Shenglei Chen
About
Shenglei Chen has authored 19 papers that have received a total of 291 indexed citations.
This includes 15 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (4 papers) and Machine Learning and Data Classification (4 papers). Shenglei Chen is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (4 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in China, Australia and Canada. Shenglei Chen's co-authors include Limin Wang, Geoffrey I. Webb, Minghui Sun, Linyuan Liu and Geng Chen and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems
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