| The hierarchical hidden Markov model: Analysis and applications S Fine, Y Singer, N Tishby Machine learning 32, 41-62, 1998 | 1419 | 1998 |
| Efficient SVM training using low-rank kernel representations S Fine, K Scheinberg Journal of Machine Learning Research 2 (Dec), 243-264, 2001 | 826 | 2001 |
| Coverage directed test generation for functional verification using bayesian networks S Fine, A Ziv Proceedings of the 40th annual Design Automation Conference, 286-291, 2003 | 325 | 2003 |
| Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval E Yom-Tov, S Fine, D Carmel, A Darlow Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 270 | 2005 |
| Distributed learning, communication complexity and privacy MF Balcan, A Blum, S Fine, Y Mansour Conference on Learning Theory, 26.1-26.22, 2012 | 208 | 2012 |
| Automatic churn prediction S Fine, E Yom-Tov, Y Richter US Patent App. 12/790,850, 2011 | 193 | 2011 |
| A hybrid GMM/SVM approach to speaker identification S Fine, J Navratil, RA Gopinath 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 190 | 2001 |
| Agnostic classification of Markovian sequences R El-Yaniv, S Fine, N Tishby Advances in Neural Information Processing Systems 10, 1997 | 71 | 1997 |
| Harnessing machine learning to improve the success rate of stimuli generation S Fine, A Freund, I Jaeger, Y Mansour, Y Naveh, A Ziv IEEE Transactions on Computers 55 (11), 1344-1355, 2006 | 52 | 2006 |
| Merging of results in distributed information retrieval D Carmel, A Darlow, S Fine, E Yom-Tov US Patent 7,984,039, 2011 | 49 | 2011 |
| Query by committee, linear separation and random walks S Fine, R Gilad-Bachrach, E Shamir Theoretical Computer Science 284 (1), 25-51, 2002 | 49 | 2002 |
| Enhancing GMM Scores using SVM" Hints" S Fine, J Navratil, RA Gopinath Seventh European Conference on Speech Communication and Technology, 2001 | 44 | 2001 |
| Discriminative feature selection via multiclass variable memory Markov model N Slonim, G Bejerano, S Fine, N Tishby EURASIP Journal on Advances in Signal Processing 2003, 1-10, 2003 | 39 | 2003 |
| Prediction of query difficulty for a generic search engine D Carmel, LA Darlow, S Fine, E Yom-Tov US Patent 7,406,462, 2008 | 38 | 2008 |
| Apparatus and method for coverage directed test S Fine, M Levinger, A Ziv US Patent 7,181,376, 2007 | 37 | 2007 |
| Probabilistic regression suites for functional verification S Fine, S Ur, A Ziv Proceedings of the 41st annual Design Automation Conference, 49-54, 2004 | 33* | 2004 |
| Combining multiple heuristics T Sayag, S Fine, Y Mansour Annual Symposium on Theoretical Aspects of Computer Science, 242-253, 2006 | 27 | 2006 |
| Digit recognition in noisy environments via a sequential GMM/SVM system S Fine, G Saon, RA Gopinath 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 27 | 2002 |
| Incremental learning and selective sampling via parametric optimization framework for SVM S Fine, K Scheinberg Advances in neural information processing systems 14, 2001 | 27 | 2001 |
| Juru at TREC 2004: Experiments with Prediction of Query Difficulty. E Yom-Tov, S Fine, D Carmel, A Darlow, E Amitay TREC, 2004 | 26 | 2004 |
