default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGregory F. Cooper
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c93]Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye:
Online Transfer Learning for RSV Case Detection. ICHI 2024: 512-521- [i30]Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye:
Online Transfer Learning for RSV Case Detection. CoRR abs/2402.01987 (2024) - 2023
- [j63]Bryan Andrews, Chirayu Wongchokprasitti
, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper:
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 139: 102546 (2023) - [j62]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:
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds. J. Biomed. Informatics 146: 104483 (2023) - [c92]Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper:
Learning Treatment Effects from Observational and Experimental Data. AISTATS 2023: 7126-7146 - 2022
- [j61]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:
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Comput. Biol. 18(12): 1010761 (2022) - [i29]Bryan Andrews, Gregory F. Cooper, Thomas S. Richardson, Peter Spirtes:
The m-connecting imset and factorization for ADMG models. CoRR abs/2207.08963 (2022) - 2021
- [j60]Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran:
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. 21(1): 158 (2021) - [c91]Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
Patient-Specific Modeling with Lazy Random Forest (LazyRF). AMIA 2021 - [c90]Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. MedInfo 2021: 248-252 - [c89]Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper:
Causal and interventional Markov boundaries. UAI 2021: 1434-1443 - 2020
- [j59]Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl. Clin. Inform. 11(04): 680-691 (2020) - [j58]Jinling Liu, Xiaojun Ma, Gregory F. Cooper, Xinghua Lu:
Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinform. 21-S(13): 379 (2020) - [c88]Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper:
Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. AIME 2020: 149-159 - [c87]Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran:
Patient-Specific Modeling with Personalized Decision Paths. AMIA 2020 - [c86]Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu:
Learning Latent Causal Structures with a Redundant Input Neural Network. CD@KDD 2020: 62-91 - [c85]Fattaneh Jabbari, Gregory F. Cooper:
An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. SDM 2020: 433-441 - [i28]Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu:
Learning Latent Causal Structures with a Redundant Input Neural Network. CoRR abs/2003.13135 (2020)
2010 – 2019
- 2019
- [j57]Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran:
Using machine learning to selectively highlight patient information. J. Biomed. Informatics 100 (2019) - [j56]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:
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Comput. Biol. 15(7) (2019) - [c84]Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper:
Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. AMIA 2019 - [c83]Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper:
An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. BIBM 2019: 2582-2585 - [c82]Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper:
Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types. CD@KDD 2019: 4-21 - 2018
- [j55]Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper:
Scoring Bayesian networks of mixed variables. Int. J. Data Sci. Anal. 6(1): 3-18 (2018) - [j54]Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary classifier calibration using an ensemble of piecewise linear regression models. Knowl. Inf. Syst. 54(1): 151-170 (2018) - [c81]Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. AMIA 2018 - [c80]Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran:
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA 2018 - [c79]Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper:
Instance-Specific Bayesian Network Structure Learning. PGM 2018: 169-180 - 2017
- [j53]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:
The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance. Appl. Clin. Inform. 08(02): 560-580 (2017) - [j52]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:
A Bayesian system to detect and characterize overlapping outbreaks. J. Biomed. Informatics 73: 171-181 (2017) - [c78]Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser:
Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. AMIA 2017 - [c77]Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper:
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. CRI 2017 - [c76]Fattaneh Jabbari, Joseph D. Ramsey, Peter Spirtes, Gregory F. Cooper:
Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints. ECML/PKDD (2) 2017: 142-157 - [i27]Fattaneh Jabbari, Mahdi Pakdaman Naeini, Gregory F. Cooper:
Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration. CoRR abs/1712.08626 (2017) - 2016
- [j51]Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont:
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64: 211-221 (2016) - [j50]Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. 46(1): 115-150 (2016) - [c75]Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. ICDM 2016: 360-369 - [c74]Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. SDM 2016: 261-269 - 2015
- [j49]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:
The center for causal discovery of biomedical knowledge from big data. J. Am. Medical Informatics Assoc. 22(6): 1132-1136 (2015) - [j48]Gregory F. Cooper, Ricardo Villamarín-Salomón, Fuchiang (Rich) Tsui, Nicholas Millett, Jeremy U. Espino, Michael M. Wagner:
A method for detecting and characterizing outbreaks of infectious disease from clinical reports. J. Biomed. Informatics 53: 15-26 (2015) - [j47]Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang (Rich) Tsui:
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. J. Biomed. Informatics 58: 60-69 (2015) - [c73]Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI 2015: 2901-2907 - [c72]Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran:
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. AMIA 2015 - [c71]Yuriy Sverchkov, Gregory F. Cooper:
A Bayesian Approach for Identifying Multivariate Differences Between Groups. IDA 2015: 275-285 - [c70]Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper:
Patient-Specific Modeling of Medical Data. MLDM 2015: 415-424 - [c69]Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM 2015: 208-216 - [i26]Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models. CoRR abs/1511.05191 (2015) - 2014
- [c68]Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan:
Application of Bayesian Logistic Regression to Mining Biomedical Data. AMIA 2014 - [i25]Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR abs/1401.2955 (2014) - [i24]Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht:
Binary Classifier Calibration: Non-parametric approach. CoRR abs/1401.3390 (2014) - [i23]Shyam Visweswaran, Gregory F. Cooper:
Counting Markov Blanket Structures. CoRR abs/1407.2483 (2014) - 2013
- [j46]Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Outlier detection for patient monitoring and alerting. J. Biomed. Informatics 46(1): 47-55 (2013) - [j45]Ricardo Villamarín-Salomón, Gregory F. Cooper, Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino:
A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza. J. Biomed. Informatics 46(3): 444-457 (2013) - [j44]Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. 4(4): 63:1-63:22 (2013) - [c67]Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) 2013 - [c66]Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran:
Decision Path Models for Patient-Specific Modeling of Patient Outcomes. AMIA 2013 - [c65]Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Data-driven identification of unusual clinical actions in the ICU. AMIA 2013 - [i22]Mehmet Kayaalp, Gregory F. Cooper:
A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors. CoRR abs/1301.0576 (2013) - [i21]Gregory F. Cooper:
A Bayesian Method for Causal Modeling and Discovery Under Selection. CoRR abs/1301.3844 (2013) - [i20]Gregory F. Cooper, Changwon Yoo:
Causal Discovery from a Mixture of Experimental and Observational Data. CoRR abs/1301.6686 (2013) - [i19]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) - [i18]Stefano Monti, Gregory F. Cooper:
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. CoRR abs/1301.7403 (2013) - [i17]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) - [i16]Constantin F. Aliferis, Gregory F. Cooper:
An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Usin. CoRR abs/1302.6779 (2013) - [i15]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for Constructing Bayesian Belief Networks from Databases. CoRR abs/1303.5714 (2013) - [i14]Edward Herskovits, Gregory F. Cooper:
Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases. CoRR abs/1304.1088 (2013) - [i13]R. Martin Chavez, Gregory F. Cooper:
A Randomized Approximation Algorithm of Logic Sampling. CoRR abs/1304.1097 (2013) - [i12]Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman:
A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System. CoRR abs/1304.1114 (2013) - [i11]Michael Shwe, Gregory F. Cooper:
An Empirical Analysis of Likelihood-Weighting Simulation on a Large, Multiply-Connected Belief Network. CoRR abs/1304.1141 (2013) - [i10]R. Martin Chavez, Gregory F. Cooper:
An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. CoRR abs/1304.1498 (2013) - [i9]Eric Horvitz, Henri Jacques Suermondt, Gregory F. Cooper:
Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources. CoRR abs/1304.1512 (2013) - [i8]R. Martin Chavez, Gregory F. Cooper:
KNET: Integrating Hypermedia and Bayesian Modeling. CoRR abs/1304.2345 (2013) - [i7]Gregory F. Cooper:
A Method for Using Belief Networks as Influence Diagrams. CoRR abs/1304.2346 (2013) - [i6]Henri Jacques Suermondt, Gregory F. Cooper:
Updating Probabilities in Multiply-Connected Belief Networks. CoRR abs/1304.2377 (2013) - [i5]Homer L. Chin, Gregory F. Cooper:
Stochastic Simulation of Bayesian Belief Networks. CoRR abs/1304.2722 (2013) - [i4]Gregory F. Cooper:
An Algorithm for Computing Probabilistic Propositions. CoRR abs/1304.2754 (2013) - [i3]Gregory F. Cooper, Serafín Moral:
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998). CoRR abs/1304.3844 (2013) - 2012
- [j43]Yanna Shen, Gregory F. Cooper:
Multivariate Bayesian modeling of known and unknown causes of events - An application to biosurveillance. Comput. Methods Programs Biomed. 107(3): 436-446 (2012) - [j42]Yuriy Sverchkov, Xia Jiang, Gregory F. Cooper:
Spatial cluster detection using dynamic programming. BMC Medical Informatics Decis. Mak. 12: 22 (2012) - [j41]Pablo H. Hennings-Yeomans, Gregory F. Cooper:
Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1442-1450 (2012) - [c64]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:
A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza. ICDE Workshops 2012: 49-54 - [c63]Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper:
A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800 - [c62]Iyad Batal, Gregory F. Cooper, Milos Hauskrecht:
A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) 2012: 260-276 - [i2]Subramani Mani, Peter Spirtes, Gregory F. Cooper:
A theoretical study of Y structures for causal discovery. CoRR abs/1206.6853 (2012) - [i1]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. CoRR abs/1207.4122 (2012) - 2011
- [j40]Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper:
Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. 12: 309 (2011) - [j39]Wei Wei, Shyam Visweswaran, Gregory F. Cooper:
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. J. Am. Medical Informatics Assoc. 18(4): 370-375 (2011) - [c61]Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365 - [c60]Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743 - 2010
- [j38]Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper:
Bayesian rule learning for biomedical data mining. Bioinform. 26(5): 668-675 (2010) - [j37]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) - [j36]Xia Jiang, Daniel B. Neill, Gregory F. Cooper:
A Bayesian network model for spatial event surveillance. Int. J. Approx. Reason. 51(2): 224-239 (2010) - [j35]Xia Jiang, Gregory F. Cooper:
A Bayesian spatio-temporal method for disease outbreak detection. J. Am. Medical Informatics Assoc. 17(4): 462-471 (2010) - [j34]Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa A. Weissfeld, Donald Yealy, Gregory F. Cooper:
Learning patient-specific predictive models from clinical data. J. Biomed. Informatics 43(5): 669-685 (2010) - [j33]Shyam Visweswaran, Gregory F. Cooper:
Learning Instance-Specific Predictive Models. J. Mach. Learn. Res. 11: 3333-3369 (2010) - [j32]Daniel B. Neill, Gregory F. Cooper:
A multivariate Bayesian scan statistic for early event detection and characterization. Mach. Learn. 79(3): 261-282 (2010)
2000 – 2009
- 2009
- [j31]Xia Jiang, Garrick L. Wallstrom, Gregory F. Cooper, Michael M. Wagner:
Bayesian prediction of an epidemic curve. J. Biomed. Informatics 42(1): 90-99 (2009) - [c59]Xia Jiang, Gregory F. Cooper, Daniel B. Neill:
Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. AMIA 2009 - [c58]Yanna Shen, Gregory F. Cooper:
Bayesian Modeling of Unknown Diseases for Biosurveillance. AMIA 2009 - 2008
- [j30]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. J. Biomed. Informatics 41(2): 224-231 (2008) - [j29]Jagan Dara, John N. Dowling, Debbie A. Travers, Gregory F. Cooper, Wendy Webber Chapman:
Evaluation of preprocessing techniques for chief complaint classification. J. Biomed. Informatics 41(4): 613-623 (2008) - [c57]Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman:
Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. AMIA 2008 - [c56]Peter Sutovskú, Gregory F. Cooper:
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. ECAI 2008: 214-218 - [c55]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. WCCI Causation and Prediction Challenge 2008: 1-33 - [p2]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 - [e2]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008. JMLR Proceedings 3, JMLR.org 2008 [contents] - 2007
- [c54]Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper:
Evidence-based Anomaly Detection in Clinical Domains. AMIA 2007 - [c53]Xia Jiang, Gregory F. Cooper:
A Recursive Algorithm for Spatial Cluster Detection. AMIA 2007 - [c52]Yanna Shen, Gregory F. Cooper:
A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases. BioSurveillance 2007: 209-215 - 2006
- [j28]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. J. Biomed. Informatics 39(2): 126-146 (2006) - [c51]Subramani Mani, Gregory F. Cooper, Peter Spirtes:
A Theoretical Study of Y Structures for Causal Discovery. UAI 2006 - 2005
- [j27]Gregory F. Cooper:
Editorial Comments: Defining a Workable Strategy to Stimulate Widespread Adoption of Electronic Health Records in the United States. J. Am. Medical Informatics Assoc. 12(1): 1-2 (2005) - [j26]Blackford Middleton, William 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. J. Am. Medical Informatics Assoc. 12(1): 13-19 (2005) - [j25]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. J. Biomed. Informatics 38(5): 347-366 (2005) - [j24]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. J. Mach. Learn. Res. 6: 1961-1998 (2005) - [c50]Gregory F. Cooper, Shyam Visweswaran:
Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. AMIA 2005 - [c49]Manoj Ramachandran, Gregory F. Cooper, Wendy W. Chapman, John N. Dowling:
A Software Tool to Assist Researchers in Coding Free Text Clinical Reports. AMIA 2005 - [c48]Shyam Visweswaran, Gregory F. Cooper:
Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. AMIA 2005 - [c47]Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper:
A Bayesian Spatial Scan Statistic. NIPS 2005: 1003-1010 - 2004
- [j23]Changwon Yoo, Gregory F. Cooper:
An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways. Artif. Intell. Medicine 31(2): 169-182 (2004) - [j22]Denver Dash, Gregory F. Cooper:
Model Averaging for Prediction with Discrete Bayesian Networks. J. Mach. Learn. Res. 5: 1177-1203 (2004) - [c46]Wei Wang, Gregory F. Cooper:
An Bayesian Method for Biological Pathway Discovery from High-Throughput Experimental Data. CSB 2004: 645-646 - [c45]Subramani Mani, Gregory F. Cooper:
Causal Discovery Using A Bayesian Local Causal Discovery Algorithm. MedInfo 2004: 731-735 - [c44]Shyam Visweswaran, Gregory F. Cooper:
Instance-Specific Bayesian Model Averaging for Classification. NIPS 2004: 1449-1456 - [c43]Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. UAI 2004: 94-103 - 2003
- [j21]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. J. Am. Medical Informatics Assoc. 10(5): 494-503 (2003) - [c42]Denver Dash, Gregory F. Cooper:
Model Averaging with Bayesian Network Classifiers. AISTATS 2003: 72-79 - [c41]Shyam Visweswaran, Paul Hanbury, Melissa I. Saul, Gregory F. Cooper:
Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. AMIA 2003 - [c40]Changwon Yoo, Gregory F. Cooper:
A Computer-Based Microarray Experiment Design-System for Gene-Regulation Pathway Discovery. AMIA 2003 - [c39]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
- [c38]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 - [c37]Bruce G. Buchanan, Wendy W. Chapman, Gregory F. Cooper, Paul Hanbury, Mehmet Kayaalp, Manoj Ramachandran, Melissa I. Saul:
Creating a Software Tool for the Clinical Researcher - the IPS System. AMIA 2002 - [c36]Changwon Yoo, Gregory F. Cooper:
Discovery of gene-regulation pathways using local causal search. AMIA 2002 - [c35]Denver Dash, Gregory F. Cooper:
Exact model averaging with naive Bayesian classifiers. ICML 2002: 91-98 - [c34]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 - [c33]Mehmet Kayaalp, Gregory F. Cooper:
A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. UAI 2002: 251-258 - 2001
- [j20]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. J. Biomed. Informatics 34(5): 301-310 (2001) - [c32]Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont:
Predicting with Variables Constructed from Temporal Sequences. AISTATS 2001: 143-148 - [c31]Subramani Mani, Gregory F. Cooper:
A Simulation Study of Three Related Causal Data Mining Algorithms. AISTATS 2001: 184-191 - [c30]Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu:
Piecewise Linear Instrumental Variable Estimation of Causal Influence. AISTATS 2001: 265-271 - [c29]Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan:
Evaluation of negation phrases in narrative clinical reports. AMIA 2001 - [c28]Gregory F. Cooper, Bruce G. Buchanan, Wendy W. Chapman, Paul Hanbury, Mehmet Kayaalp, Melissa I. Saul:
IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research. AMIA 2001 - 2000
- [c27]John M. Aronis, Gregory F. Cooper, Michael J. Fine:
A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia. AMIA 2000 - [c26]Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont:
Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. AMIA 2000 - [c25]Subramani Mani, Gregory F. Cooper:
Causal discovery from medical textual data. AMIA 2000 - [c24]Gregory F. Cooper:
A Bayesian Method for Causal Modeling and Discovery Under Selection. UAI 2000: 98-106
1990 – 1999
- 1999
- [c23]Subramani Mani, Gregory F. Cooper:
Causal Discovery from Population-Based Infant Birth and Death Records. AAAI/IAAI 1999: 973 - [c22]Stefano Monti, Gregory F. Cooper:
A latent variable model for multivariate discretization. AISTATS 1999 - [c21]Peter Spirtes, Gregory F. Cooper:
An experiment in causal discovery using a pneumona database. AISTATS 1999 - [c20]John M. Aronis, Gregory F. Cooper, Mehmet Kayaalp, Bruce G. Buchanan:
Identifying patient subgroups with simple Bayes'. AMIA 1999 - [c19]Subramani Mani, Gregory F. Cooper:
A study in causal discovery from population-based infant birth and death records. AMIA 1999 - [c18]Gregory F. Cooper, Changwon Yoo:
Causal Discovery from a Mixture of Experimental and Observational Data. UAI 1999: 116-125 - [c17]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
- [j19]Gregory F. Cooper, Randolph A. Miller:
Research Paper: An Experiment Comparing Lexical and Statistical Methods for Extracting MeSH Terms from Clinical Free Text. J. Am. Medical Informatics Assoc. 5(1): 62-75 (1998) - [c16]Constantin F. Aliferis, Gregory F. Cooper:
Temporal representation design principles: an assessment in the domain of liver transplantation. AMIA 1998 - [c15]Gregory F. Cooper, Bruce G. Buchanan, Mehmet Kayaalp, Melissa I. Saul, John K. Vries:
Using computer modeling to help identify patient subgroups in clinical data repositories. AMIA 1998 - [c14]Stefano Monti, Gregory F. Cooper:
The impact of modeling the dependencies among patient findings on classification accuracy and calibration. AMIA 1998 - [c13]Stefano Monti, Gregory F. Cooper:
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. UAI 1998: 404-413 - [p1]Stefano Monti, Gregory F. Cooper:
Learning Hybrid Bayesian Networks from Data. Learning in Graphical Models 1998: 521-540 - [e1]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, ISBN 1-55860-555-X [contents] - 1997
- [j18]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. Artif. Intell. Medicine 9(2): 107-138 (1997) - [j17]Gil Citro, Gordon Banks, Gregory F. Cooper:
INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge. Artif. Intell. Medicine 10(3): 257-267 (1997) - [j16]Constantin F. Aliferis, Gregory F. Cooper, Martha E. Pollack, Bruce G. Buchanan, Michael M. Wagner:
Representing and developing temporally abstracted knowledge as a means towards facilitating time modeling in medical decision-support systems. Comput. Biol. Medicine 27(5): 411-434 (1997) - [j15]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
- [j14]Stefano Monti, Gregory F. Cooper:
Bounded recursive decomposition: a search-based method for belief-network inference under limited resources. Int. J. Approx. Reason. 15(1): 49-75 (1996) - [j13]Constantin F. Aliferis, Gregory F. Cooper, Randolph A. Miller, Bruce G. Buchanan, Richard Bankowitz, Nunzia Bettinsoli Giuse:
Research Paper: A Temporal Analysis of QMR. J. Am. Medical Informatics Assoc. 3(1): 79-91 (1996) - [c12]Stefano Monti, Gregory F. Cooper:
Learning Bayesian Belief Networks with Neural Network Estimators. NIPS 1996: 578-584 - [c11]Constantin F. Aliferis, Gregory F. Cooper:
A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. UAI 1996: 28-39 - 1995
- [j12]Gregory F. Cooper:
A Bayesian Method for Learning Belief Networks that Contain Hidden Variables. J. Intell. Inf. Syst. 4(1): 71-88 (1995) - 1994
- [c10]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
- [j11]Gregory F. Cooper:
Probabilistic and decision-theoretic systems in medicine. Artif. Intell. Medicine 5(4): 289-292 (1993) - 1992
- [j10]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for the Induction of Probabilistic Networks from Data. Mach. Learn. 9: 309-347 (1992) - 1991
- [j9]Henri Jacques Suermondt, Gregory F. Cooper:
Initialization for the Method of Conditioning in Bayesian Belief Networks. Artif. Intell. 50(1): 83-94 (1991) - [j8]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) - [j7]Henri Jacques Suermondt, Gregory F. Cooper:
A combination of exact algorithms for inference on Bayesian belief networks. Int. J. Approx. Reason. 5(6): 521-542 (1991) - [c9]Gregory F. Cooper, Edward Herskovits:
A Bayesian Method for Constructing Bayesian Belief Networks from Databases. UAI 1991: 86-94 - 1990
- [j6]Gregory F. Cooper:
The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks. Artif. Intell. 42(2-3): 393-405 (1990) - [j5]Gregory F. Cooper, Mark A. Musen:
The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine. Artif. Intell. Medicine 2(5): 293-298 (1990) - [j4]Henri Jacques Suermondt, Gregory F. Cooper:
Probabilistic inference in multiply connected belief networks using loop cutsets. Int. J. Approx. Reason. 4(4): 283-306 (1990) - [j3]R. Martin Chavez, Gregory F. Cooper:
A randomized approximation algorithm for probabilistic inference on bayesian belief networks. Networks 20(5): 661-685 (1990) - [c8]Edward Herskovits, Gregory F. Cooper:
an entropy-driven system for construction of probabilistic expert systems from databases. UAI 1990: 117-128 - [c7]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
1980 – 1989
- 1989
- [c6]Ingo A. Beinlich, Henri Jacques Suermondt, R. Martin Chavez, Gregory F. Cooper:
The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks. AIME 1989: 247-256 - [c5]Eric Horvitz, Gregory F. Cooper, David Heckerman:
Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. IJCAI 1989: 1121-1127 - [c4]R. Martin Chavez, Gregory F. Cooper:
An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. UAI 1989: 191-208 - 1988
- [j2]Homer L. Chin, Gregory F. Cooper:
Stochastic simulation of Bayesian belief networks. Int. J. Approx. Reason. 2(3): 331 (1988) - [j1]Gregory F. Cooper:
An algorithm for computing probabilistic propositions. Int. J. Approx. Reason. 2(3): 333 (1988) - [c3]R. Martin Chavez, Gregory F. Cooper:
KNET: integrating hypermedia and normative bayesian modeling. UAI 1988: 339-350 - 1987
- [c2]Gregory F. Cooper:
An Algorithm for Computing Probabilistic Propositions. UAI 1987: 3-14 - [c1]Homer L. Chin, Gregory F. Cooper:
Bayesian Belief Network Inference Using Simulation. UAI 1987: 129-148
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
