Stephen D. Bay

According to our database, Stephen D. Bay authored at least 17 papers between 1998 and 2004.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2004

Temporal Aggregation Bias and Inference of Causal Regulatory Networks.

Stephen D. Bay, Lonnie Chrisman, Andrew Pohorille, Jeff Shrager

J. Comput. Biol., 2004

2003

Incorporating Biological Knowledge into Evaluation of Causal Regulatory Hypotheses.

Lonnie Chrisman, Pat Langley, Stephen D. Bay

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Mining distance-based outliers in near linear time with randomization and a simple pruning rule.

Stephen D. Bay, Mark Schwabacher

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Robust Induction of Process Models from Time-Series Data.

Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito

Proceedings of the Machine Learning, 2003

Inducing Biological Models from Temporal Gene Expression Data.

Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager

Proceedings of the Discovery Science, 6th International Conference, 2003

Discovering Ecosystem Models from Time-Series Data.

Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

Revising regulatory networks: from expression data to linear causal models.

Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pat Langley

J. Biomed. Informatics, 2002

Revising Engineering Models: Combining Computational Discovery with Knowledge.

Stephen D. Bay, Daniel G. Shapiro, Pat Langley

Proceedings of the Machine Learning: ECML 2002, 2002

Revising Qualitative Models of Gene Regulation.

Kazumi Saito, Stephen D. Bay, Pat Langley

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Multivariate Discretization for Set Mining.

Stephen D. Bay

Knowl. Inf. Syst., 2001

Detecting Group Differences: Mining Contrast Sets.

Stephen D. Bay, Michael J. Pazzani

Data Min. Knowl. Discov., 2001

2000

The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation.

Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth

SIGKDD Explor., 2000

Multivariate discretization of continuous variables for set mining.

Stephen D. Bay

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Characterizing Model Erros and Differences.

Stephen D. Bay, Michael J. Pazzani

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Nearest neighbor classification from multiple feature subsets.

Stephen D. Bay

Intell. Data Anal., 1999

Detecting Change in Categorical Data: Mining Contrast Sets.

Stephen D. Bay, Michael J. Pazzani

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets.

Stephen D. Bay

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998