W. Philip Kegelmeyer

	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 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 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	Robert E. Banfield	[11] [12] [14] [16] [17] [19] [20] [21] [22] [24] [25]
3	Divya Bhadoria	[12] [14]
4	Kevin W. Bowyer	[1] [3] [4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17] [19] [20] [21] [22] [24] [25]
5	Elizabeth Bradley	[5]
6	Nitesh V. Chawla	[4] [6] [7] [8] [9] [10] [13]
7	Nancy Collins	[5]
8	Steven Eschrich	[12] [14]
9	Gregory Z. Grudic	[26]
10	Larry O. Hall	[24] [25]
11	Lawrence O. Hall	[4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17] [19] [20] [21] [22]
12	Wendy S. Koegler	[18]
13	John Nicholas Korecki	[24]
14	Thomas E. Moore	[6] [7] [9] [10]
15	Jane Mulligan	[26]
16	Michael J. Procopio	[26]
17	Larry Shoemaker	[19] [22] [25]
18	Clayton Springer	[6] [7] [10] [23]
19	Eric T. Stanton	[15]
20	Kevin Woods	[1] [3]

Colors in the list of coauthors