| Toward an architecture for never-ending language learning A Carlson, J Betteridge, B Kisiel, B Settles, ER Hruschka, TM Mitchell Twenty-Fourth AAAI conference on artificial intelligence, 2010 | 2607 | 2010 |
| Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1393 | 2018 |
| Coupled semi-supervised learning for information extraction A Carlson, J Betteridge, RC Wang, ER Hruschka Jr, TM Mitchell Proceedings of the third ACM international conference on Web search and data …, 2010 | 622 | 2010 |
| Tweet sentiment analysis with classifier ensembles NFF Da Silva, ER Hruschka, ER Hruschka Jr Decision support systems 66, 170-179, 2014 | 596 | 2014 |
| ERH Jr., and TM Mitchell. Toward an architecture for never-ending language learning A Carlson, J Betteridge, B Kisiel, B Settles AAAI 2 (3), 6, 2010 | 249* | 2010 |
| Large language models sensitivity to the order of options in multiple-choice questions P Pezeshkpour, E Hruschka arXiv preprint arXiv:2308.11483, 2023 | 151 | 2023 |
| Combining Classification and Clustering for Tweet Sentiment Analysis LFS Coletta, NFF da Silva, ER Hruschka, ER Hruschka Jr 2014 Brazilian Conference on Intelligent Systems (BRACIS), 2014 | 136 | 2014 |
| Discovering Relations between Noun Categories TP Mohamed, ER Hruschka Jr, TM Mitchell Conference on Empirical Methods in Natural Language Processing - EMNLP, 2011 | 126 | 2011 |
| Coupling semi-supervised learning of categories and relations A Carlson, J Betteridge, ER Hruschka Jr, TM Mitchell Proceedings of the NAACL HLT 2009 Workshop on Semi-supervised Learning for …, 2009 | 117 | 2009 |
| Bayesian networks for imputation in classification problems ER Hruschka, ER Hruschka, NFF Ebecken Journal of Intelligent Information Systems 29, 231-252, 2007 | 99 | 2007 |
| Using unsupervised information to improve semi-supervised tweet sentiment classification NFF da Silva, LFS Coletta, ER Hruschka, ER Hruschka Jr Information Sciences 355, 348-365, 2016 | 97 | 2016 |
| Populating the semantic web by macro-reading internet text TM Mitchell, J Betteridge, A Carlson, E Hruschka, R Wang The Semantic Web-ISWC 2009: 8th International Semantic Web Conference, ISWC …, 2009 | 82 | 2009 |
| Towards efficient variables ordering for Bayesian networks classifier ER Hruschka Jr, NFF Ebecken Data & Knowledge Engineering 63 (2), 258-269, 2007 | 71 | 2007 |
| Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop GM Bressan, VA Oliveira, ER Hruschka Jr, MC Nicoletti Engineering Applications of Artificial Intelligence 22 (4-5), 579-592, 2009 | 67 | 2009 |
| Toward never ending language learning. J Betteridge, A Carlson, SA Hong, ER Hruschka Jr, ELM Law, TM Mitchell, ... AAAI spring symposium: Learning by reading and learning to read, 1-2, 2009 | 60 | 2009 |
| Feature selection by Bayesian networks ER Hruschka, ER Hruschka, NFF Ebecken Advances in Artificial Intelligence: 17th Conference of the Canadian Society …, 2004 | 52 | 2004 |
| Feature-weighted k-nearest neighbor classifier DP Vivencio, ER Hruschka Jr., MC Nicoletti, EB Santos, SDO Galvao 2007 IEEE Symposium on Foundations of Computational Intelligence, 481-486, 2007 | 51 | 2007 |
| Evaluating a nearest-neighbor method to substitute continuous missing values ER Hruschka, ERH Jr, NFF Ebecken AI 2003: Advances in Artificial Intelligence, 723-734, 2003 | 46 | 2003 |
| Towards efficient imputation by nearest-neighbors: A clustering-based approach ER Hruschka, ER Hruschka, NFF Ebecken AI 2004: Advances in Artificial Intelligence: 17th Australian Joint …, 2005 | 34 | 2005 |
| Prophet--a link-predictor to learn new rules on nell AP Appel, ERH Junior 2011 IEEE 11th International Conference on Data Mining Workshops, 917-924, 2011 | 31 | 2011 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
