An interpretable XGBoost-based approach for Arctic navigation risk assessment
Release time:
Hits:
Impact Factor:3.8
Affiliation of Author(s):电子与信息工程学院
Journal:RISK ANALYSIS
Place of Publication:111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Co-author:Alvin Yao
Indexed by:Periodical papers
Volume:44
Issue:2
Page Number:459-476
ISSN No.:0272-4332
Translation or Not:no
Date of Publication:2024-01-01
Included Journals:CNKI、PUBMED、SCOPUS、WOS、EI