Ian Davidson

	2012
48		Xiang Wang, Buyue Qian, Ian Davidson: On Constrained Spectral Clustering and Its Applications CoRR abs/1201.5338: (2012)
47		Buyue Qian, Xiang Wang, Ian Davidson: A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning CoRR abs/1202.0855: (2012)
	2011
46		Sean Gilpin, Ian Davidson: Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach. KDD 2011: 1136-1144
45		Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson: Multi-source domain adaptation and its application to early detection of fatigue. KDD 2011: 717-725
	2010
44		Buyue Qian, Ian Davidson: Semi-Supervised Dimension Reduction for Multi-Label Classification. AAAI 2010
43		Xiang Wang, Ian Davidson: Active Spectral Clustering. ICDM 2010: 561-568
42		Xiang Wang, Ian Davidson: Flexible constrained spectral clustering. KDD 2010: 563-572
41		M. Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, Naren Ramakrishnan: Unifying dependent clustering and disparate clustering for non-homogeneous data. KDD 2010: 593-602
40		Ian Davidson, S. S. Ravi, Leonid Shamis: A SAT-based Framework for Efficient Constrained Clustering. SDM 2010: 94-105
39		Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy: MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explorations 12(2): 47-49 (2010)
	2009
38		Xiang Wang, Ian Davidson: Discovering Contexts and Contextual Outliers Using Random Walks in Graphs. ICDM 2009: 1034-1039
37		Ian Davidson: Knowledge Driven Dimension Reduction for Clustering. IJCAI 2009: 1034-1039
36		Zijie Qi, Ian Davidson: A principled and flexible framework for finding alternative clusterings. KDD 2009: 717-726
35		Ian Davidson: Clustering with Constraints. Encyclopedia of Database Systems 2009: 393-396
34		Ian Davidson, S. S. Ravi: Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results. Data Min. Knowl. Discov. 18(2): 257-282 (2009)
33		Ian Davidson, Giri Kumar Tayi: Data preparation using data quality matrices for classification mining. European Journal of Operational Research 197(2): 764-772 (2009)
	2008
32		Ian Davidson, Zijie Qi: Finding Alternative Clusterings Using Constraints. ICDM 2008: 773-778
	2007
31		Ian Davidson, S. S. Ravi: Intractability and clustering with constraints. ICML 2007: 201-208
30		Ian Davidson, S. S. Ravi, Martin Ester: Efficient incremental constrained clustering. KDD 2007: 240-249
29		Rong Ge, Martin Ester, Wen Jin, Ian Davidson: Constraint-driven clustering. KDD 2007: 320-329
28		Wei Fan, Ian Davidson: On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples. SDM 2007
27		Ian Davidson, S. S. Ravi: The complexity of non-hierarchical clustering with instance and cluster level constraints. Data Min. Knowl. Discov. 14(1): 25-61 (2007)
26		Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang: Editorial: Special issue on mining low-quality data. Knowl. Inf. Syst. 11(2): 131-136 (2007)
	2006
25		Ian Davidson, S. S. Ravi: Identifying and Generating Easy Sets of Constraints for Clustering. AAAI 2006: 336-341
24		Kiri Wagstaff, Sugato Basu, Ian Davidson: When Is Constrained Clustering Beneficial, and Why?. AAAI 2006
23		Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li: Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. ICDM 2006: 753-764
22		Wei Fan, Ian Davidson: Reverse testing: an efficient framework to select amongst classifiers under sample selection bias. KDD 2006: 147-156
21		Ian Davidson, Kiri Wagstaff, Sugato Basu: Measuring Constraint-Set Utility for Partitional Clustering Algorithms. PKDD 2006: 115-126
20		Ian Davidson, Wei Fan: When Efficient Model Averaging Out-Performs Boosting and Bagging. PKDD 2006: 478-486
	2005
19		Minoo Aminian, Ian Davidson: Active Learning with Partially Labeled Data via Bias Reduction. FLAIRS Conference 2005: 810-811
18		Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu: An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. ICDM 2005: 605-608
17		Ashwin Satyanarayana, Ian Davidson: A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition. ISMIS 2005: 631-640
16		Ian Davidson, S. S. Ravi: Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results. PKDD 2005: 59-70
15		Ian Davidson, S. S. Ravi: Clustering with Constraints: Feasibility Issues and the k-Means Algorithm. SDM 2005
	2004
14		Ian Davidson: An Ensemble Technique for Stable Learners with Performance Bounds. AAAI 2004: 330-335
13		Ke Yin, Ian Davidson: Bayesian Model Averaging Across Model Spaces via Compact Encoding. AMAI 2004
12		Ian Davidson, Minoo Aminian: Using the Central Limit Theorem for Belief Network Learning. AMAI 2004
11		Ke Yin, Ian Davidson: An Information Theoretic Optimal Classifier for Semi-supervised Learning. IDEAL 2004: 740-745
10		Ke Yin, Ian Davidson: Bayesian Model Averaging Across Model Spaces via Compact Encoding. ISAIM 2004
9		Ian Davidson, Minoo Aminian: Using the Central Limit Theorem for Belief Network Learning. ISAIM 2004
8		Ian Davidson, Goutam Paul: Locating secret messages in images. KDD 2004: 545-550
7		Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi: A general approach to incorporate data quality matrices into data mining algorithms. KDD 2004: 794-798
6		Ke Yin, Ian Davidson: Further Applications of a Particle Visualization Framework. PAKDD 2004: 704-710
	2003
5		George Berg, Ian Davidson, Ming-Yuan Duan, Goutam Paul: Searching for Hidden Messages: Automatic Detection of Steganography. IAAI 2003: 51-56
	2002
4		Ian Davidson: Visualizing Clustering Results. SDM 2002
	2000
3		Ian Davidson: Minimum Message Length Clustering Using Gibbs Sampling. UAI 2000: 160-167
	1996
2		Arkadi Kosmynin, Ian Davidson: Using Background Contextual Knowledge for Document Representation. PODP 1996: 123-133
	1985
1		Ian Davidson: Testing conformance to OSI standards. Computer Communications 8(4): 170-179 (1985)

Coauthor Index

1	Minoo Aminian	[9] [12] [19]
2	Sugato Basu	[21] [24]
3	George Berg	[5]
4	Rita Chattopadhyay	[45]
5	Ming-Yuan Duan	[5]
6	Jennifer G. Dy	[39]
7	Martin Ester	[29] [30]
8	Wei Fan	[18] [20] [22] [23] [28] [45]
9	Xiaoli Z. Fern (Xiaoli Fern, Xiaoli Zhang Fern)	[39]
10	Rong Ge	[29]
11	Sean Gilpin	[46]
12	Ashish Grover	[7]
13	Richard F. Helm	[41]
14	M. Shahriar Hossain	[41]
15	Wen Jin	[29]
16	Taghi M. Khoshgoftaar	[26]
17	Arkadi Kosmynin	[2]
18	Xiangshang Li	[23]
19	Sethuraman Panchanathan	[45]
20	Goutam Paul	[5] [8]
21	Zijie Qi	[32] [36]
22	Buyue Qian	[44] [47] [48]
23	Naren Ramakrishnan	[41]
24	S. S. Ravi	[15] [16] [25] [27] [30] [31] [34] [40]
25	Ashwin Satyanarayana	[7] [17]
26	Leonid Shamis	[40]
27	Satish Tadepalli	[41]
28	Giri Kumar Tayi	[7] [33]
29	Kiri Wagstaff (Kiri L. Wagstaff)	[21] [24]
30	Xiang Wang	[38] [42] [43] [47] [48]
31	Layne T. Watson	[41]
32	Jieping Ye	[45]
33	Ke Yin	[6] [10] [11] [13]
34	Philip S. Yu	[18]
35	Xiaojing Yuan	[23]
36	Bianca Zadrozny	[18]
37	Kun Zhang	[23]
38	Shichao Zhang	[26]
39	Xingquan Zhu	[26]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page