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Stephen D. Bay
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2000 – 2009
- 2004
- [j6]Stephen D. Bay, Lonnie Chrisman, Andrew Pohorille, Jeff Shrager:
Temporal Aggregation Bias and Inference of Causal Regulatory Networks. J. Comput. Biol. 11(5): 971-985 (2004) - 2003
- [c11]Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo:
Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003: 141-152 - [c10]Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager:
Inducing Biological Models from Temporal Gene Expression Data. Discovery Science 2003: 468-469 - [c9]Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito:
Robust Induction of Process Models from Time-Series Data. ICML 2003: 432-439 - [c8]Stephen D. Bay, Mark Schwabacher:
Mining distance-based outliers in near linear time with randomization and a simple pruning rule. KDD 2003: 29-38 - [c7]Lonnie Chrisman, Pat Langley, Stephen D. Bay:
Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing 2003: 128-139 - 2002
- [j5]Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley:
Revising regulatory networks: from expression data to linear causal models. J. Biomed. Informatics 35(5-6): 289-297 (2002) - [c6]Kazumi Saito, Stephen D. Bay, Pat Langley:
Revising Qualitative Models of Gene Regulation. Discovery Science 2002: 59-70 - [c5]Stephen D. Bay, Daniel G. Shapiro, Pat Langley:
Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML 2002: 10-22 - 2001
- [j4]Stephen D. Bay, Michael J. Pazzani:
Detecting Group Differences: Mining Contrast Sets. Data Min. Knowl. Discov. 5(3): 213-246 (2001) - [j3]Stephen D. Bay:
Multivariate Discretization for Set Mining. Knowl. Inf. Syst. 3(4): 491-512 (2001) - 2000
- [j2]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. SIGKDD Explor. 2(2): 81-85 (2000) - [c4]Stephen D. Bay, Michael J. Pazzani:
Characterizing Model Erros and Differences. ICML 2000: 49-56 - [c3]Stephen D. Bay:
Multivariate discretization of continuous variables for set mining. KDD 2000: 315-319
1990 – 1999
- 1999
- [j1]Stephen D. Bay:
Nearest neighbor classification from multiple feature subsets. Intell. Data Anal. 3(3): 191-209 (1999) - [c2]Stephen D. Bay, Michael J. Pazzani:
Detecting Change in Categorical Data: Mining Contrast Sets. KDD 1999: 302-306 - 1998
- [c1]Stephen D. Bay:
Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. ICML 1998: 37-45
Coauthor Index
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