William Philip Kegelmeyer
William Philip Kegelmeyer
Verified email at sandia.gov - Homepage
Title
Cited by
Cited by
Year
SMOTE: synthetic minority over-sampling technique
NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer
Journal of artificial intelligence research 16, 321-357, 2002
166432002
Current status of the digital database for screening mammography
M Heath, K Bowyer, D Kopans, P Kegelmeyer, R Moore, K Chang, ...
Digital mammography, 457-460, 1998
18221998
Combination of multiple classifiers using local accuracy estimates
K Woods, WP Kegelmeyer, K Bowyer
IEEE transactions on pattern analysis and machine intelligence 19 (4), 405-410, 1997
13141997
A comparison of decision tree ensemble creation techniques
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
IEEE transactions on pattern analysis and machine intelligence 29 (1), 173-180, 2006
5222006
Computer-aided mammographic screening for spiculated lesions.
WP Kegelmeyer Jr, JM Pruneda, PD Bourland, A Hillis, MW Riggs, ...
Radiology 191 (2), 331-337, 1994
4641994
Exploring topic coherence over many models and many topics
K Stevens, P Kegelmeyer, D Andrzejewski, D Buttler
Proceedings of the 2012 joint conference on empirical methods in natural …, 2012
4342012
Ensemble diversity measures and their application to thinning
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
Information Fusion 6 (1), 49-62, 2005
2762005
Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography
KS Woods, JL Solka, CE Priebe, WP Kegelmeyer Jr, CC Doss, ...
State of The Art in Digital Mammographic Image Analysis, 213-231, 1994
2601994
Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography
KS Woods, JL Solka, CE Priebe, WP Kegelmeyer Jr, CC Doss, ...
State of The Art in Digital Mammographic Image Analysis, 213-231, 1994
2601994
Data mining for scientific and engineering applications
RL Grossman, C Kamath, P Kegelmeyer, V Kumar, R Namburu
Springer Science & Business Media, 2013
2342013
Hellinger distance decision trees are robust and skew-insensitive
DA Cieslak, TR Hoens, NV Chawla, WP Kegelmeyer
Data Mining and Knowledge Discovery 24 (1), 136-158, 2012
2172012
Learning ensembles from bites: A scalable and accurate approach
NV Chawla, LO Hall, KW Bowyer, WP Kegelmeyer
The Journal of Machine Learning Research 5, 421-451, 2004
1752004
A new ensemble diversity measure applied to thinning ensembles
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
International Workshop on Multiple Classifier Systems, 306-316, 2003
1012003
Method and apparatus for detecting a desired behavior in digital image data
WP Kegelmeyer Jr
US Patent 5,633,948, 1997
911997
Multilinear algebra for analyzing data with multiple linkages
DM Dunlavy, TG Kolda, WP Kegelmeyer
Graph algorithms in the language of linear algebra, 85-114, 2011
902011
Computer detection of stellate lesions in mammograms
WP Kegelmeyer Jr
Biomedical Image Processing and Three-Dimensional Microscopy 1660, 446-454, 1992
871992
Distributed learning with bagging-like performance
NV Chawla, TE Moore, LO Hall, KW Bowyer, WP Kegelmeyer, C Springer
Pattern recognition letters 24 (1-3), 455-471, 2003
832003
Evaluation of stellate lesion detection in a standard mammogram data set
WP Kegelmeyer Jr
International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993
791993
Evaluation of stellate lesion detection in a standard mammogram data set
WP Kegelmeyer Jr
International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993
791993
A comparison of ensemble creation techniques
RE Banfield, LO Hall, KW Bowyer, D Bhadoria, WP Kegelmeyer, ...
International Workshop on Multiple Classifier Systems, 223-232, 2004
742004
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