@article{d6bf68955d5e434fab637a1da48e3a5e,
title = "Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis",
author = "Weibin Zhang and Xinyu Feng and Floris Goerlandt and Qing Liu",
note = "Funding Information: This research is supported by the National Natural Science Foundation of China (Grant no. 71971116 ). The contributions by the third author are supported by funding from the Canada First Research Excellence Fund, through the Ocean Frontier Institute. The work was further supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), through the Canada Research Chairs programme. The authors also acknowledge the thoughtful and constructive comments by three anonymous reviewers, which were instrumental for making improvements to an earlier version of this work. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",
year = "2020",
month = dec,
doi = "10.1016/j.ress.2020.107127",
language = "English",
volume = "204",
journal = "Reliability Engineering and System Safety",
issn = "0951-8320",
publisher = "Elsevier Limited",
}