W. Philip Kegelmeyer

	2012
32		David A. Cieslak, T. Ryan Hoens, Nitesh V. Chawla, W. Philip Kegelmeyer: Hellinger distance decision trees are robust and skew-insensitive. Data Min. Knowl. Discov. 24(1): 136-158 (2012)
	2011
31		Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer: COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. ICDM 2011: 41-50
30		Brett W. Bader, W. Philip Kegelmeyer, Peter A. Chew: Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning. ICDM Workshops 2011: 45-52
29		Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer: COMET: A Recipe for Learning and Using Large Ensembles on Massive Data CoRR abs/1103.2068: (2011)
28		Kevin W. Bowyer, Nitesh V. Chawla, Lawrence O. Hall, W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique CoRR abs/1106.1813: (2011)
27		Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Detecting and ordering salient regions. Data Min. Knowl. Discov. 22(1-2): 259-290 (2011)
	2009
26		Michael J. Procopio, W. Philip Kegelmeyer, Gregory Z. Grudic, Jane Mulligan: Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation. MCS 2009: 385-397
	2008
25		Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Detecting and ordering salient regions for efficient browsing. ICPR 2008: 1-4
24		John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Semi-supervised learning on large complex simulations. ICPR 2008: 1-4
23		Clayton Springer, W. Philip Kegelmeyer: Feature selection via decision tree surrogate splits. ICPR 2008: 1-5
22		Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Using classifier ensembles to label spatially disjoint data. Information Fusion 9(1): 120-133 (2008)
	2007
21		Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer: Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. MCS 2007: 161-170
20		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: A Comparison of Decision Tree Ensemble Creation Techniques. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 173-180 (2007)
	2006
19		Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. ICTAI 2006: 116-126
	2005
18		Wendy S. Koegler, W. Philip Kegelmeyer: FCLib: A Library for Building Data Analysis and Data Discovery Tools. IDA 2005: 192-203
17		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensembles of Classifiers from Spatially Disjoint Data. Multiple Classifier Systems 2005: 196-205
16		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensemble diversity measures and their application to thinning. Information Fusion 6(1): 49-62 (2005)
	2004
15		Eric T. Stanton, W. Philip Kegelmeyer: Creating and Managing "Lookmarks" in ParaView. INFOVIS 2004
14		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich: A Comparison of Ensemble Creation Techniques. Multiple Classifier Systems 2004: 223-232
13		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Ensembles from Bites: A Scalable and Accurate Approach. Journal of Machine Learning Research 5: 421-451 (2004)
	2003
12		Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich: Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. ICDM 2003: 533-536
11		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: A New Ensemble Diversity Measure Applied to Thinning Ensembles. Multiple Classifier Systems 2003: 306-316
10		Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer: Distributed learning with bagging-like performance. Pattern Recognition Letters 24(1-3): 455-471 (2003)
	2002
9		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer: Distributed Pasting of Small Votes. Multiple Classifier Systems 2002: 52-61
8		Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. (JAIR) 16: 321-357 (2002)
	2001
7		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD 2001: 50-59
6		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Bagging Is a Small-Data-Set Phenomenon. CVPR (2) 2001: 684-689
5		Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer: Feature Characterization in Scientific Datasets. IDA 2001: 1-12
	1999
4		Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Rules from Distributed Data. Large-Scale Parallel Data Mining 1999: 211-220
	1997
3		Kevin S. Woods, W. Philip Kegelmeyer, Kevin W. Bowyer: Combination of Multiple Classifiers Using Local Accuracy Estimates. IEEE Trans. Pattern Anal. Mach. Intell. 19(4): 405-410 (1997)
2		Mark C. Allmen, W. Philip Kegelmeyer: The computation of cloud base height from paired whole-sky imaging cameras. Mach. Vis. Appl. 9(4): 160-165 (1997)
	1996
1		Kevin S. Woods, Kevin W. Bowyer, W. Philip Kegelmeyer: Combination of Multiple Classifiers Using Local Accuracy Estimates. CVPR 1996: 391-396

Coauthor Index

1	Mark C. Allmen	[2]
2	Brett W. Bader	[30]
3	Robert E. Banfield	[11] [12] [14] [16] [17] [19] [20] [21] [22] [24] [25] [27]
4	Justin D. Basilico	[29] [31]
5	Divya Bhadoria	[12] [14]
6	Kevin W. Bowyer	[1] [3] [4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17] [19] [20] [21] [22] [24] [25] [27] [28]
7	Elizabeth Bradley	[5]
8	Nitesh V. Chawla	[4] [6] [7] [8] [9] [10] [13] [28] [32]
9	Peter A. Chew	[30]
10	David A. Cieslak	[32]
11	Nancy Collins	[5]
12	Kevin R. Dixon	[29] [31]
13	Steven Eschrich	[12] [14]
14	Gregory Z. Grudic	[26]
15	Larry O. Hall	[24] [25]
16	Lawrence O. Hall	[4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17] [19] [20] [21] [22] [27] [28]
17	T. Ryan Hoens	[32]
18	Wendy S. Koegler	[18]
19	Tamara G. Kolda	[29] [31]
20	John Nicholas Korecki	[24]
21	Thomas E. Moore	[6] [7] [9] [10]
22	Jane Mulligan	[26]
23	M. Arthur Munson	[29] [31]
24	Michael J. Procopio	[26]
25	Larry Shoemaker	[19] [22] [25] [27]
26	Clayton Springer	[6] [7] [10] [23]
27	Eric T. Stanton	[15]
28	Kevin S. Woods	[1] [3]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page