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John H. Holmes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. John H. Holmes, Jennifer A. Sager
    Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:444-452 [Conf]
  2. John H. Holmes
    Detection of sentinel predictor-class associations with XCS: a sensitivity analysis. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:67-71 [Conf]
  3. John H. Holmes
    Discovering Risk of Disease with a Learning Classifier System. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:426-433 [Conf]
  4. John H. Holmes
    Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:243-262 [Conf]
  5. John H. Holmes
    Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:103-113 [Conf]
  6. John H. Holmes
    A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2001, pp:43-56 [Conf]
  7. John H. Holmes, Warren B. Bilker
    The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:46-60 [Conf]
  8. John H. Holmes, Dennis R. Durbin, Flaura K. Winston
    A New Bootstrapping Method to Improve Classification Performance in Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:745-754 [Conf]
  9. Lewis Hassell, John H. Holmes
    Modeling the Workflow of Prescription Writing. [Citation Graph (0, 0)][DBLP]
    SAC, 2003, pp:235-239 [Conf]
  10. John H. Holmes, Dennis R. Durbin, Flaura K. Winston
    The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:19, n:1, pp:53-74 [Journal]
  11. Blaz Zupan, John H. Holmes, Riccardo Bellazzi
    Knowledge-based data analysis and interpretation. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:3, pp:163-165 [Journal]
  12. John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
    Learning classifier systems: New models, successful applications. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2002, v:82, n:1, pp:23-30 [Journal]
  13. John H. Holmes
    Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:270-281 [Conf]
  14. John H. Holmes, Jennifer A. Sager
    The EpiXCS Workbench: A Tool for Experimentation and Visualization. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:333-344 [Conf]
  15. John H. Holmes, Jennifer A. Sager, Warren B. Bilker
    Three Methods for Covering Missing Input Data in XCS. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:181-192 [Conf]

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