Bert Huang, Ph.D.
Affiliations: | Computer Science | Columbia University, New York, NY |
Area:
Machine LearningWebsite:
http://berthuang.comGoogle:
"Bert Huang"Cross-listing: Neurotree
Parents
Sign in to add mentorTony Jebara | grad student | 2006-2011 | Columbia (Neurotree) | |
(Learning with Degree-Based Subgraph Estimation.) | ||||
Ansaf Salleb-Aouissi | grad student | 2006-2011 | (Computer Science Tree) | |
Lise C. Getoor | post-doc | 2011-2014 | (Computational Biology Tree) |
Children
Sign in to add traineeShuangfei Fan | grad student | Virginia Tech (Neurotree) | |
Elaheh Raisi | grad student | Virginia Tech (Neurotree) | |
Sirui Yao | grad student | 2015-2021 | Virginia Tech (Neurotree) |
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Publications
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Wang VM, Cheung CA, Kozar AJ, et al. (2020) Machine Learning Applications in Orthopaedic Imaging. The Journal of the American Academy of Orthopaedic Surgeons |
Ramesh A, Goldwasser D, Huang B, et al. (2020) Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields Ieee Transactions On Learning Technologies. 13: 107-122 |
Fan S, Huang B. (2019) Recurrent collective classification Knowledge and Information Systems. 60: 741-755 |
Raisi E, Huang B. (2018) Weakly supervised cyberbullying detection with participant-vocabulary consistency Social Network Analysis and Mining. 8: 38 |
Muthiah S, Huang B, Arredondo J, et al. (2016) Capturing Planned Protests from Open Source Indicators Ai Magazine. 37: 63 |
Fakhraei S, Huang B, Raschid L, et al. (2014) Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 11: 775-87 |
Ramesh A, Goldwasser D, Huang B, et al. (2014) Uncovering hidden engagement patterns for predicting learner performance in MOOCs Legal Studies. 157-158 |
Rudin C, Waltz D, Anderson RN, et al. (2012) Machine learning for the New York City power grid. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 328-45 |
Merler M, Huang B, Xie L, et al. (2012) Semantic model vectors for complex video event recognition Ieee Transactions On Multimedia. 14: 88-101 |