Computational Advertising

• Hierarchical Mixtures of GLMs for Combining Multiple Ground Truths [PDF]
  Joseph Reisinger, Sugato Basu, Roberto Bayardo
  Proceedings of NIPS Workshop on Domain Adaptation, 2011.
• User Browsing Models: Relevance versus Examination [PDF]
  Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon
  Proceedings of 16th International ACM-SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010), 2010.
• PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce [PDF]
  Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo
  Proceedings of the 35th International Conference on Very Large Data Bases (VLDB-2009), 2009.
• Predicting Bounce Rates in Sponsored Search Advertisements [PDF]
  D. Sculley, Robert Malkin, Sugato Basu, Roberto J. Bayardo
  Proceedings of the 15th International ACM-SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2009), 2009, pp. 1325-1334.

 Social Networks

• A Social Query Model for Decentralized Search [PDF]
  Arindam Banerjee, Sugato Basu
  Second ACM Workshop on Social Network Mining and Analysis at the KDD Conference (SNAKDD-08), Las Vegas, Nevada, August 2008.
• iLink: Search and Routing in Social Networks [PDF]
  Jeffrey Davitz, Jiye Yu, Sugato Basu, David Gutelius, Alexandra Harris
  Proceedings of the Knowledge Discovery and Data Mining (KDD) Conference (KDD-2007), San Jose, California, August 2007.

 Book

• Constrained Clustering: Advances in Algorithms, Theory, and Applications [Book website] [Buy on Amazon]
  Editors: Sugato Basu, Ian Davidson, Kiri L. Wagstaff
  Publisher: CRC Press
  Year: 2008

 Book Chapters

• Constrained Partitional Clustering of Text Data: An Overview
  Sugato Basu and Ian Davidson
  In Text Mining: Classification, Clustering, and Applications
  Editors: Ashok Srivastava and Mehran Sahami
  Publisher: CRC Press
  Year: 2009
• Probabilistic Semi-supervised Clustering with Constraints [PDF] [Code]
  Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond Mooney
  In Semi-Supervised Learning
  Editors: Olivier Chapelle, Bernhard Scholkopf, Alexander Zien
  Publisher: MIT Press
  Year: 2006

PhD Thesis

• Semi-supervised Clustering: Probabilistic Models, Algorithms and Experiments [PDF]
  Sugato Basu
  Ph.D. thesis, Department of Computer Sciences, University of Texas at Austin, 2005.
  

 Clustering

• A Survey of Clustering with Instance Level Constraints [PDF]
  Ian Davidson and Sugato Basu
  In ACM Transactions on Knowledge Discovery from Data, 1-41, 2007.
  
• Multi-way Clustering on Relation Graphs [PDF]
  Arindam Banerjee, Sugato Basu, Srujana Merugu
  Proceedings of the SIAM International Conference on Data Mining (SDM-2007), Minneapolis, Minnesota, April 2007. (Best of SDM'07 Award)
• Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning [PDF]
  Arindam Banerjee, Sugato Basu
  Proceedings of the SIAM International Conference on Data Mining (SDM-2007), Minneapolis, Minnesota, April 2007.
  Longer version (with more details in model description, experiments and related work sections): [PDF]
• Measuring Constraint-Set Utility for Partitional Clustering Algorithms [PDF]
  Ian Davidson, Kiri L. Wagstaff, and Sugato Basu.
  Proceedings of the Tenth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2006), Berlin, Germany, September 2006.
• Model-based Overlapping Clustering [PDF]
  Arindam Banerjee, Chase Krumpelman, Sugato Basu, Raymond Mooney, Joydeep Ghosh
  Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005), Chicago, IL, August 2005.
• Semi-supervised Graph Clustering: A Kernel Approach [PDF]
  Brian Kulis, Sugato Basu, Inderjit Dhillon, Raymond J. Mooney
  Proceedings of the 22nd International Conference on Machine Learning (ICML-2005), Bonn, Germany, August 2005. (Distinguished Student Paper Award)
• A Probabilistic Framework for Semi-Supervised Clustering [PDF] [Code]
  Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
  Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, August 2004. (Best Research Paper Award)
• Integrating Constraints and Metric Learning in Semi-Supervised Clustering [PDF]
  Mikhail Bilenko, Sugato Basu, and Raymond J. Mooney
  Proceedings of the 21st International Conference on Machine Learning (ICML-2004), Banff, Canada, July 2004.
Earlier workshop version: Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering [PDF]
Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
Proceedings of the ICML-2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, pp.42-49, Washington DC, August 2003.
• A Comparison of Inference Techniques for Semi-supervised Clustering with Hidden Markov Random Fields [PDF]
  Mikhail Bilenko, and Sugato Basu
  Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004), Banff, Canada, July 2004.
• Semi-supervised Clustering with Limited Background Knowledge [PDF]
  Sugato Basu
  Proceedings of the 9th AAAI/SIGART Doctoral Consortium , San Jose, California, July 2004.
• Active Semi-Supervision for Pairwise Constrained Clustering [PDF]
  Sugato Basu, Arindam Banerjee, and Raymond J. Mooney
  Proceedings of the SIAM International Conference on Data Mining (SDM-2004), Lake Buena Vista, FL, April 2004.
• Semi-supervised Clustering for Intelligent User Management [PDF]
  Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
  Proceedings of the IBM Austin Center for Advanced Studies 5th Annual Austin CAS Conference, Austin, TX, February 2004.
• Semi-supervised Clustering by Seeding [PDF]
  Sugato Basu, Arindam Banerjee, and Raymond J. Mooney
  Proceedings of the 19th International Conference on Machine Learning (ICML-2002), pp. 19-26, Sydney, Australia, July 2002.

 Record Linkage

• Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping [PDF]
  Mikhail Bilenko, Sugato Basu, Mehran Sahami
  Proceedings of the 5th IEEE International Conference on Data Mining (ICDM-2005)

Rule Mining

• Evaluating the Novelty of Text-Mined Rules using Lexical Knowledge [PDF]
  Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, and Joydeep Ghosh
  Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), pp. 233-238, San Francisco, CA, August 2001.
  Earlier workshop version: Using Lexical Knowlege to Evaluate the Novelty of Rules Mined from Text [PDF]
  Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti and Joydeep Ghosh
  Proceedings of NAACL 2001 Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations, Pittsburg, PA, June 2001.

Optimization in VLSI Testing

• Synthesis of Low Power CED Circuits Based on Parity Codes [PDF]
  Shalini Ghosh, Sugato Basu and Nur A. Touba
  Proceedings of the VLSI Test Symposium (VTS-2005), Palm Springs, CA, May 2005.
• Reducing Power Consumption in Memory ECC Checkers [PDF]
  Shalini Ghosh, Sugato Basu and Nur A. Touba
  Proceedings of the IEEE International Test Conference (ITC-2004), Charlotte, NC, October 2004.
  Followup journal version: Selecting Error Correcting Codes to Minimize Power in Memory Checker Circuits [PDF]
  Shalini Ghosh, Sugato Basu and Nur A. Touba
  Journal of Low Power Testing, 2005.
• Low-power Weighted Pseudo-random BIST Using Special Scan Cells [PDF]
  Shalini Ghosh, Eric McDonald, Sugato Basu and Nur A. Touba
  Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI-2004), Boston, MA, April 2004.
• Joint Minimization of Power and Area in Scan Testing by Scan Cell Re-ordering [PDF]
  Shalini Ghosh, Sugato Basu and Nur A. Touba
  Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI-2003), Tampa, FL, February 2003.

PhD Proposal

• Semi-supervised Clustering: Learning with Limited User Feedback [PDF]
  Sugato Basu
  Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin, Nov 2003.
  Also appears as Technical Report UT-AI-TR-03-307, Artificial Intelligence Lab, University of Texas at Austin, January 2004.

MS Thesis

• Data Structures For A Mini-Threading Algorithm For Protein Structure Prediction [PDF]
  Sugato Basu
  M.S. thesis, Computer Engineering Department, University of California at Santa Cruz, July 2000.