| 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 | 610 | 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 | 521 | 2017 |
| Beyond Parity: Fairness Objectives for Collaborative Filtering S Yao, B Huang Advances in Neural Information Processing Systems, 2017 | 453 | 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 | 348 | 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 | 325 | 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 | 307 | 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 | 211 | 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 | 173 | 2011 |
| 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 | 168 | 2014 |
| 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 | 166 | 2015 |
| 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 | 148 | 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 | 137 | 2014 |
| Loopy belief propagation for bipartite maximum weight b-matching B Huang, T Jebara Artificial Intelligence and Statistics (AISTATS), 195--202, 2007 | 131 | 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 | 129 | 2014 |
| Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014 | 109 | 2014 |
| Learning a Distance Metric from a Network. B Shaw, B Huang, T Jebara Advances in Neural Information Processing Systems, 1899-1907, 2011 | 106 | 2011 |
| Cyberbullying Detection with Weakly Supervised Machine Learning E Raisi, B Huang IEEE/ACM International Conference on Advances in Social Network Analysis and …, 2017 | 101 | 2017 |
| Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016 | 99 | 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 | 96 | 2015 |
| Machine optimization devices, methods, and systems T Jebara, B Huang US Patent 8,631,044, 2014 | 68 | 2014 |
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa Cruzucsc.edu의 이메일 확인됨