Gregory Cooper
Gregory Cooper
Professor of Biomedical Informatics, University of Pittsburgh
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Cited by
Cited by
A Bayesian method for the induction of probabilistic networks from data
GF Cooper, E Herskovits
Machine learning 9, 309-347, 1992
The computational complexity of probabilistic inference using Bayesian belief networks
GF Cooper
Artificial intelligence 42 (2-3), 393-405, 1990
Obtaining well calibrated probabilities using bayesian binning
MP Naeini, G Cooper, M Hauskrecht
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
A simple algorithm for identifying negated findings and diseases in discharge summaries
WW Chapman, W Bridewell, P Hanbury, GF Cooper, BG Buchanan
Journal of biomedical informatics 34 (5), 301-310, 2001
The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks
IA Beinlich, HJ Suermondt, RM Chavez, GF Cooper
AIME 89: Second European Conference on Artificial Intelligence in Medicine …, 1989
Derivation, validation, and potential treatment implications of novel clinical phenotypes for sepsis
CW Seymour, JN Kennedy, S Wang, CCH Chang, CF Elliott, Z Xu, S Berry, ...
Jama 321 (20), 2003-2017, 2019
Computation, causation, and discovery
CN Glymour, GF Cooper
(No Title), 1999
Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base
MA Shwe, B Middleton, DE Heckerman, M Henrion, EJ Horvitz, ...
Methods of information in Medicine 30 (04), 241-255, 1991
A Bayesian method for constructing Bayesian belief networks from databases
GF Cooper, E Herskovits
Uncertainty Proceedings 1991, 86-94, 1991
Causal discovery from a mixture of experimental and observational data
GF Cooper, C Yoo
arXiv preprint arXiv:1301.6686, 2013
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
Bayesian network anomaly pattern detection for disease outbreaks
WK Wong, AW Moore, GF Cooper, MM Wagner
Proceedings of the 20th international conference on machine learning (ICML …, 2003
A Bayesian approach to causal discovery
D Heckerman, C Meek, G Cooper
Innovations in Machine Learning: Theory and Applications, 1-28, 2006
NESTOR: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge
GF Cooper
Stanford University, 1984
A method for using belief networks as influence diagrams
GF Cooper
arXiv preprint arXiv:1304.2346, 2013
Kutato: An entropy-driven system for construction of probabilistic expert systems from databases
EH Herskovits, GF Cooper
arXiv preprint arXiv:1304.1088, 2013
A simple constraint-based algorithm for efficiently mining observational databases for causal relationships
GF Cooper
Data Mining and Knowledge Discovery 1, 203-224, 1997
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature methods 13 (4), 310-318, 2016
Reflection and action under scarce resources: Theoretical principles and empirical study
EJ Horvitz, GF Cooper, DE Heckerman
IJCAI 2, 1121-1127, 1989
Evaluation of negation phrases in narrative clinical reports.
WW Chapman, W Bridewell, P Hanbury, GF Cooper, BG Buchanan
Proceedings of the AMIA Symposium, 105, 2001
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