Gregory Cooper
Gregory Cooper
Professor of Biomedical Informatics, University of Pittsburgh
Verified email at
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
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
Obtaining well calibrated probabilities using bayesian binning
MP Naeini, G Cooper, M Hauskrecht
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
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
NESTOR: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge
GF Cooper
Stanford University, 1984
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
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
A method for using belief networks as influence diagrams
GF Cooper
arXiv preprint arXiv:1304.2346, 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
Kutato: An entropy-driven system for construction of probabilistic expert systems from databases
EH Herskovits, GF Cooper
arXiv preprint arXiv:1304.1088, 2013
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
The system can't perform the operation now. Try again later.
Articles 1–20