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William Philip Kegelmeyer
William Philip Kegelmeyer
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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
199092002
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
19261998
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
13301997
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
5412006
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
5082012
Computer-aided mammographic screening for spiculated lesions.
WP Kegelmeyer Jr, JM Pruneda, PD Bourland, A Hillis, MW Riggs, ...
Radiology 191 (2), 331-337, 1994
4591994
Ensemble diversity measures and their application to thinning
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
Information Fusion 6 (1), 49-62, 2005
2852005
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
2661994
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
2661994
Data mining for scientific and engineering applications
RL Grossman, C Kamath, P Kegelmeyer, V Kumar, R Namburu
Springer Science & Business Media, 2013
2502013
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
2402012
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
1742004
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
1022003
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
992011
Method and apparatus for detecting a desired behavior in digital image data
WP Kegelmeyer Jr
US Patent 5,633,948, 1997
941997
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
792003
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
772004
The computation of cloud-base height from paired whole-sky imaging cameras
MC Allmen, WP Kegelmeyer Jr
Journal of Atmospheric and Oceanic Technology 13 (1), 97-113, 1996
591996
PostDOCK: a structural, empirical approach to scoring protein ligand complexes
C Springer, H Adalsteinsson, MM Young, PW Kegelmeyer, DC Roe
Journal of medicinal chemistry 48 (22), 6821-6831, 2005
542005
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