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* | 2009 | |
---|---|---|

53 | EE | 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 | ||

52 | EE | Peter Sutovskú, Gregory F. Cooper: Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. ECAI 2008: 214-218 |

51 | EE | 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 |

50 | EE | 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) |

49 | EE | 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) |

2007 | ||

48 | EE | Yanna Shen, Gregory F. Cooper: A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases. BioSurveillance 2007: 209-215 |

2006 | ||

47 | EE | Subramani Mani, Gregory F. Cooper, Peter Spirtes: A Theoretical Study of Y Structures for Causal Discovery. UAI 2006 |

46 | EE | 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 | ||

45 | EE | Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper: A Bayesian Spatial Scan Statistic. NIPS 2005 |

44 | EE | 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) |

43 | EE | 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 | ||

42 | EE | Wei Wang, Gregory F. Cooper: An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data. CSB 2004: 645-646 |

41 | EE | Shyam Visweswaran, Gregory F. Cooper: Instance-Specific Bayesian Model Averaging for Classification. NIPS 2004 |

40 | EE | 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 |

39 | EE | 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) |

38 | EE | Denver Dash, Gregory F. Cooper: Model Averaging for Prediction with Discrete Bayesian Networks. Journal of Machine Learning Research 5: 1177-1203 (2004) |

2003 | ||

37 | 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 | ||

36 | 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 | |

35 | Denver Dash, Gregory F. Cooper: Exact model averaging with naive Bayesian classifiers. ICML 2002: 91-98 | |

34 | EE | 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 |

33 | Mehmet Kayaalp, Gregory F. Cooper: A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. UAI 2002: 251-258 | |

2001 | ||

32 | EE | 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 | ||

31 | EE | Gregory F. Cooper: A Bayesian Method for Causal Modeling and Discovery Under Selection. UAI 2000: 98-106 |

1999 | ||

30 | Subramani Mani, Gregory F. Cooper: Causal Discovery from Population-Based Infant Birth and Death Records. AAAI/IAAI 1999: 973 | |

29 | EE | Gregory F. Cooper, Changwon Yoo: Causal Discovery from a Mixture of Experimental and Observational Data. UAI 1999: 116-125 |

28 | EE | 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 | ||

27 | Gregory F. Cooper, Serafín Moral: UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, July 24-26, 1998, University of Wisconsin Business School, Madison, Wisconsin, USA Morgan Kaufmann 1998 | |

26 | EE | Stefano Monti, Gregory F. Cooper: A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. UAI 1998: 404-413 |

1997 | ||

25 | 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) | |

24 | Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. 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) | |

23 | 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 | ||

22 | EE | Stefano Monti, Gregory F. Cooper: Learning Bayesian Belief Networks with Neural Network Estimators. NIPS 1996: 578-584 |

21 | EE | Constantin F. Aliferis, Gregory F. Cooper: A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI 1996: 28-39 |

20 | EE | 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 | ||

19 | Gregory F. Cooper: A Bayesian Method for Learning Belief Networks that Contain Hidden Variables. J. Intell. Inf. Syst. 4(1): 71-88 (1995) | |

1994 | ||

18 | EE | 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 | ||

17 | Gregory F. Cooper: Probabilistic and decision-theoretic systems in medicine. Artificial Intelligence in Medicine 5(4): 289-292 (1993) | |

1992 | ||

16 | Gregory F. Cooper, Edward Herskovits: A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9: 309-347 (1992) | |

1991 | ||

15 | EE | Gregory F. Cooper, Edward Herskovits: A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI 1991: 86-94 |

14 | Henri Jacques Suermondt, Gregory F. Cooper: Initialization for the Method of Conditioning in Bayesian Belief Networks. Artif. Intell. 50(1): 83-94 (1991) | |

13 | EE | 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) |

12 | EE | 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 | ||

11 | EE | Edward Herskovits, Gregory F. Cooper: an entropy-driven system for construction of probabilistic expert systems from databases. UAI 1990: 117-128 |

10 | EE | 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 |

9 | Gregory F. Cooper: The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artif. Intell. 42(2-3): 393-405 (1990) | |

8 | EE | 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 | EE | R. Martin Chavez, Gregory F. Cooper: An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. UAI 1989: 191-208 |

1988 | ||

5 | EE | 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 | EE | Homer L. Chin, Gregory F. Cooper: Bayesian Belief Network Inference Using Simulation. UAI 1987: 129-148 |

1 | EE | Gregory F. Cooper: An Algorithm for Computing Probabilistic Propositions. UAI 1987: 3-14 |