基本信息
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Bio
Colin Bellinger received the Ph.D. degree from the University of Ottawa, in 2016. He is a Research Officer in data science for complex systems with the National Research Council of Canada. He held a Postdoctoral Fellowship with the Alberta Machine Intelligence Institute, University of Alberta, Edmonton, Canada, and the Donald Hill Fellowship in computer science with Dalhousie University, Halifax, Canada. He has coauthored more than 20 articles in international conferences and journals focused on machine learning, data mining, and health and computational security, and received two best paper awards. He was the Program Chair of the Graduate Students’ AI Symposium, in 2017 and 2019. He has participated on numerous program committees and reviewed over ten international journals.
Research Interests
Papers共 69 篇Author StatisticsCo-AuthorSimilar Experts
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Canadian AI (2024)
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Journal of Computational Chemistryno. 15 (2024): 1289-1302
Chris Beeler,Sriram Ganapathi Subramanian,Kyle Sprague, Mark Baula, Nouha Chatti, Amanuel Dawit,Xinkai Li, Nicholas Paquin, Mitchell Shahen,Zihan Yang,Colin Bellinger,Mark Crowley,Isaac Tamblyn
DIGITAL DISCOVERYno. 4 (2024): 742-758
MACHINE LEARNINGno. 6 (2024): 3751-3769
European Conference on Machine Learningpp.242-257, (2023)
PROCEEDINGS OF THE 2023 SIAM INTERNATIONAL CONFERENCE ON DATA MINING, SDMpp.253-261, (2023)
Chris Beeler,Sriram Ganapathi Subramanian,Kyle Sprague, Nouha Chatti,Colin Bellinger, Mitchell Shahen, Nicholas Paquin, Mark Baula, Amanuel Dawit,Zihan Yang,Xinkai Li,Mark Crowley,Isaac Tamblyn
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Author Statistics
#Papers: 69
#Citation: 1113
H-Index: 19
G-Index: 32
Sociability: 5
Diversity: 3
Activity: 39
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