Machine Learning and Asylum Adjudications: From Analysis of Variations to Outcome Predictions-Reference-Cited by-同舟云学术

Machine Learning and Asylum Adjudications: From Analysis of Variations to Outcome Predictions

Published:2022 Issue: Volume:10 Page:130955-130967
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Katsikouli Panagiota¹^ORCID,Byrne William H.²,Gammeltoft-Hansen Thomas²,Hogenhaug Anna Hojberg²,Moller Naja Holten¹,Nielsen Trine Rask¹^ORCID,Olsen Henrik Palmer²,Slaats Tijs¹

Affiliation:

1. Department of Computer Science (DIKU), UCPH, Copenhagen, Denmark

2. Faculty of Law, UCPH, Copenhagen, Denmark

Funder

Project Data Science for Asylum Legal Landscaping

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09984209.pdf?arnumber=9984209

Reference52 articles.

1. Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives

2. Argument Based Machine Learning Applied to Law

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4. Bots at the gate: A human rights analysis of automated decision-making in Canada’s immigration and refugee system;molnar,2018

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