# Marek J. Druzdzel

Orcid: 0000-0002-7598-2286Affiliations:

- University of Pittsburgh, Pennsylvania, USA

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Collaborative distances:

^{1}, Marek J. Druzdzel authored at least 86 papers between 1990 and 2021.Collaborative distances:

## Timeline

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## Bibliography

2021

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi.

BMC Medical Informatics Decis. Mak., 2021

2019

Corrigendum to "A Bayesian network interpretation of the Cox's proportional hazard model" [Int. J. Approx. Reason. 103 (2018) 195-211].

Int. J. Approx. Reason., 2019

Moving Beyond Branching: Evaluating Educational Impact of Procedurally-Generated Virtual Patients.

Proceedings of the 7th IEEE International Conference on Serious Games and Applications for Health, 2019

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Int. J. Approx. Reason., 2018

2017

Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment.

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

Int. J. Approx. Reason., 2016

A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network.

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?

J. Appl. Log., 2015

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms.

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems.

Proceedings of the Artificial Intelligence and Soft Computing, 2014

An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs.

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013

Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?

IEEE Trans. Syst. Man Cybern. Syst., 2013

CoRR, 2013

A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data

CoRR, 2013

CoRR, 2013

Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems.

Artif. Intell. Medicine, 2013

An Empirical Comparison of Bayesian Network Parameter Learning Algorithms for Continuous Data Streams.

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012

CoRR, 2012

Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions

CoRR, 2012

2010

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Proceedings of the UAI 2010, 2010

2009

Eur. J. Oper. Res., 2009

Proceedings of the International Multiconference on Computer Science and Information Technology, 2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Artif. Intell., 2008

The impact of overconfidence bias on practical accuracy of Bayesian network models: an empirical study.

Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop Helsinki, 2008

Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality.

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Theoretical analysis and practical insights on importance sampling in Bayesian networks.

Int. J. Approx. Reason., 2007

Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks.

Proceedings of the 2007 International Conference on Computer Systems and Technologies, 2007

Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks.

Proceedings of the Advances in Artificial Intelligence, 2007

Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks.

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Math. Comput. Model., 2006

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning.

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

AI Mag., 2005

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Proceedings of the Challenges to Decision Support in a Changing World, 2005

Proceedings of the Challenges to Decision Support in a Changing World, 2005

Proceedings of the Challenges to Decision Support in a Changing World, 2005

2004

Proceedings of the UAI '04, 2004

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003

J. Mach. Learn. Res., 2003

Proceedings of the UAI '03, 2003

Proceedings of the UAI '03, 2003

2002

IEEE Trans. Syst. Man Cybern. Part B, 2002

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks.

Proceedings of the Intelligent Information Systems 2002, 2002

2001

J. Exp. Theor. Artif. Intell., 2001

Learning Bayesian network parameters from small data sets: application of Noisy-OR gates.

Int. J. Approx. Reason., 2001

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems.

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction.

IEEE Trans. Knowl. Data Eng., 2000

AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks.

J. Artif. Intell. Res., 2000

User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks.

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks.

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

1999

Int. J. Pattern Recognit. Artif. Intell., 1999

A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Proceedings of the AMIA 1999, 1999

Proceedings of the AMIA 1999, 1999

SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models.

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997

Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems.

Fundam. Informaticae, 1997

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1995

Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information.

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1994

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1990

Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning.

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990