Gregory F. Cooper

Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont: Outlier detection for patient monitoring and alerting. Journal of Biomedical Informatics 46(1): 47-55 (2013)

Mehmet Kayaalp, Gregory F. Cooper: A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors. CoRR abs/1301.0576 (2013)

Gregory F. Cooper: A Bayesian Method for Causal Modeling and Discovery Under Selection. CoRR abs/1301.3844 (2013)

Gregory F. Cooper, Changwon Yoo: Causal Discovery from a Mixture of Experimental and Observational Data. CoRR abs/1301.6686 (2013)

Stefano Monti, Gregory F. Cooper: A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model. CoRR abs/1301.6723 (2013)

Stefano Monti, Gregory F. Cooper: A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. CoRR abs/1301.7403 (2013)

Constantin F. Aliferis, Gregory F. Cooper: A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. CoRR abs/1302.3552 (2013)

Constantin F. Aliferis, Gregory F. Cooper: An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin. CoRR abs/1302.6779 (2013)

Gregory F. Cooper, Edward Herskovits: A Bayesian Method for Constructing Bayesian Belief Networks from Databases. CoRR abs/1303.5714 (2013)

Edward Herskovits, Gregory F. Cooper: Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases. CoRR abs/1304.1088 (2013)

R. Martin Chavez, Gregory F. Cooper: A Randomized Approximation Algorithm of Logic Sampling. CoRR abs/1304.1097 (2013)

Jaap Suermondt, Gregory F. Cooper, David Heckerman: A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System. CoRR abs/1304.1114 (2013)

Michael Shwe, Gregory F. Cooper: An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network. CoRR abs/1304.1141 (2013)

R. Martin Chavez, Gregory F. Cooper: An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. CoRR abs/1304.1498 (2013)

Eric Horvitz, Jaap Suermondt, Gregory F. Cooper: Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources. CoRR abs/1304.1512 (2013)

R. Martin Chavez, Gregory F. Cooper: KNET: Integrating Hypermedia and Bayesian Modeling. CoRR abs/1304.2345 (2013)

Gregory F. Cooper: A Method for Using Belief Networks as Influence Diagrams. CoRR abs/1304.2346 (2013)

Jaap Suermondt, Gregory F. Cooper: Updating Probabilities in Multiply-Connected Belief Networks. CoRR abs/1304.2377 (2013)

Homer L. Chin, Gregory F. Cooper: Stochastic Simulation of Bayesian Belief Networks. CoRR abs/1304.2722 (2013)

Gregory F. Cooper: An Algorithm for Computing Probabilistic Propositions. CoRR abs/1304.2754 (2013)

Yanna Shen, Gregory F. Cooper: Multivariate Bayesian modeling of known and unknown causes of events - An application to biosurveillance. Computer Methods and Programs in Biomedicine 107(3): 436-446 (2012)

Yuriy Sverchkov, Xia Jiang, Gregory F. Cooper: Spatial cluster detection using dynamic programming. BMC Med. Inf. & Decision Making 12: 22 (2012)

Pablo H. Hennings-Yeomans, Gregory F. Cooper: Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis. IEEE/ACM Trans. Comput. Biology Bioinform. 9(5): 1442-1450 (2012)

Michael M. Wagner, Gregory F. Cooper, Fu-Chiang Tsui, Jeremy U. Espino, Hendrik Harkema, John Levander, Ricardo Villamarín-Salomón, Nicholas Millett, Shawn T. Brown, Anthony Gallaggher: A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza. ICDE Workshops 2012: 49-54

Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper: A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800

Iyad Batal, Gregory F. Cooper, Milos Hauskrecht: A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) 2012: 260-276

Gregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner: Bayesian Biosurveillance of Disease Outbreaks. CoRR abs/1207.4122 (2012)

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)

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)

Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365

Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743

Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper: Bayesian rule learning for biomedical data mining. Bioinformatics 26(5): 668-675 (2010)

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)

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)

Xia Jiang, Gregory F. Cooper: A Bayesian spatio-temporal method for disease outbreak detection. JAMIA 17(4): 462-471 (2010)

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)

Shyam Visweswaran, Gregory F. Cooper: Learning Instance-Specific Predictive Models. Journal of Machine Learning Research 11: 3333-3369 (2010)

Daniel B. Neill, Gregory F. Cooper: A multivariate Bayesian scan statistic for early event detection and characterization. Machine Learning 79(3): 261-282 (2010)

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)

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)

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)

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)

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

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

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

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)

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

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)

Blackford Middleton, W. Ed Hammond, Patricia Flatley 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)

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)

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)

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

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)

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

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

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

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

Wendy Webber Chapman, Gregory F. Cooper, Paul Hanbury, Brian E. Chapman, Lee H. Harrison, Michael M. Wagner: Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. JAMIA 10(5): 494-503 (2003)

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML 2003: 808-815

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

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

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

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

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)

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

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

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

Stefano Monti, Gregory F. Cooper: A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model. UAI 1999: 447-456

Gregory F. Cooper, Randolph A. Miller: Research Paper: An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text. JAMIA 5(1): 62-75 (1998)

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

Gregory F. Cooper, Serafín Moral (Eds.): 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, isbn 1-55860-555-X

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 S. Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)

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)

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)

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)

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

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

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

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

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

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

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

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)

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)

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

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

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)

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)

R. Martin Chavez, Gregory F. Cooper: A randomized approximation algorithm for probabilistic inference on bayesian belief networks. Networks 20(5): 661-685 (1990)

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

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

Eric Horvitz, Gregory F. Cooper, David Heckerman: Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. IJCAI 1989: 1121-1127

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

Homer L. Chin, Gregory F. Cooper: Stochastic simulation of Bayesian belief networks. Int. J. Approx. Reasoning 2(3): 331 (1988)

Gregory F. Cooper: An algorithm for computing probabilistic propositions. Int. J. Approx. Reasoning 2(3): 333 (1988)

R. Martin Chavez, Gregory F. Cooper: KNET: integrating hypermedia and normative bayesian modeling. UAI 1988: 339-350

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

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