Marek J. Druzdzel

Affiliations: 
University of Pittsburgh, Pittsburgh, PA, United States 
Area:
decision analysis, decision theory, information science, computer science, artificial intelligence
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"Marek Druzdzel"
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Publications

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Zagorecki A, Łupińska-Dubicka A, Voortman M, et al. (2016) Modeling Women's Menstrual Cycles using PICI Gates in Bayesian Network. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 70: 123-136
Loghmanpour NA, Kanwar MK, Druzdzel MJ, et al. (2015) A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality. Asaio Journal (American Society For Artificial Internal Organs : 1992). 61: 313-23
Ratnapinda P, Druzdzel MJ. (2015) Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy? Journal of Applied Logic
Loghmanpour NA, Druzdzel MJ, Antaki JF. (2014) Cardiac Health Risk Stratification System (CHRiSS): a Bayesian-based decision support system for left ventricular assist device (LVAD) therapy. Plos One. 9: e111264
Oniśko A, Druzdzel MJ. (2014) Impact of Bayesian network model structure on the accuracy of medical diagnostic systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8468: 167-178
Nowak K, Druzdzel MJ. (2014) Learning parameters in canonical models using weighted least squares Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8754: 366-381
de Jongh M, Druzdzel MJ. (2014) Evaluation of rules for coping with insufficient data in constraint-based search algorithms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8754: 190-205
Ratnapinda P, Druzdzel MJ. (2014) An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 508-511
Kraisangka J, Druzdzel MJ, Druzdz MJ. (2014) Discrete Bayesian network interpretation of the Cox’s Proportional Hazards model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8754: 238-253
Oni?ko A, Druzdzel MJ. (2013) Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artificial Intelligence in Medicine. 57: 197-206
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