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Stephen D. Bay: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo
    Discovering Ecosystem Models from Time-Series Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:141-152 [Conf]
  2. Kazumi Saito, Stephen D. Bay, Pat Langley
    Revising Qualitative Models of Gene Regulation. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:59-70 [Conf]
  3. Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager
    Inducing Biological Models from Temporal Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:468-469 [Conf]
  4. Stephen D. Bay, Daniel G. Shapiro, Pat Langley
    Revising Engineering Models: Combining Computational Discovery with Knowledge. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:10-22 [Conf]
  5. Stephen D. Bay
    Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:37-45 [Conf]
  6. Stephen D. Bay, Michael J. Pazzani
    Characterizing Model Erros and Differences. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:49-56 [Conf]
  7. Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
    Robust Induction of Process Models from Time-Series Data. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:432-439 [Conf]
  8. Stephen D. Bay, Michael J. Pazzani
    Detecting Change in Categorical Data: Mining Contrast Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:302-306 [Conf]
  9. Stephen D. Bay
    Multivariate discretization of continuous variables for set mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:315-319 [Conf]
  10. Stephen D. Bay, Mark Schwabacher
    Mining distance-based outliers in near linear time with randomization and a simple pruning rule. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:29-38 [Conf]
  11. Lonnie Chrisman, Pat Langley, Stephen D. Bay
    Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:128-139 [Conf]
  12. Stephen D. Bay, Michael J. Pazzani
    Detecting Group Differences: Mining Contrast Sets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2001, v:5, n:3, pp:213-246 [Journal]
  13. Stephen D. Bay
    Nearest neighbor classification from multiple feature subsets. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:3, pp:191-209 [Journal]
  14. Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley
    Revising regulatory networks: from expression data to linear causal models. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2002, v:35, n:5-6, pp:289-297 [Journal]
  15. Stephen D. Bay, Lonnie Chrisman, Andrew Pohorille, Jeff Shrager
    Temporal Aggregation Bias and Inference of Causal Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:5, pp:971-985 [Journal]
  16. Stephen D. Bay
    Multivariate Discretization for Set Mining. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2001, v:3, n:4, pp:491-512 [Journal]
  17. Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth
    The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:2, pp:81-85 [Journal]

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