Stephen D. Bay

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

Coauthor Index

1	Kevin R. Arrigo	[16]
2	Lonnie Chrisman	[12] [17]
3	Dileep George	[14] [15] [16]
4	Dennis F. Kibler	[4]
5	Pat Langley	[9] [10] [11] [12] [14] [16]
6	Michael J. Pazzani	[3] [4] [6] [8]
7	Andrew Pohorille	[9] [17]
8	Kazumi Saito	[11] [14] [15] [16]
9	Mark Schwabacher	[13]
10	Daniel G. Shapiro	[10]
11	Jeff Shrager	[9] [15] [17]
12	Padhraic Smyth	[4]