelino E, Larus-Stone N, Alabi D, Seltzer M, Rudin C (2018) Certifiably optimal rule lists for categorical data. J Mach Learn Res 19:1–79

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