Can machine learning help predict the outcome of asylum adjudications?-Reference-Cited by-同舟云学术

Can machine learning help predict the outcome of asylum adjudications?

Published:2017-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law
language:
Short-container-title:

Author:

Chen Daniel L.¹,Eagel Jess²

Affiliation:

1. Toulouse School of Economics

2. New York University CIMS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3086512.3086538

Reference9 articles.

1. Chen. "This Morning's Breakfast Last Night's Game: Detecting Extraneous Influences on Judging.". TSE Working Paper (????). Chen. "This Morning's Breakfast Last Night's Game: Detecting Extraneous Influences on Judging.". TSE Working Paper (????).

2. Hale Chen Dunn. 2017. Early Predictability of Asylum Court Decisions. TSE Working Paper 17--781 (March 2017). Hale Chen Dunn. 2017. Early Predictability of Asylum Court Decisions. TSE Working Paper 17--781 (March 2017).

3. Decision-making under the gambler's fallacy: Evidence from asylum judges, loan ocers, and baseball umpires;Shue Chen Moskowitz;The Quarterly Journal of Economics,2016

4. West Aiken Cohen Cohen. 2003. LaTeX User's Guide and Document Reference Manual. LAWRENCE ERLBAUM ASSOCIATES PUBLISHERS Mahwah New Jersey. West Aiken Cohen Cohen. 2003. LaTeX User's Guide and Document Reference Manual. LAWRENCE ERLBAUM ASSOCIATES PUBLISHERS Mahwah New Jersey.

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