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Sugato Basu

Integrating constraints and metric learning in semi-supervised clustering
2004 · Mikhail Bilenko, Sugato Basu, et al. · International Conference on Machine Learning · 877
Semi-supervised Clustering by Seeding
2002 · Sugato Basu, Arindam Banerjee, et al. · 858
A probabilistic framework for semi-supervised clustering
2004 · Sugato Basu, Mikhail Bilenko, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 833
Active Semi-Supervision for Pairwise Constrained Clustering
2004 · Sugato Basu, Arindam Banerjee, et al. · SIAM International Conference on Data Mining · 625
Constrained Clustering
2008 · Sugato Basu, Ian Davidson, et al. · Chapman & Hall/CRC eBooks · 452
RolX
2012 · Keith Henderson, Brian Gallagher, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 395
Semi-supervised graph clustering: a kernel approach
2008 · Brian Kulis, Sugato Basu, et al. · Machine Learning · 342
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
2022 · Feng, Weixi, He, Xuehai, et al. · arXiv (Cornell University) · 288
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PLANET
2009 · Biswanath Panda, Joshua S. Herbach, et al. · Proceedings of the VLDB Endowment · 271
Model-based overlapping clustering
2005 · Arindam Banerjee, Chase Krumpelman, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 215
Semi-Supervised Learning
2009 · Sugato Basu · Springer eBooks · 204
Measuring Constraint-Set Utility for Partitional Clustering Algorithms
2006 · Ian Davidson, Kiri L. Wagstaff, et al. · Lecture notes in computer science · 195
Semi-supervised graph clustering
2005 · Brian Kulis, Sugato Basu, et al. · International Conference on Machine Learning · 178
Multi-way Clustering on Relation Graphs
2007 · Arindam Banerjee, Sugato Basu, et al. · SIAM International Conference on Data Mining · 126
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Predicting bounce rates in sponsored search advertisements
2009 · D. Sculley, Robert G. Malkin, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 119
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
2007 · Arindam Banerjee, Sugato Basu · SIAM International Conference on Data Mining · 96
Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering
2003 · Sugato Basu, Mikhail Bilenko, et al. · 80
Probabilistic Semi-Supervised Clustering with Constraints
2006 · Sugato Basu, Mikhail Bilenko, et al. · The MIT Press eBooks · 75
Semi-supervised clustering: probabilistic models, algorithms and experiments
2005 · Sugato Basu, Raymond J. Mooney · Texas ScholarWorks (Texas Digital Library) · 65
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T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
2024 · Jiachen Li, Weixi Feng, et al. · neural information processing systems · 54
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Evaluating the novelty of text-mined rules using lexical knowledge
2001 · Sugato Basu, Raymond J. Mooney, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 54
iLink
2007 · Jeffrey Davitz, Jiye Yu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 52
A Framework for Deep Constrained Clustering - Algorithms and Advances
2020 · Hongjing Zhang, Sugato Basu, et al. · Lecture notes in computer science · 51
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When is constrained clustering beneficial, and why?
2006 · Kiri L. Wagstaff, Sugato Basu, et al. · 48
User browsing models
2010 · Ramakrishnan Srikant, Sugato Basu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 47
Works count: 62
Citation count: 7,048
H-index: 30
I10-index: 42
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