| A Bayesian method for the induction of probabilistic networks from data GF Cooper, E Herskovits Machine learning 9, 309-347, 1992 | 6254 | 1992 |
| The computational complexity of probabilistic inference using Bayesian belief networks GF Cooper Artificial intelligence 42 (2-3), 393-405, 1990 | 3262 | 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 | 1433 | 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 | 1220 | 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 | 1158 | 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 | 981 | 2019 |
| Computation, causation, and discovery GF Cooper, CN Glymour MIT Press, 1999 | 530 | 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 | 442 | 1991 |
| A Bayesian method for constructing Bayesian belief networks from databases GF Cooper, E Herskovits Uncertainty Proceedings 1991, 86-94, 1991 | 360 | 1991 |
| Causal discovery from a mixture of experimental and observational data GF Cooper, C Yoo arXiv preprint arXiv:1301.6686, 2013 | 304 | 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 | 295 | 1997 |
| A Bayesian approach to causal discovery D Heckerman, C Meek, G Cooper Innovations in Machine Learning: Theory and Applications, 1-28, 2006 | 293 | 2006 |
| 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 | 291 | 2003 |
| NESTOR: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge. GF Cooper Dissertation Abstracts International Part B: Science and Engineering[DISS …, 1985 | 289 | 1985 |
| A method for using belief networks as influence diagrams GF Cooper arXiv preprint arXiv:1304.2346, 2013 | 258 | 2013 |
| Kutato: An entropy-driven system for construction of probabilistic expert systems from databases EH Herskovits, GF Cooper arXiv preprint arXiv:1304.1088, 2013 | 247 | 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 | 246 | 2016 |
| A simple constraint-based algorithm for efficiently mining observational databases for causal relationships GF Cooper Data Mining and Knowledge Discovery 1, 203-224, 1997 | 246 | 1997 |
| Reflection and action under scarce resources: Theoretical principles and empirical study EJ Horvitz, GF Cooper, DE Heckerman IJCAI 2, 1121-1127, 1989 | 235 | 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 | 207 | 2001 |
