Semi-supervised clustering by seeding S Basu, A Banerjee, RJ Mooney Proceedings of the nineteenth international conference on machine learning …, 2002 | 1386 | 2002 |
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 | 1214 | 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 | 1132 | 2004 |
Active semi-supervision for pairwise constrained clustering S Basu, A Banerjee, RJ Mooney Proceedings of the 2004 SIAM international conference on data mining, 333-344, 2004 | 851 | 2004 |
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff Chapman and Hall/CRC, 2008 | 751 | 2008 |
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005 | 668 | 2005 |
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 558 | 2012 |
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo Proceedings of the VLDB Endowment 2 (2), 1426-1437, 2009 | 390 | 2009 |
Model-based overlapping clustering A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 307 | 2005 |
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu European conference on principles of data mining and knowledge discovery …, 2006 | 283 | 2006 |
Training-free structured diffusion guidance for compositional text-to-image synthesis W Feng, X He, TJ Fu, V Jampani, A Akula, P Narayana, S Basu, XE Wang, ... arXiv preprint arXiv:2212.05032, 2022 | 190 | 2022 |
Topic models over text streams: A study of batch and online unsupervised learning A Banerjee, S Basu Proceedings of the 2007 SIAM International Conference on Data Mining, 431-436, 2007 | 188 | 2007 |
Multi-way clustering on relation graphs A Banerjee, S Basu, S Merugu Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007 | 177 | 2007 |
A survey of clustering with instance level constraints I Davidson, S Basu ACM Transactions on Knowledge Discovery from data 1 (1-41), 2-42, 2007 | 143 | 2007 |
Predicting bounce rates in sponsored search advertisements D Sculley, RG Malkin, S Basu, RJ Bayardo Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 141 | 2009 |
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 | 124 | 2003 |
Probabilistic semi-supervised clustering with constraints S Basu, M Bilenko, A Banerjee, R Mooney | 105 | 2006 |
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005 | 95 | 2005 |
When is constrained clustering beneficial, and why KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006 | 92 | 2006 |
Layoutgpt: Compositional visual planning and generation with large language models W Feng, W Zhu, T Fu, V Jampani, A Akula, X He, S Basu, XE Wang, ... Advances in Neural Information Processing Systems 36, 2024 | 91 | 2024 |