Gregory F. Cooper

	2012
69		Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper: A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800
	2011
68		Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365
67		Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743
66		Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper: Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinformatics 12: 309 (2011)
65		Wei Wei, Shyam Visweswaran, Gregory F. Cooper: The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. JAMIA 18(4): 370-375 (2011)
	2010
64		Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper: Bayesian rule learning for biomedical data mining. Bioinformatics 26(5): 668-675 (2010)
63		Xia Jiang, Gregory F. Cooper: A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection. Data Min. Knowl. Discov. 20(3): 328-360 (2010)
62		Xia Jiang, Daniel B. Neill, Gregory F. Cooper: A Bayesian network model for spatial event surveillance. Int. J. Approx. Reasoning 51(2): 224-239 (2010)
61		Xia Jiang, Gregory F. Cooper: A Bayesian spatio-temporal method for disease outbreak detection. JAMIA 17(4): 462-471 (2010)
60		Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa Weissfeld, Donald Yealy, Gregory F. Cooper: Learning patient-specific predictive models from clinical data. Journal of Biomedical Informatics 43(5): 669-685 (2010)
59		Shyam Visweswaran, Gregory F. Cooper: Learning Instance-Specific Predictive Models. Journal of Machine Learning Research 11: 3333-3369 (2010)
58		Daniel B. Neill, Gregory F. Cooper: A multivariate Bayesian scan statistic for early event detection and characterization. Machine Learning 79(3): 261-282 (2010)
	2009
57		Xia Jiang, Garrick L. Wallstrom, Gregory F. Cooper, Michael M. Wagner: Bayesian prediction of an epidemic curve. Journal of Biomedical Informatics 42(1): 90-99 (2009)
	2008
56		Peter Sutovskú, Gregory F. Cooper: Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. ECAI 2008: 214-218
55		Xia Jiang, Michael M. Wagner, Gregory F. Cooper: Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks. Innovations in Bayesian Networks 2008: 169-185
54		Yanna Shen, Christina Adamou, John N. Dowling, Gregory F. Cooper: Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding. Journal of Biomedical Informatics 41(2): 224-231 (2008)
53		Jagan Dara, John N. Dowling, Debbie Travers, Gregory F. Cooper, Wendy Webber Chapman: Evaluation of preprocessing techniques for chief complaint classification. Journal of Biomedical Informatics 41(4): 613-623 (2008)
52		Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov: Design and Analysis of the Causation and Prediction Challenge. Journal of Machine Learning Research - Proceedings Track 3: 1-33 (2008)
	2007
51		Yanna Shen, Gregory F. Cooper: A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases. BioSurveillance 2007: 209-215
	2006
50		Subramani Mani, Gregory F. Cooper, Peter Spirtes: A Theoretical Study of Y Structures for Causal Discovery. UAI 2006
49		Changwon Yoo, Gregory F. Cooper, Martin Schmidt: A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery. Journal of Biomedical Informatics 39(2): 126-146 (2006)
	2005
48		Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper: A Bayesian Spatial Scan Statistic. NIPS 2005
47		Gregory F. Cooper: Editorial Comments: Defining a Workable Strategy to Stimulate Widespread Adoption of Electronic Health Records in the United States. JAMIA 12(1): 1-2 (2005)
46		Blackford Middleton, W. Ed Hammond, Patricia F. Brennan, Gregory F. Cooper: Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat. JAMIA 12(1): 13-19 (2005)
45		Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell: Predicting dire outcomes of patients with community acquired pneumonia. Journal of Biomedical Informatics 38(5): 347-366 (2005)
44		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. Journal of Machine Learning Research 6: 1961-1998 (2005)
	2004
43		Wei Wang, Gregory F. Cooper: An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data. CSB 2004: 645-646
42		Shyam Visweswaran, Gregory F. Cooper: Instance-Specific Bayesian Model Averaging for Classification. NIPS 2004
41		Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner: Bayesian Biosurveillance of Disease Outbreaks. UAI 2004: 94-103
40		Changwon Yoo, Gregory F. Cooper: An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways. Artificial Intelligence in Medicine 31(2): 169-182 (2004)
39		Denver Dash, Gregory F. Cooper: Model Averaging for Prediction with Discrete Bayesian Networks. Journal of Machine Learning Research 5: 1177-1203 (2004)
	2003
38		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML 2003: 808-815
	2002
37		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI 2002: 217-223
36		Denver Dash, Gregory F. Cooper: Exact model averaging with naive Bayesian classifiers. ICML 2002: 91-98
35		Changwon Yoo, Vesteinn Thorsson, Gregory F. Cooper: Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data. Pacific Symposium on Biocomputing 2002: 498-509
34		Mehmet Kayaalp, Gregory F. Cooper: A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. UAI 2002: 251-258
	2001
33		Wendy Webber Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan: A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. Journal of Biomedical Informatics 34(5): 301-310 (2001)
	2000
32		Gregory F. Cooper: A Bayesian Method for Causal Modeling and Discovery Under Selection. UAI 2000: 98-106
	1999
31		Subramani Mani, Gregory F. Cooper: Causal Discovery from Population-Based Infant Birth and Death Records. AAAI/IAAI 1999: 973
30		Gregory F. Cooper, Changwon Yoo: Causal Discovery from a Mixture of Experimental and Observational Data. UAI 1999: 116-125
29		Stefano Monti, Gregory F. Cooper: A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model. UAI 1999: 447-456
	1998
28		Gregory F. Cooper, Serafín Moral: UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, University of Wisconsin Business School, Madison, Wisconsin, USA, July 24-26, 1998 Morgan Kaufmann 1998
27		Stefano Monti, Gregory F. Cooper: A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. UAI 1998: 404-413
	1997
26		Gil Citro, Gordon Banks, Gregory F. Cooper: INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge. Artificial Intelligence in Medicine 10(3): 257-267 (1997)
25		Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
24		Gregory F. Cooper: A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships. Data Min. Knowl. Discov. 1(2): 203-224 (1997)
	1996
23		Stefano Monti, Gregory F. Cooper: Learning Bayesian Belief Networks with Neural Network Estimators. NIPS 1996: 578-584
22		Constantin F. Aliferis, Gregory F. Cooper: A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI 1996: 28-39
21		Stefano Monti, Gregory F. Cooper: Bounded recursive decomposition: a search-based method for belief-network inference under limited resources. Int. J. Approx. Reasoning 15(1): 49-75 (1996)
	1995
20		Gregory F. Cooper: A Bayesian Method for Learning Belief Networks that Contain Hidden Variables. J. Intell. Inf. Syst. 4(1): 71-88 (1995)
	1994
19		Constantin F. Aliferis, Gregory F. Cooper: An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. UAI 1994: 8-14
	1993
18		Gregory F. Cooper: Probabilistic and decision-theoretic systems in medicine. Artificial Intelligence in Medicine 5(4): 289-292 (1993)
	1992
17		Gregory F. Cooper, Edward Herskovits: A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9: 309-347 (1992)
	1991
16		Gregory F. Cooper, Edward Herskovits: A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI 1991: 86-94
15		Henri Jacques Suermondt, Gregory F. Cooper: Initialization for the Method of Conditioning in Bayesian Belief Networks. Artif. Intell. 50(1): 83-94 (1991)
14		Smadar Shiffman, Alice W. Wu, Alex D. Poon, Christopher D. Lane, Blackford Middleton, Randolph A. Miller, Fred E. Masarie Jr., Gregory F. Cooper, Edward H. Shortliffe, Lawrence M. Fagan: Building a Speech Interface to a Medical Diagnostic System. IEEE Expert 6(1): 41-50 (1991)
13		Henri Jacques Suermondt, Gregory F. Cooper: A combination of exact algorithms for inference on Bayesian belief networks. Int. J. Approx. Reasoning 5(6): 521-542 (1991)
	1990
12		Edward Herskovits, Gregory F. Cooper: an entropy-driven system for construction of probabilistic expert systems from databases. UAI 1990: 117-128
11		Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman: A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. UAI 1990: 245-254
10		Gregory F. Cooper: The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artif. Intell. 42(2-3): 393-405 (1990)
9		Gregory F. Cooper, Mark A. Musen: The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 2(5): 293-298 (1990)
8		Henri Jacques Suermondt, Gregory F. Cooper: Probabilistic inference in multiply connected belief networks using loop cutsets. Int. J. Approx. Reasoning 4(4): 283-306 (1990)
	1989
7		Eric Horvitz, Gregory F. Cooper, David Heckerman: Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. IJCAI 1989: 1121-1127
6		R. Martin Chavez, Gregory F. Cooper: An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. UAI 1989: 191-208
	1988
5		R. Martin Chavez, Gregory F. Cooper: KNET: integrating hypermedia and normative bayesian modeling. UAI 1988: 339-350
4		Homer L. Chin, Gregory F. Cooper: Stochastic simulation of Bayesian belief networks. Int. J. Approx. Reasoning 2(3): 331 (1988)
3		Gregory F. Cooper: An algorithm for computing probabilistic propositions. Int. J. Approx. Reasoning 2(3): 333 (1988)
	1987
2		Homer L. Chin, Gregory F. Cooper: Bayesian Belief Network Inference Using Simulation. UAI 1987: 129-148
1		Gregory F. Cooper: An Algorithm for Computing Probabilistic Propositions. UAI 1987: 3-14

Coauthor Index

1	Vijoy Abraham	[45]
2	Christina Adamou	[54]
3	Constantin F. Aliferis	[19] [22] [25] [45] [52]
4	Richard Ambrosino	[25]
5	Derek C. Angus	[60]
6	John M. Aronis	[25] [45]
7	Gordon Banks	[26]
8	Iyad Batal	[68]
9	Patricia F. Brennan	[46]
10	Will Bridewell	[33]
11	Bruce G. Buchanan	[25] [33] [45]
12	Rich Caruana	[25] [45]
13	Wendy Webber Chapman	[33] [53]
14	R. Martin Chavez	[5] [6]
15	Homer L. Chin	[2] [4]
16	Gil Citro	[26]
17	Gilles Clermont	[69]
18	Jagan Dara	[53]
19	Denver Dash	[36] [39] [41]
20	John N. Dowling	[53] [54]
21	André Elisseeff	[52]
22	Lawrence M. Fagan	[14]
23	Michael J. Fine	[25] [45]
24	Clark Glymour	[25]
25	Vanathi Gopalakrishnan	[64] [66]
26	Geoffrey J. Gordon	[25]
27	Isabelle Guyon	[52]
28	W. Ed Hammond	[46]
29	Paul Hanbury	[33]
30	Barbara H. Hanusa	[25]
31	Milos Hauskrecht	[67] [68] [69]
32	David Heckerman	[7] [11]
33	Edward Herskovits	[12] [16] [17]
34	William R. Hogan	[41]
35	Eric Horvitz	[7]
36	Margaret Hsieh	[60]
37	Janine E. Janosky	[25] [45]
38	Xia Jiang	[55] [57] [61] [62] [63]
39	Mehmet Kayaalp	[34]
40	Branislav Kveton	[67]
41	Christopher D. Lane	[14]
42	John Levander	[41]
43	Gary Livingston	[45]
44	Jonathan L. Lustgarten	[64] [66]
45	Subramani Mani	[31] [50]
46	Fred E. Masarie Jr.	[14]
47	Christopher Meek	[25]
48	Blackford Middleton	[14] [46]
49	Randolph A. Miller	[14]
50	Tom M. Mitchell	[25] [45]
51	Stefano Monti	[21] [23] [27] [29]
52	Andrew W. Moore	[37] [38] [44] [48]
53	Serafín Moral	[28]
54	Mark A. Musen	[9]
55	Daniel B. Neill	[48] [58] [62]
56	Jean-Philippe Pellet	[52]
57	Alex D. Poon	[14]
58	Thomas Richardson	[25]
59	Martin Schmidt	[49]
60	Yanna Shen	[51] [54]
61	Smadar Shiffman	[14]
62	Edward H. Shortliffe	[14]
63	Peter Spirtes	[25] [50] [52]
64	Alexander R. Statnikov	[52]
65	Henri Jacques Suermondt	[8] [11] [13] [15]
66	Peter Sutovskú	[56]
67	Yuriy Sverchkov	[69]
68	Vesteinn Thorsson	[35]
69	Debbie Travers	[53]
70	Hamed Valizadegan	[67] [68]
71	Michal Valko	[67]
72	Shyam Visweswaran	[42] [59] [60] [64] [65] [66] [69]
73	Michael M. Wagner	[37] [38] [41] [44] [55] [57]
74	Garrick L. Wallstrom	[57]
75	Wei Wang	[43]
76	Wei Wei	[65]
77	Lisa Weissfeld	[60]
78	Weng-Keen Wong	[37] [38] [41] [44]
79	Alice W. Wu	[14]
80	Donald Yealy	[60]
81	Changwon Yoo	[30] [35] [40] [49]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page