| Adaptive duplicate detection using learnable string similarity measures M Bilenko, RJ Mooney Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 1365 | 2003 |
| Integrating constraints and metric learning in semi-supervised clustering M Bilenko, S Basu, RJ Mooney Proceedings of the twenty-first international conference on Machine learning, 11, 2004 | 1198 | 2004 |
| A probabilistic framework for semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 1123 | 2004 |
| Adaptive name matching in information integration M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg IEEE Intelligent Systems 18 (5), 16-23, 2003 | 749 | 2003 |
| Scaling up machine learning: Parallel and distributed approaches R Bekkerman, M Bilenko, J Langford Cambridge University Press, 2011 | 597 | 2011 |
| Scaling up machine learning: Parallel and distributed approaches R Bekkerman, M Bilenko, J Langford Cambridge University Press, 2011 | 597 | 2011 |
| Adaptive blocking: Learning to scale up record linkage M Bilenko, B Kamath, RJ Mooney Sixth International Conference on Data Mining (ICDM'06), 87-96, 2006 | 355 | 2006 |
| Search query transformation using direct manipulation RW White, M Bilenko, RL Rounthwaite, DS Morris US Patent App. 11/949,773, 2009 | 290 | 2009 |
| Studying the use of popular destinations to enhance web search interaction RW White, M Bilenko, S Cucerzan Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 255 | 2007 |
| Mining the search trails of surfing crowds: identifying relevant websites from user activity M Bilenko, RW White Proceedings of the 17th international conference on World Wide Web, 51-60, 2008 | 207 | 2008 |
| Crypto-nets: Neural networks over encrypted data P Xie, M Bilenko, T Finley, R Gilad-Bachrach, K Lauter, M Naehrig arXiv preprint arXiv:1412.6181, 2014 | 193 | 2014 |
| Adaptive product normalization: Using online learning for record linkage in comparison shopping M Bilenko, S Basil, M Sahami Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 152 | 2005 |
| On evaluation and training-set construction for duplicate detection M Bilenko, RJ Mooney Proceedings of the KDD-2003 Workshop on Data Cleaning, Record Linkage, and …, 2003 | 132 | 2003 |
| Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the ICML-2003 workshop on the continuum from labeled to …, 2003 | 118 | 2003 |
| Learning to combine trained distance metrics for duplicate detection in databases M Bilenko, RJ Mooney Technical Report AI 02-296, Artificial Intelligence Laboratory, University …, 2002 | 111 | 2002 |
| Probabilistic Semi-Supervised Clustering with Constraints. S Basu, M Bilenko, A Banerjee, RJ Mooney Semi-supervised learning, 73-102, 2006 | 106 | 2006 |
| Predictive client-side profiles for personalized advertising M Bilenko, M Richardson Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 92 | 2011 |
| Neural networks for encrypted data R Gilad-Bachrach, TW Finley, M Bilenko, P Xie US Patent 9,946,970, 2018 | 82 | 2018 |
| Identifying relevant information sources from user activity M Bilenko, RW White US Patent App. 12/057,491, 2009 | 69 | 2009 |
| Selection of negative samples for one-class matrix factorization HF Yu, M Bilenko, CJ Lin Proceedings of the 2017 SIAM International Conference on Data Mining, 363-371, 2017 | 65 | 2017 |
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
