Bert Huang
Bert Huang
Assistant Professor, Tufts University Department of Computer Science
Verified email at - Homepage
Cited by
Cited by
Query-driven active surveying for collective classification
G Namata, B London, L Getoor, B Huang, U Edu
10th international workshop on mining and learning with graphs 8, 1, 2012
Hinge-loss markov random fields and probabilistic soft logic
SH Bach, M Broecheler, B Huang, L Getoor
Journal of Machine Learning Research 18 (109), 1–67, 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering
S Yao, B Huang
Advances in Neural Information Processing Systems, 2017
Machine learning for the New York City power grid
C Rudin, D Waltz, RN Anderson, A Boulanger, A Salleb-Aouissi, M Chow, ...
IEEE transactions on pattern analysis and machine intelligence 34 (2), 328-345, 2011
A short introduction to probabilistic soft logic
A Kimmig, S Bach, M Broecheler, B Huang, L Getoor
NIPS Workshop on probabilistic programming: Foundations and applications 1, 3, 2012
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators
N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Modeling learner engagement in MOOCs using probabilistic soft logic
A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor
NIPS workshop on data driven education 21, 62, 2013
Semantic model vectors for complex video event recognition
M Merler, B Huang, L Xie, G Hua, A Natsev
IEEE Transactions on Multimedia 14 (1), 88-101, 2011
Joint models of disagreement and stance in online debate
D Sridhar, J Foulds, B Huang, L Getoor, M Walker
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Learning latent engagement patterns of students in online courses
A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Hinge-loss Markov random fields: Convex inference for structured prediction
SH Bach, B Huang, B London, L Getoor
Uncertainty in Artificial Intelligence 1, 2, 2013
Network-based drug-target interaction prediction with probabilistic soft logic
S Fakhraei, B Huang, L Raschid, L Getoor
IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (5 …, 2014
Loopy belief propagation for bipartite maximum weight b-matching
B Huang, T Jebara
Artificial Intelligence and Statistics (AISTATS), 195--202, 2007
Understanding MOOC discussion forums using seeded LDA
A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor
Proceedings of the ninth workshop on innovative use of NLP for building …, 2014
Learning a Distance Metric from a Network.
B Shaw, B Huang, T Jebara
Advances in Neural Information Processing Systems, 1899-1907, 2011
Machine learning for power grid
RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ...
US Patent 8,751,421, 2014
Cyberbullying Detection with Weakly Supervised Machine Learning
E Raisi, B Huang
IEEE/ACM International Conference on Advances in Social Network Analysis and …, 2017
Cyberbullying identification using participant-vocabulary consistency
E Raisi, B Huang
arXiv preprint arXiv:1606.08084, 2016
Planned Protest Modeling in News and Social Media
S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ...
Conference on Innovative Applications of Artificial Intelligence (IAAI-15), 2015
Machine optimization devices, methods, and systems
T Jebara, B Huang
US Patent 8,631,044, 2014
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