Ian Davidson

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S. S. RaviResearch Professor, Biocomplexity Institute, University of VirginiaVerified email at virginia.edu
Xiang WangGoogleVerified email at google.com
Sugato BasuDistinguished Scientist at GoogleVerified email at google.com
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupVerified email at umich.edu
Peter WalkerDefense Health AgencyVerified email at health.mil
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Kiri WagstaffVerified email at wkiri.com
Goutam PaulAssociate Professor, Cryptology & Security Research Unit (CSRU), Indian Statistical InstituteVerified email at ieee.org
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityVerified email at med.cornell.edu
Qian SunGoogleVerified email at google.com
Xingquan (Hill) ZhuIEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida Atlantic UniversityVerified email at fau.edu
Owen CarmichaelPennington Biomedical Research CenterVerified email at pbrc.edu
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Ashwin SatyanarayanaProfessor of Computer Systems Technology, New York City College of Technology (CUNY)Verified email at citytech.cuny.edu
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
Naren RamakrishnanThomas L. Phillips Professor, Virginia TechVerified email at cs.vt.edu
Martin EsterDistinguished Professor of Computer Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Zheng WangUniversity of Michigan, Ann ArborVerified email at umich.edu
Jun WangVerified email at ee.columbia.edu

Ian Davidson

Professor of Computer Science, University of California - Davis

Verified email at cs.ucdavis.edu - Homepage

Data Mining Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff CRC Press, 2008	757	2008
Clustering With Constraints: Feasibility Issues and the k-Means Algorithm I Davidson, SS Ravi Proceedings of the 2005 SIAM international conference on data mining, 138-149, 2005	438	2005
A survey of clustering with instance level constraints I Davidson, S Basu ACM Transactions on Knowledge Discovery from Data, 1-41, 2007	405*	2007
Agglomerative hierarchical clustering with constraints: Theoretical and empirical results I Davidson, S Ravi Knowledge Discovery in Databases: PKDD 2005, 59-70, 2005	382	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	286	2006
Visual data mining: Techniques and tools for data visualization and mining T Soukup, I Davidson John Wiley & Sons, Inc., 2002	271	2002
Visual data mining: techniques and tools for data visualization and mining TSI Davidson, T Soukup Wiley Publishing, Inc, 2002	271*	2002
Flexible constrained spectral clustering X Wang, I Davidson Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	267	2010
Multisource domain adaptation and its application to early detection of fatigue R Chattopadhyay, Q Sun, W Fan, I Davidson, S Panchanathan, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-26, 2012	261	2012
On constrained spectral clustering and its applications X Wang, B Qian, I Davidson Data Mining and Knowledge Discovery 28, 1-30, 2014	245	2014
Knowledge Discovery and Data Mining: Challenges and Realities: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	240	2007
Constrained Clustering - Introduction KW S Basu, I Davidson CRC Press, 2008	226*	2008
Accelerating online cp decompositions for higher order tensors S Zhou, NX Vinh, J Bailey, Y Jia, I Davidson Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	143	2016
A principled and flexible framework for finding alternative clusterings ZJ Qi, I Davidson Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	127	2009
Understanding K-means non-hierarchical clustering I Davidson SUNY Albany Technical Report 2, 2-14, 2002	121	2002
An improved categorization of classifier's sensitivity on sample selection bias W Fan, I Davidson, B Zadrozny, PS Yu Fifth IEEE international conference on data mining (ICDM'05), 4 pp., 2005	115	2005
Network discovery via constrained tensor analysis of fmri data I Davidson, S Gilpin, O Carmichael, P Walker Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	113	2013
Joint transfer and batch-mode active learning R Chattopadhyay, W Fan, I Davidson, S Panchanathan, J Ye International conference on machine learning, 253-261, 2013	112	2013
Active spectral clustering X Wang, I Davidson Data Mining (ICDM), 2010 IEEE 10th International Conference on, 561-568, 2010	109	2010
Finding alternative clusterings using constraints I Davidson, Z Qi 2008 Eighth IEEE International Conference on Data Mining, 773-778, 2008	109	2008

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