Bert Huang
About
Bert Huang has authored 33 papers that have received a total of 747 indexed citations.
This includes 25 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (8 papers), Bayesian Modeling and Causal Inference (6 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Bert Huang is often cited by papers focused on Machine Learning and Algorithms (8 papers), Bayesian Modeling and Causal Inference (6 papers) and Adaptation to Concept Drift in Data Streams (4 papers) and collaborates with scholars based in United States, Australia and China. Bert Huang's co-authors include Lise Getoor, Hal Daumé, Naren Ramakrishnan, Stephen H. Bach and Dan Goldwasser and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers in Human Behavior and Journal of Machine Learning Research
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