| Transfer learning L Torrey, J Shavlik Handbook of research on machine learning applications and trends: algorithms …, 2010 | 3573 | 2010 |
| Extracting refined rules from knowledge-based neural networks GG Towell, JW Shavlik Machine learning 13 (1), 71-101, 1993 | 1280 | 1993 |
| Knowledge-based artificial neural networks GG Towell, JW Shavlik Artificial intelligence 70 (1-2), 119-165, 1994 | 1278 | 1994 |
| Extracting tree-structured representations of trained networks MW Craven, JW Shavlik Advances in neural information processing systems, 24-30, 1996 | 1275 | 1996 |
| Refinement of approximate domain theories by knowledge-based neural networks GG Towell, JW Shavlik, MO Noordewier Proceedings of the eighth National conference on Artificial intelligence …, 1990 | 687 | 1990 |
| Readings in machine learning JW Shavlik, TG Dietterich Morgan Kaufmann, 1990 | 578 | 1990 |
| Using sampling and queries to extract rules from trained neural networks, in machine learning MW Craven, JW Shavlik Proceedings of the Eleventh International Conference on Machine Learning, 73-80, 1994 | 520* | 1994 |
| Symbolic and neural learning algorithms: An experimental comparison JW Shavlik, RJ Mooney, GG Towell Machine learning 6 (2), 111-143, 1991 | 519 | 1991 |
| Using sampling and queries to extract rules from trained neural networks MW Craven, JW Shavlik Proceedings of the 11th International Conference on Machine Learning, 37-45, 1994 | 513 | 1994 |
| Actively searching for an effective neural network ensemble DW Opitz, JW Shavlik Connection Science 8 (3-4), 337-354, 1996 | 478 | 1996 |
| Generating accurate and diverse members of a neural-network ensemble D Opitz, J Shavlik Advances in neural information processing systems 8, 1995 | 476 | 1995 |
| Using neural networks for data mining MW Craven, JW Shavlik Future generation computer systems 13 (2-3), 211-229, 1997 | 447 | 1997 |
| Tuffy: Scaling up statistical inference in markov logic networks using an rdbms F Niu, C Ré, AH Doan, J Shavlik arXiv preprint arXiv:1104.3216, 2011 | 370 | 2011 |
| Corleone: Hands-off crowdsourcing for entity matching C Gokhale, S Das, AH Doan, JF Naughton, N Rampalli, J Shavlik, X Zhu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 341 | 2014 |
| Creating advice-taking reinforcement learners R Maclin, JW Shavlik Machine Learning 22 (1), 251-281, 1996 | 301 | 1996 |
| Learning users' interests by unobtrusively observing their normal behavior J Goecks, J Shavlik Proceedings of the 5th international conference on Intelligent user …, 2000 | 297 | 2000 |
| DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. F Niu, C Zhang, C Ré, JW Shavlik VLDS 12, 25-28, 2012 | 279 | 2012 |
| Knowledge-based support vector machine classifiers G Fung, OL Mangasarian, J Shavlik Advances in neural information processing systems 15, 521-528, 2002 | 269 | 2002 |
| Training knowledge-based neural networks to recognize genes in DNA sequences M Noordewier, G Towell, J Shavlik Advances in neural information processing systems 3, 1990 | 254 | 1990 |
| An experimental comparison of symbolic and connectionist learning algorithms R Mooney, J Shavlik, G Towell, A Gove Readings in machine learning, 171-176, 1990 | 227 | 1990 |
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
