Stephen D. Bay

Publication Activity (10 Years)

Years Active: 1998-2004
Publications (10 Years): 0

Publications

Stephen D. Bay, Lonnie Chrisman, Andrew Pohorille, Jeff Shrager
Temporal Aggregation Bias and Inference of Causal Regulatory Networks. J. Comput. Biol. 11 (5) (2004)
Lonnie Chrisman, Pat Langley, Stephen D. Bay
Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses. Pacific Symposium on Biocomputing (2003)
Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager
Inducing Biological Models from Temporal Gene Expression Data. Discovery Science (2003)
Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
Robust Induction of Process Models from Time-Series Data. ICML (2003)
Stephen D. Bay, Mark Schwabacher
Mining distance-based outliers in near linear time with randomization and a simple pruning rule. KDD (2003)
Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo
Discovering Ecosystem Models from Time-Series Data. Discovery Science (2003)
Stephen D. Bay, Daniel G. Shapiro, Pat Langley
Revising Engineering Models: Combining Computational Discovery with Knowledge. ECML (2002)
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) (2002)
Kazumi Saito, Stephen D. Bay, Pat Langley
Revising Qualitative Models of Gene Regulation. Discovery Science (2002)
Stephen D. Bay, Michael J. Pazzani
Detecting Group Differences: Mining Contrast Sets. Data Min. Knowl. Discov. 5 (3) (2001)
Stephen D. Bay
Multivariate Discretization for Set Mining. Knowl. Inf. Syst. 3 (4) (2001)
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) (2000)
Stephen D. Bay, Michael J. Pazzani
Characterizing Model Erros and Differences. ICML (2000)
Stephen D. Bay
Multivariate discretization of continuous variables for set mining. KDD (2000)
Stephen D. Bay
Nearest neighbor classification from multiple feature subsets. Intell. Data Anal. 3 (3) (1999)
Stephen D. Bay, Michael J. Pazzani
Detecting Change in Categorical Data: Mining Contrast Sets. KDD (1999)
Stephen D. Bay
Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. ICML (1998)