Gregory F. Cooper

200 papers A* 8A 29B 3Misc 33Journal 98Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	IBI-DT: a novel approach combining individualized Bayesian inference and decision tree for identifying cancer drivers and their interactions. Briefings Bioinform. Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu
2025	J	`jnl`	Testing Identifiability and Transportability with Observational and Experimental Data. CoRR Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou
2024	J	`jnl`	An interpretable deep learning framework for genome-informed precision oncology. Nat. Mac. Intell. Shuangxia Ren, Gregory F. Cooper, Lujia Chen, Xinghua Lu
2024	—	`conf`	Learning Causal Markov Boundaries with Mixed Observational and Experimental Data. PGM Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou
2024	—	`conf`	Online Transfer Learning for RSV Case Detection. ICHI Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye
2024	J	`jnl`	Online Transfer Learning for RSV Case Detection. CoRR Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye
2023	J	`jnl`	A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. Artif. Intell. Medicine Bryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper
2023	J	`jnl`	A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds. J. Biomed. Informatics Andrew J. King, Derek C. Angus, Gregory F. Cooper, Danielle L. Mowery, Jennifer B. Seaman, Kelly M. Potter, Leigh A. Bukowski, Ali Al-Khafaji, Scott R. Gunn, Jeremy M. Kahn
2023	A	`conf`	Learning Treatment Effects from Observational and Experimental Data. AISTATS Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2022	J	`jnl`	An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Comput. Biol. Xueer Chen, Lujia Chen, Cornelius H. L. Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F. Cooper, Robert Ferris, Xinghua Lu
2022	J	`jnl`	The m-connecting imset and factorization for ADMG models. CoRR Bryan Andrews, Gregory F. Cooper, Thomas S. Richardson, Peter Spirtes
2021	—	`conf`	A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. MedInfo Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2021	J	`jnl`	Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
2021	J	`jnl`	Causal Markov Boundaries. CoRR Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2021	A	`conf`	Causal and interventional Markov boundaries. UAI Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
2021	A*	`conf`	Learning Adjustment Sets from Observational and Limited Experimental Data. AAAI Sofia Triantafillou, Gregory F. Cooper
2021	Misc	`conf`	Patient-Specific Modeling with Lazy Random Forest (LazyRF). AMIA Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2021	—	`conf`	Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	A*	`conf`	The KDD 2021 Workshop on Causal Discovery (CD2021). KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2021	—	`ed.`	The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. CD@KDD Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash
2020	A	`conf`	An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. SDM Fattaneh Jabbari, Gregory F. Cooper
2020	J	`jnl`	Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinform. Jinling Liu, Xiaojun Ma, Gregory F. Cooper, Xinghua Lu
2020	J	`jnl`	Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl. Clin. Inform. Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2020	J	`jnl`	Learning Adjustment Sets from Observational and Limited Experimental Data. CoRR Sofia Triantafillou, Gregory F. Cooper
2020	—	`conf`	Learning Latent Causal Structures with a Redundant Input Neural Network. CD@KDD Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu
2020	J	`jnl`	Learning Latent Causal Structures with a Redundant Input Neural Network. CoRR Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu
2020	B	`conf`	Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. AIME Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper
2020	Misc	`conf`	Patient-Specific Modeling with Personalized Decision Paths. AMIA Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2019	—	`conf`	An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. BIBM Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
2019	Misc	`conf`	Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. AMIA Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper
2019	—	`conf`	Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types. CD@KDD Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper
2019	J	`jnl`	Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Comput. Biol. Chunhui Cai, Gregory F. Cooper, Kevin N. Lu, Xiaojun Ma, Shuping Xu, Zhenlong Zhao, Xueer Chen, Yifan Xue, Adrian V. Lee, Nathan Clark, Vicky Chen, Songjian Lu, Lujia Chen, Liyue Yu, Harry Hochheiser, Xia Jiang, Q. Jane Wang, Xinghua Lu
2019	J	`jnl`	Using machine learning to selectively highlight patient information. J. Biomed. Informatics Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran
2018	J	`jnl`	Binary classifier calibration using an ensemble of piecewise linear regression models. Knowl. Inf. Syst. Mahdi Pakdaman Naeini, Gregory F. Cooper
2018	Misc	`conf`	Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. AMIA Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2018	—	`conf`	Instance-Specific Bayesian Network Structure Learning. PGM Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
2018	J	`jnl`	Scoring Bayesian networks of mixed variables. Int. J. Data Sci. Anal. Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper
2018	Misc	`conf`	Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran
2017	J	`jnl`	A Bayesian system to detect and characterize overlapping outbreaks. J. Biomed. Informatics John M. Aronis, Nicholas Millett, Michael M. Wagner, Fu-Chiang Tsui, Ye Ye, Jeffrey P. Ferraro, Peter J. Haug, Per H. Gesteland, Gregory F. Cooper
2017	—	`conf`	Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints. ECML/PKDD (2) Fattaneh Jabbari, Joseph D. Ramsey, Peter Spirtes, Gregory F. Cooper
2017	Misc	`conf`	Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. AMIA Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2017	—	`conf`	Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. CRI Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper
2017	J	`jnl`	Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration. CoRR Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper
2017	J	`jnl`	The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Appl. Clin. Inform. Jeffrey P. Ferraro, Ye Ye, Per H. Gesteland, Peter J. Haug, Fu-Chiang Tsui, Gregory F. Cooper, Rudy Van Bree, Thomas Ginter, Andrew Nowalk, Michael M. Wagner
2016	J	`jnl`	An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht
2016	A	`conf`	Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. SDM Mahdi Pakdaman Naeini, Gregory F. Cooper
2016	A*	`conf`	Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. ICDM Mahdi Pakdaman Naeini, Gregory F. Cooper
2016	J	`jnl`	Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont
2015	B	`conf`	A Bayesian Approach for Identifying Multivariate Differences Between Groups. IDA Yuriy Sverchkov, Gregory F. Cooper
2015	J	`jnl`	A method for detecting and characterizing outbreaks of infectious disease from clinical reports. J. Biomed. Informatics Gregory F. Cooper, Ricardo Villamarín-Salomón, Fuchiang (Rich) Tsui, Nicholas Millett, Jeremy U. Espino, Michael M. Wagner
2015	A	`conf`	Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2015	J	`jnl`	Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models. CoRR Mahdi Pakdaman Naeini, Gregory F. Cooper
2015	J	`jnl`	Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. J. Biomed. Informatics Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang (Rich) Tsui
2015	Misc	`conf`	Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. AMIA Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran
2015	A*	`conf`	Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2015	—	`conf`	Patient-Specific Modeling of Medical Data. MLDM Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper
2015	J	`jnl`	The center for causal discovery of biomedical knowledge from big data. J. Am. Medical Informatics Assoc. Gregory F. Cooper, Ivet Bahar, Michael J. Becich, Panayiotis V. Benos, Jeremy M. Berg, Jeremy U. Espino, Clark Glymour, Rebecca Crowley Jacobson, Michelle Kienholz, Adrian V. Lee, Xinghua Lu, Richard Scheines
2014	Misc	`conf`	Application of Bayesian Logistic Regression to Mining Biomedical Data. AMIA Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan
2014	J	`jnl`	Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014	J	`jnl`	Binary Classifier Calibration: Non-parametric approach. CoRR Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014	J	`jnl`	Counting Markov Blanket Structures. CoRR Shyam Visweswaran, Gregory F. Cooper
2013	J	`jnl`	A Bayesian Method for Causal Modeling and Discovery Under Selection CoRR Gregory F. Cooper
2013	J	`jnl`	A Bayesian Method for Constructing Bayesian Belief Networks from Databases CoRR Gregory F. Cooper, Edward Herskovits
2013	J	`jnl`	A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model CoRR Stefano Monti, Gregory F. Cooper
2013	J	`jnl`	A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors CoRR Mehmet Kayaalp, Gregory F. Cooper
2013	J	`jnl`	A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System CoRR Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman
2013	J	`jnl`	A Method for Using Belief Networks as Influence Diagrams CoRR Gregory F. Cooper
2013	J	`jnl`	A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data CoRR Stefano Monti, Gregory F. Cooper
2013	J	`jnl`	A Randomized Approximation Algorithm of Logic Sampling CoRR R. Martin Chavez, Gregory F. Cooper
2013	J	`jnl`	A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques CoRR Constantin F. Aliferis, Gregory F. Cooper
2013	J	`jnl`	A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza. J. Biomed. Informatics Ricardo Villamarín-Salomón, Gregory F. Cooper, Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino
2013	J	`jnl`	A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2013	J	`jnl`	An Algorithm for Computing Probabilistic Propositions CoRR Gregory F. Cooper
2013	J	`jnl`	An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network CoRR Michael Shwe, Gregory F. Cooper
2013	J	`jnl`	An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference CoRR R. Martin Chavez, Gregory F. Cooper
2013	J	`jnl`	An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin CoRR Constantin F. Aliferis, Gregory F. Cooper
2013	J	`jnl`	Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources CoRR Eric Horvitz, Henri Jacques Suermondt, Gregory F. Cooper
2013	J	`jnl`	Causal Discovery from a Mixture of Experimental and Observational Data CoRR Gregory F. Cooper, Changwon Yoo
2013	—	`conf`	Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	Misc	`conf`	Data-driven identification of unusual clinical actions in the ICU. AMIA Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	Misc	`conf`	Decision Path Models for Patient-Specific Modeling of Patient Outcomes. AMIA Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran
2013	J	`jnl`	KNET: Integrating Hypermedia and Bayesian Modeling CoRR R. Martin Chavez, Gregory F. Cooper
2013	J	`jnl`	Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases CoRR Edward Herskovits, Gregory F. Cooper
2013	J	`jnl`	Outlier detection for patient monitoring and alerting. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	J	`jnl`	Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998) CoRR Gregory F. Cooper, Serafín Moral
2013	J	`jnl`	Stochastic Simulation of Bayesian Belief Networks CoRR Homer L. Chin, Gregory F. Cooper
2013	J	`jnl`	Updating Probabilities in Multiply-Connected Belief Networks CoRR Henri Jacques Suermondt, Gregory F. Cooper
2012	—	`conf`	A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) Iyad Batal, Gregory F. Cooper, Milos Hauskrecht
2012	—	`conf`	A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza. ICDE Workshops Michael M. Wagner, Gregory F. Cooper, Fu-Chiang Tsui, Jeremy U. Espino, Hendrik Harkema, John D. Levander, Ricardo Villamarín-Salomón, Nicholas Millett, Shawn T. Brown, Anthony Gallaggher
2012	—	`conf`	A multivariate probabilistic method for comparing two clinical datasets. IHI Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper
2012	J	`jnl`	A theoretical study of Y structures for causal discovery. CoRR Subramani Mani, Peter Spirtes, Gregory F. Cooper
2012	J	`jnl`	Bayesian Biosurveillance of Disease Outbreaks CoRR Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2012	J	`jnl`	Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Pablo H. Hennings-Yeomans, Gregory F. Cooper
2012	J	`jnl`	Multivariate Bayesian modeling of known and unknown causes of events - An application to biosurveillance. Comput. Methods Programs Biomed. Yanna Shen, Gregory F. Cooper
2012	J	`jnl`	Spatial cluster detection using dynamic programming. BMC Medical Informatics Decis. Mak. Yuriy Sverchkov, Xia Jiang, Gregory F. Cooper
2011	—	`conf`	A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	J	`jnl`	Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper
2011	A*	`conf`	Conditional Anomaly Detection with Soft Harmonic Functions. ICDM Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	J	`jnl`	The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. J. Am. Medical Informatics Assoc. Wei Wei, Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	A Bayesian network model for spatial event surveillance. Int. J. Approx. Reason. Xia Jiang, Daniel B. Neill, Gregory F. Cooper
2010	J	`jnl`	A Bayesian spatio-temporal method for disease outbreak detection. J. Am. Medical Informatics Assoc. Xia Jiang, Gregory F. Cooper
2010	J	`jnl`	A multivariate Bayesian scan statistic for early event detection and characterization. Mach. Learn. Daniel B. Neill, Gregory F. Cooper
2010	J	`jnl`	A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection. Data Min. Knowl. Discov. Xia Jiang, Gregory F. Cooper
2010	J	`jnl`	Bayesian rule learning for biomedical data mining. Bioinform. Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	Learning Instance-Specific Predictive Models. J. Mach. Learn. Res. Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	Learning patient-specific predictive models from clinical data. J. Biomed. Informatics Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa A. Weissfeld, Donald Yealy, Gregory F. Cooper
2009	Misc	`conf`	Bayesian Modeling of Unknown Diseases for Biosurveillance. AMIA Yanna Shen, Gregory F. Cooper
2009	J	`jnl`	Bayesian prediction of an epidemic curve. J. Biomed. Informatics Xia Jiang, Garrick L. Wallstrom, Gregory F. Cooper, Michael M. Wagner
2009	Misc	`conf`	Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. AMIA Xia Jiang, Gregory F. Cooper, Daniel B. Neill
2008	Misc	`conf`	Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. AMIA Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman
2008	—	`ed.`	Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008 WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	—	`conf`	Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	J	`jnl`	Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding. J. Biomed. Informatics Yanna Shen, Christina Adamou, John N. Dowling, Gregory F. Cooper
2008	J	`jnl`	Evaluation of preprocessing techniques for chief complaint classification. J. Biomed. Informatics Jagan Dara, John N. Dowling, Debbie A. Travers, Gregory F. Cooper, Wendy Webber Chapman
2008	A	`conf`	Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. ECAI Peter Sutovskú, Gregory F. Cooper
2008	—	`ch.`	Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks. Innovations in Bayesian Networks Xia Jiang, Michael M. Wagner, Gregory F. Cooper
2007	—	`conf`	A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases. BioSurveillance Yanna Shen, Gregory F. Cooper
2007	Misc	`conf`	A Recursive Algorithm for Spatial Cluster Detection. AMIA Xia Jiang, Gregory F. Cooper
2007	Misc	`conf`	Evidence-based Anomaly Detection in Clinical Domains. AMIA Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper
2006	A	`conf`	A Theoretical Study of Y Structures for Causal Discovery. UAI Subramani Mani, Gregory F. Cooper, Peter Spirtes
2006	J	`jnl`	A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery. J. Biomed. Informatics Changwon Yoo, Gregory F. Cooper, Martin Schmidt
2005	—	`conf`	A Bayesian Spatial Scan Statistic. NIPS Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper
2005	Misc	`conf`	A Software Tool to Assist Researchers in Coding Free Text Clinical Reports. AMIA Manoj Ramachandran, Gregory F. Cooper, Wendy W. Chapman, John N. Dowling
2005	Misc	`conf`	Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. AMIA Gregory F. Cooper, Shyam Visweswaran
2005	J	`jnl`	Editorial Comments: Defining a Workable Strategy to Stimulate Widespread Adoption of Electronic Health Records in the United States. J. Am. Medical Informatics Assoc. Gregory F. Cooper
2005	Misc	`conf`	Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. AMIA Shyam Visweswaran, Gregory F. Cooper
2005	J	`jnl`	Predicting dire outcomes of patients with community acquired pneumonia. J. Biomed. Informatics 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
2005	J	`jnl`	Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat. J. Am. Medical Informatics Assoc. Blackford Middleton, William Ed Hammond, Patricia Flatley Brennan, Gregory F. Cooper
2005	J	`jnl`	What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. J. Mach. Learn. Res. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
2004	—	`conf`	An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data. CSB Wei Wang, Gregory F. Cooper
2004	J	`jnl`	An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways. Artif. Intell. Medicine Changwon Yoo, Gregory F. Cooper
2004	A	`conf`	Bayesian Biosurveillance of Disease Outbreaks. UAI Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner
2004	—	`conf`	Causal Discovery Using A Bayesian Local Causal Discovery Algorithm. MedInfo Subramani Mani, Gregory F. Cooper
2004	—	`conf`	Instance-Specific Bayesian Model Averaging for Classification. NIPS Shyam Visweswaran, Gregory F. Cooper
2004	J	`jnl`	Model Averaging for Prediction with Discrete Bayesian Networks. J. Mach. Learn. Res. Denver Dash, Gregory F. Cooper
2003	Misc	`conf`	A Computer-Based Microarray Experiment Design-System for Gene-Regulation Pathway Discovery. AMIA Changwon Yoo, Gregory F. Cooper
2003	A*	`conf`	Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
2003	Misc	`conf`	Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. AMIA Shyam Visweswaran, Paul Hanbury, Melissa I. Saul, Gregory F. Cooper
2003	A	`conf`	Model Averaging with Bayesian Network Classifiers. AISTATS Denver Dash, Gregory F. Cooper
2003	J	`jnl`	Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. J. Am. Medical Informatics Assoc. Wendy Webber Chapman, Gregory F. Cooper, Paul Hanbury, Brian E. Chapman, Lee H. Harrison, Michael M. Wagner
2002	A	`conf`	A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. UAI Mehmet Kayaalp, Gregory F. Cooper
2002	Misc	`conf`	Creating a Software Tool for the Clinical Researcher - the IPS System. AMIA Bruce G. Buchanan, Wendy W. Chapman, Gregory F. Cooper, Paul Hanbury, Mehmet Kayaalp, Manoj Ramachandran, Melissa I. Saul
2002	Misc	`conf`	Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data. Pacific Symposium on Biocomputing Changwon Yoo, Vesteinn Thorsson, Gregory F. Cooper
2002	Misc	`conf`	Discovery of gene-regulation pathways using local causal search. AMIA Changwon Yoo, Gregory F. Cooper
2002	A*	`conf`	Exact model averaging with naive Bayesian classifiers. ICML Denver Dash, Gregory F. Cooper
2002	—	`conf`	Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner
2001	J	`jnl`	A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. J. Biomed. Informatics Wendy Webber Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan
2001	A	`conf`	A Simulation Study of Three Related Causal Data Mining Algorithms. AISTATS Subramani Mani, Gregory F. Cooper
2001	Misc	`conf`	Evaluation of negation phrases in narrative clinical reports. AMIA Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan
2001	Misc	`conf`	IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research. AMIA Gregory F. Cooper, Bruce G. Buchanan, Wendy W. Chapman, Paul Hanbury, Mehmet Kayaalp, Melissa I. Saul
2001	A	`conf`	Piecewise Linear Instrumental Variable Estimation of Causal Influence. AISTATS Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu
2001	A	`conf`	Predicting with Variables Constructed from Temporal Sequences. AISTATS Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont
2000	A	`conf`	A Bayesian Method for Causal Modeling and Discovery Under Selection. UAI Gregory F. Cooper
2000	Misc	`conf`	A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia. AMIA John M. Aronis, Gregory F. Cooper, Michael J. Fine
2000	Misc	`conf`	Causal discovery from medical textual data. AMIA Subramani Mani, Gregory F. Cooper
2000	Misc	`conf`	Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. AMIA Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont
1999	A	`conf`	A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model. UAI Stefano Monti, Gregory F. Cooper
1999	A	`conf`	A latent variable model for multivariate discretization. AISTATS Stefano Monti, Gregory F. Cooper
1999	Misc	`conf`	A study in causal discovery from population-based infant birth and death records. AMIA Subramani Mani, Gregory F. Cooper
1999	A	`conf`	An experiment in causal discovery using a pneumona database. AISTATS Peter Spirtes, Gregory F. Cooper
1999	—	`conf`	Causal Discovery from Population-Based Infant Birth and Death Records. AAAI/IAAI Subramani Mani, Gregory F. Cooper
1999	A	`conf`	Causal Discovery from a Mixture of Experimental and Observational Data. UAI Gregory F. Cooper, Changwon Yoo
1999	Misc	`conf`	Identifying patient subgroups with simple Bayes'. AMIA John M. Aronis, Gregory F. Cooper, Mehmet Kayaalp, Bruce G. Buchanan
1998	A	`conf`	A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. UAI Stefano Monti, Gregory F. Cooper
1998	—	`ch.`	Learning Hybrid Bayesian Networks from Data. Learning in Graphical Models Stefano Monti, Gregory F. Cooper
1998	J	`jnl`	Research Paper: An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text. J. Am. Medical Informatics Assoc. Gregory F. Cooper, Randolph A. Miller
1998	Misc	`conf`	Temporal representation design principles: an assessment in the domain of liver transplantation. AMIA Constantin F. Aliferis, Gregory F. Cooper
1998	Misc	`conf`	The impact of modeling the dependencies among patient findings on classification accuracy and calibration. AMIA Stefano Monti, Gregory F. Cooper
1998	A	`ed.`	UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, University of Wisconsin Business School, Madison, Wisconsin, USA, July 24-26, 1998 UAI Gregory F. Cooper, Serafín Moral
1998	Misc	`conf`	Using computer modeling to help identify patient subgroups in clinical data repositories. AMIA Gregory F. Cooper, Bruce G. Buchanan, Mehmet Kayaalp, Melissa I. Saul, John K. Vries
1997	J	`jnl`	A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships. Data Min. Knowl. Discov. Gregory F. Cooper
1997	J	`jnl`	An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine 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
1997	J	`jnl`	INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge. Artif. Intell. Medicine Gil Citro, Gordon Banks, Gregory F. Cooper
1997	J	`jnl`	Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems. Comput. Biol. Medicine Constantin F. Aliferis, Gregory F. Cooper, Martha E. Pollack, Bruce G. Buchanan, Michael M. Wagner
1996	A	`conf`	A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI Constantin F. Aliferis, Gregory F. Cooper
1996	J	`jnl`	Bounded recursive decomposition: a search-based method for belief-network inference under limited resources. Int. J. Approx. Reason. Stefano Monti, Gregory F. Cooper
1996	—	`conf`	Learning Bayesian Belief Networks with Neural Network Estimators. NIPS Stefano Monti, Gregory F. Cooper
1996	J	`jnl`	Research Paper: A Temporal Analysis of QMR. J. Am. Medical Informatics Assoc. Constantin F. Aliferis, Gregory F. Cooper, Randolph A. Miller, Bruce G. Buchanan, Richard Bankowitz, Nunzia Bettinsoli Giuse
1995	J	`jnl`	A Bayesian Method for Learning Belief Networks that Contain Hidden Variables. J. Intell. Inf. Syst. Gregory F. Cooper
1994	A	`conf`	An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. UAI Constantin F. Aliferis, Gregory F. Cooper
1993	J	`jnl`	Probabilistic and decision-theoretic systems in medicine. Artif. Intell. Medicine Gregory F. Cooper
1992	J	`jnl`	A Bayesian Method for the Induction of Probabilistic Networks from Data. Mach. Learn. Gregory F. Cooper, Edward Herskovits
1991	A	`conf`	A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI Gregory F. Cooper, Edward Herskovits
1991	J	`jnl`	A combination of exact algorithms for inference on Bayesian belief networks. Int. J. Approx. Reason. Henri Jacques Suermondt, Gregory F. Cooper
1991	J	`jnl`	Building a Speech Interface to a Medical Diagnostic System. IEEE Expert 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
1991	J	`jnl`	Initialization for the Method of Conditioning in Bayesian Belief Networks. Artif. Intell. Henri Jacques Suermondt, Gregory F. Cooper
1990	A	`conf`	A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. UAI Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman
1990	J	`jnl`	A randomized approximation algorithm for probabilistic inference on bayesian belief networks. Networks R. Martin Chavez, Gregory F. Cooper
1990	J	`jnl`	Probabilistic inference in multiply connected belief networks using loop cutsets. Int. J. Approx. Reason. Henri Jacques Suermondt, Gregory F. Cooper
1990	J	`jnl`	The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine. Artif. Intell. Medicine Gregory F. Cooper, Mark A. Musen
1990	J	`jnl`	The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artif. Intell. Gregory F. Cooper
1990	A	`conf`	an entropy-driven system for construction of probabilistic expert systems from databases. UAI Edward Herskovits, Gregory F. Cooper
1989	A	`conf`	An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. UAI R. Martin Chavez, Gregory F. Cooper
1989	A*	`conf`	Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. IJCAI Eric Horvitz, Gregory F. Cooper, David Heckerman
1989	B	`conf`	The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks. AIME Ingo A. Beinlich, Henri Jacques Suermondt, R. Martin Chavez, Gregory F. Cooper
1988	J	`jnl`	An algorithm for computing probabilistic propositions. Int. J. Approx. Reason. Gregory F. Cooper
1988	A	`conf`	KNET: integrating hypermedia and normative bayesian modeling. UAI R. Martin Chavez, Gregory F. Cooper
1988	J	`jnl`	Stochastic simulation of Bayesian belief networks. Int. J. Approx. Reason. Homer L. Chin, Gregory F. Cooper
1987	A	`conf`	An Algorithm for Computing Probabilistic Propositions. UAI Gregory F. Cooper
1987	A	`conf`	Bayesian Belief Network Inference Using Simulation. UAI Homer L. Chin, Gregory F. Cooper