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W. Philip Kegelmeyer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
    Bagging Is a Small-Data-Set Phenomenon. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:684-689 [Conf]
  2. Kevin Woods, Kevin W. Bowyer, W. Philip Kegelmeyer
    Combination of Multiple Classifiers Using Local Accuracy Estimates. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:391-396 [Conf]
  3. Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
    Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:533-536 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:116-126 [Conf]
  5. Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer
    Feature Characterization in Scientific Datasets. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:1-12 [Conf]
  6. Wendy S. Koegler, W. Philip Kegelmeyer
    FCLib: A Library for Building Data Analysis and Data Discovery Tools. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:192-203 [Conf]
  7. Eric T. Stanton, W. Philip Kegelmeyer
    Creating and Managing "Lookmarks" in ParaView. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:- [Conf]
  8. 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. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:50-59 [Conf]
  9. Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer
    Learning Rules from Distributed Data. [Citation Graph (0, 0)][DBLP]
    Large-Scale Parallel Data Mining, 1999, pp:211-220 [Conf]
  10. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
    A Comparison of Ensemble Creation Techniques. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:223-232 [Conf]
  11. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    A New Ensemble Diversity Measure Applied to Thinning Ensembles. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:306-316 [Conf]
  12. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Ensembles of Classifiers from Spatially Disjoint Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:196-205 [Conf]
  13. Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer
    Distributed Pasting of Small Votes. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:52-61 [Conf]
  14. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Ensemble diversity measures and their application to thinning. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2005, v:6, n:1, pp:49-62 [Journal]
  15. Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer
    SMOTE: Synthetic Minority Over-sampling Technique. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:321-357 [Journal]
  16. Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Learning Ensembles from Bites: A Scalable and Accurate Approach. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:421-451 [Journal]
  17. Mark C. Allmen, W. Philip Kegelmeyer
    The computation of cloud base height from paired whole-sky imaging cameras. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 1997, v:9, n:4, pp:160-165 [Journal]
  18. Kevin Woods, W. Philip Kegelmeyer, Kevin W. Bowyer
    Combination of Multiple Classifiers Using Local Accuracy Estimates. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1997, v:19, n:4, pp:405-410 [Journal]
  19. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    A Comparison of Decision Tree Ensemble Creation Techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:1, pp:173-180 [Journal]
  20. Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer
    Distributed learning with bagging-like performance. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:1-3, pp:455-471 [Journal]
  21. Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
    Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:161-170 [Conf]

  22. Feature selection via decision tree surrogate splits. [Citation Graph (, )][DBLP]


  23. Detecting and ordering salient regions for efficient browsing. [Citation Graph (, )][DBLP]


  24. Semi-supervised learning on large complex simulations. [Citation Graph (, )][DBLP]


  25. Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation. [Citation Graph (, )][DBLP]


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