| Introduction to semi-supervised learning X Zhu, AB Goldberg Springer Nature, 2022 | 3380 | 2022 |
| Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization AB Goldberg, X Zhu Proceedings of TextGraphs: The first workshop on graph based methods for …, 2006 | 467 | 2006 |
| Improving diversity in ranking using absorbing random walks X Zhu, AB Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007 | 324 | 2007 |
| Transduction with matrix completion: Three birds with one stone A Goldberg, B Recht, J Xu, R Nowak, J Zhu Advances in neural information processing systems 23, 2010 | 263 | 2010 |
| Multi-manifold semi-supervised learning A Goldberg, X Zhu, A Singh, Z Xu, R Nowak Artificial intelligence and statistics, 169-176, 2009 | 204 | 2009 |
| Dissimilarity in graph-based semi-supervised classification AB Goldberg, X Zhu, S Wright Artificial intelligence and statistics, 155-162, 2007 | 174 | 2007 |
| Improving early reading comprehension using embodied CAI AM Glenberg, AB Goldberg, X Zhu Instructional Science 39, 27-39, 2011 | 168 | 2011 |
| A text-to-picture synthesis system for augmenting communication X Zhu, AB Goldberg, M Eldawy, CR Dyer, B Strock AAAI 7, 1590-1595, 2007 | 166 | 2007 |
| May all your wishes come true: A study of wishes and how to recognize them AB Goldberg, N Fillmore, D Andrzejewski, Z Xu, B Gibson, X Zhu Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009 | 124 | 2009 |
| Online manifold regularization: A new learning setting and empirical study AB Goldberg, M Li, X Zhu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 123 | 2008 |
| Improving reading to improve math A Glenberg, J Willford, B Gibson, A Goldberg, X Zhu Scientific Studies of Reading 16 (4), 316-340, 2012 | 95 | 2012 |
| Oasis: Online active semi-supervised learning A Goldberg, X Zhu, A Furger, JM Xu Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 362-367, 2011 | 71 | 2011 |
| Synthesis lectures on artificial intelligence and machine learning X Zhu, AB Goldberg, R Brachman, T Dietterich Introduction to semi-supervised learning 3 (1), 1-130, 2009 | 64 | 2009 |
| New directions in semi-supervised learning AB Goldberg, X Zhu University of Wisconsin--Madison, 2010 | 44 | 2010 |
| Easy as ABC? Facilitating pictorial communication via semantically enhanced layout AB Goldberg, X Zhu, CR Dyer, M Eldawy, L Heng CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural …, 2008 | 38 | 2008 |
| Some new directions in graph-based semi-supervised learning X Zhu, AB Goldberg, T Khot 2009 IEEE International Conference on Multimedia and Expo, 1504-1507, 2009 | 37 | 2009 |
| Kernel regression with order preferences X Zhu, AB Goldberg Proceedings of the National Conference on Artificial Intelligence 22 (1), 681, 2007 | 37 | 2007 |
| Improving classification accuracy using automatically extracted training data A Fuxman, A Kannan, AB Goldberg, R Agrawal, P Tsaparas, J Shafer Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 30 | 2009 |
| Query classification using implicit labels AD Fuxman, A Kannan, AB Goldberg, R Agrawal US Patent 8,423,568, 2013 | 28 | 2013 |
| Toward text-to-picture synthesis AB Goldberg, J Rosin, X Zhu, CR Dyer NIPS 2009 Mini-Symposia on Assistive Machine Learning for People with …, 2009 | 25 | 2009 |
