| Image segmentation evaluation: A survey of unsupervised methods H Zhang, JE Fritts, SA Goldman computer vision and image understanding 110 (2), 260-280, 2008 | 1418 | 2008 |
| EM-DD: An improved multiple-instance learning technique Q Zhang, S Goldman Advances in neural information processing systems 14, 2001 | 960 | 2001 |
| Enhancing supervised learning with unlabeled data S Goldman, Y Zhou ICML, 327-334, 2000 | 769 | 2000 |
| On the complexity of teaching SA Goldman, MJ Kearns Journal of Computer and System Sciences 50 (1), 20-31, 1995 | 468 | 1995 |
| Democratic co-learning Y Zhou, S Goldman 16th IEEE International Conference on Tools with Artificial Intelligence …, 2004 | 337 | 2004 |
| Localized content based image retrieval R Rahmani, SA Goldman, H Zhang, J Krettek, JE Fritts Proceedings of the 7th ACM SIGMM international workshop on Multimedia …, 2005 | 315 | 2005 |
| Entropy-based objective evaluation method for image segmentation H Zhang, JE Fritts, SA Goldman Storage and Retrieval Methods and Applications for Multimedia 2004 5307, 38-49, 2003 | 295 | 2003 |
| Teaching a smart learner SA Goldman, HD Mathias Proceedings of the sixth annual conference on computational learning theory …, 1993 | 183 | 1993 |
| ISIS: Interface for a semantic information system KJ Goldman, SA Goldman, PC Kanellakis, SB Zdonik ACM SIGMOD Record 14 (4), 328-342, 1985 | 175 | 1985 |
| MISSL: Multiple-instance semi-supervised learning R Rahmani, SA Goldman Proceedings of the 23rd international conference on Machine learning, 705-712, 2006 | 174 | 2006 |
| Learning binary relations and total orders SA Goldman, RL Rivest, RE Schapire SIAM Journal on Computing 22 (5), 1006-1034, 1993 | 123 | 1993 |
| Multiple-instance learning of real-valued data RA Amar, DR Dooly, SA Goldman, Q Zhang ICML, 3-10, 2001 | 115 | 2001 |
| Multiple-instance learning of real-valued data DR Dooly, Q Zhang, SA Goldman, RA Amar Journal of Machine Learning Research 3 (Dec), 651-678, 2002 | 94 | 2002 |
| On-line analysis of the TCP acknowledgment delay problem DR Dooly, SA Goldman, SD Scott Journal of the ACM (JACM) 48 (2), 243-273, 2001 | 94 | 2001 |
| Can PAC learning algorithms tolerate random attribute noise? SA Goldman, RH Sloan Algorithmica 14 (1), 70-84, 1995 | 91 | 1995 |
| Tcp dynamic acknowledgment delay (extended abstract) theory and practice DR Dooly, SA Goldman, SD Scott Proceedings of the thirtieth annual ACM symposium on Theory of computing …, 1998 | 81 | 1998 |
| Online scheduling with hard deadlines SA Goldman, J Parwatikar, S Suri Journal of Algorithms 34 (2), 370-389, 2000 | 77 | 2000 |
| Asking questions to minimize errors NH Bshouty, SA Goldman, TR Hancock, S Matar Proceedings of the sixth annual conference on Computational learning theory …, 1993 | 66 | 1993 |
| Exact identification of read-once formulas using fixed points of amplification functions SA Goldman, MJ Kearns, RE Schapire SIAM Journal on Computing 22 (4), 705-726, 1993 | 63 | 1993 |
| A co-evaluation framework for improving segmentation evaluation H Zhang, JE Fritts, SA Goldman Signal Processing, Sensor Fusion, and Target Recognition XIV 5809, 420-430, 2005 | 59 | 2005 |
