Ensemble machine learning models for aviation incident risk prediction-Reference-Cited by-同舟云学术

Ensemble machine learning models for aviation incident risk prediction

Published:2019-01 Issue: Volume:116 Page:48-63
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Zhang Xiaoge^ORCID,Mahadevan Sankaran

Funder

NASA

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference64 articles.

1. IATA forecasts passenger demand to double over 20 years, http://www.iata.org/pressroom/pr/Pages/2016-10-18-02.aspx, Accessed: 2017-12-28.

2. Aircraft re-routing optimization and performance assessment under uncertainty;Zhang;Decision Support Systems,2017

3. The Next Generation Air Transportation System (NextGen), https://www.nasa.gov/sites/default/files/atoms/files/nextgen_whitepaper_06_26_07.pdf, Accessed: 2018-02-08.

4. Systemic delay propagation in the US airport network;Fleurquin;Scientific Reports,2013

5. Error types and related error detection mechanisms in the aviation domain: an analysis of aviation safety reporting system incident reports;Sarter;The International Journal of Aviation Psychology,2000

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