Marek J. Druzdzel

According to our database, Marek J. Druzdzel authored at least 86 papers between 1990 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

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

Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran

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].

Jidapa Kraisangka, Marek J. Druzdzel

Int. J. Approx. Reason., 2019

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

Dmitriy Babichenko, Marek J. Druzdzel, Neal Benedict, Gary Tabas, James B. McGee

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

Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison.

Jidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar, James F. Antaki, Raymond L. Benza

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

A Bayesian network interpretation of the Cox's proportional hazard model.

Jidapa Kraisangka, Marek J. Druzdzel

Int. J. Approx. Reason., 2018

2017

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

Mario A. Cypko, Matthaeus Stoehr, Marcin Kozniewski, Marek J. Druzdzel, Andreas Dietz, Leonard Berliner, Heinz U. Lemke

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

2016

Modeling women's menstrual cycles using PICI gates in Bayesian network.

Adam Zagorecki, Anna Lupinska-Dubicka, Mark Voortman, Marek J. Druzdzel

Int. J. Approx. Reason., 2016

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

Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza

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

Designing the model patient: Data-driven virtual patients in medical education.

Dmitriy Babichenko, Marek J. Druzdzel, Lorin Grieve, Ravi Patel, Jonathan Velez, Taylor Neal, James McCray, Rae-Djamaal Wallace, Sean Jenkins

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

Making Large Cox's Proportional Hazard Models Tractable in Bayesian Networks.

Jidapa Kraisangka, Marek J. Druzdzel

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?

Parot Ratnapinda, Marek J. Druzdzel

J. Appl. Log., 2015

An Approximation of Surprise Index as a Measure of Confidence.

Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel

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

Prediction and Prognosis of Health and Disease.

Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

Modeling Dynamic Processes with Memory by Higher Order Temporal Models.

Anna Lupinska-Dubicka, Marek J. Druzdzel

Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014

Learning Parameters in Canonical Models Using Weighted Least Squares.

Krzysztof Nowak, Marek J. Druzdzel

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

Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards Model.

Jidapa Kraisangka, Marek J. Druzdzel

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

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

Martijn de Jongh, Marek J. Druzdzel

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

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

Agnieszka Onisko, Marek J. Druzdzel

Proceedings of the Artificial Intelligence and Soft Computing, 2014

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

Parot Ratnapinda, Marek J. Druzdzel

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?

Adam Zagorecki, Marek J. Druzdzel

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

Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning

Max Henrion, Marek J. Druzdzel

CoRR, 2013

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

Denver Dash, Marek J. Druzdzel

CoRR, 2013

Causal Mechanism-based Model Construction

Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong

CoRR, 2013

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

Agnieszka Onisko, Marek J. Druzdzel

Artif. Intell. Medicine, 2013

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

Parot Ratnapinda, Marek J. Druzdzel

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

2012

A Robust Independence Test for Constraint-Based Learning of Causal Structure

Denver Dash, Marek J. Druzdzel

CoRR, 2012

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

Changhe Yuan, Marek J. Druzdzel

CoRR, 2012

2010

Learning Causal Models That Make Correct Manipulation Predictions.

Mark Voortman, Denver Dash, Marek J. Druzdzel

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

Learning Why Things Change: The Difference-Based Causality Learner.

Mark Voortman, Denver Dash, Marek J. Druzdzel

Proceedings of the UAI 2010, 2010

2009

Interactive construction of graphical decision models based on causal mechanisms.

Tsai-Ching Lu, Marek J. Druzdzel

Eur. J. Oper. Res., 2009

Passive construction of diagnostic decision models: An empirical evaluation.

Parot Ratnapinda, Marek J. Druzdzel

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

Rapid modeling and analysis with QGENIE.

Marek J. Druzdzel

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

Workshop summary: Seventh annual workshop on Bayes applications.

John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij

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

2008

A note on the correctness of the causal ordering algorithm.

Denver Dash, Marek J. Druzdzel

Artif. Intell., 2008

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

Marek J. Druzdzel, Agnieszka Onisko

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.

Mark Voortman, Marek J. Druzdzel

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

2007

Importance Sampling for General Hybrid Bayesian Networks.

Changhe Yuan, Marek J. Druzdzel

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

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

Changhe Yuan, Marek J. Druzdzel

Int. J. Approx. Reason., 2007

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

Martinus de Jongh, Marek J. Druzdzel, Léon J. M. Rothkrantz

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

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

Changhe Yuan, Marek J. Druzdzel

Proceedings of the Advances in Artificial Intelligence, 2007

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

Changhe Yuan, Marek J. Druzdzel

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

2006

Importance sampling algorithms for Bayesian networks: Principles and performance.

Changhe Yuan, Marek J. Druzdzel

Math. Comput. Model., 2006

Probabilistic Independence of Causal Influences.

Adam Zagorecki, Marek J. Druzdzel

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

Hybrid Loopy Belief Propagation.

Changhe Yuan, Marek J. Druzdzel

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

Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks.

Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan

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

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

Adam Zagorecki, Mark Voortman, Marek J. Druzdzel

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

2005

Reports on the 2005 AAAI Spring Symposium Series.

Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro M. Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann LuperFoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen

AI Mag., 2005

How Heavy Should the Tails Be?

Changhe Yuan, Marek J. Druzdzel

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

Mechanism-based Causal Models for Adaptive Decision Support.

Tsai-Ching Lu, Marek J. Druzdzel

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

Preface.

Marek J. Druzdzel, Tze-Yun Leong

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

Organizing Committee.

Marek J. Druzdzel, Tze-Yun Leong

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

2004

Annealed MAP.

Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel

Proceedings of the UAI '04, 2004

An Empirical Study of Probability Elicitation Under Noisy-OR Assumption.

Adam Zagorecki, Marek J. Druzdzel

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

2003

Combining Knowledge from Different Sources in Causal Probabilistic Models.

Marek J. Druzdzel, Francisco Javier Díez

J. Mach. Learn. Res., 2003

An Importance Sampling Algorithm Based on Evidence Pre-propagation.

Changhe Yuan, Marek J. Druzdzel

Proceedings of the UAI '03, 2003

Robust Independence Testing for Constraint-Based Learning of Causal Structure.

Denver Dash, Marek J. Druzdzel

Proceedings of the UAI '03, 2003

2002

A method for evaluating elicitation schemes for probabilistic models.

Haiqin Wang, Denver Dash, Marek J. Druzdzel

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

Causal Models, Value of Intervention, and Search for Opportunities.

Tsai-Ching Lu, Marek J. Druzdzel

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.

Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk

Proceedings of the Intelligent Information Systems 2002, 2002

2001

Causal reversibility in Bayesian networks.

Marek J. Druzdzel, Hans van Leijen

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

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

Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk

Int. J. Approx. Reason., 2001

Confidence Inference in Bayesian Networks.

Jian Cheng, Marek J. Druzdzel

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

A Method for Evaluating Elicitation Schemes for Probabilities.

Haiqin Wang, Denver Dash, Marek J. Druzdzel

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

Supporting Changes in Structure in Causal Model Construction.

Tsai-Ching Lu, Marek J. Druzdzel

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

Caveats for Causal Reasoning with Equilibrium Models.

Denver Dash, Marek J. Druzdzel

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

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

Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel

Proceedings of the Artificial Intelligence Medicine, 2001

2000

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

Marek J. Druzdzel, Linda C. van der Gaag

IEEE Trans. Knowl. Data Eng., 2000

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

Jian Cheng, Marek J. Druzdzel

J. Artif. Intell. Res., 2000

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

Haiqin Wang, Marek J. Druzdzel

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

Causal Mechanism-based Model Constructions.

Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong

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.

Jian Cheng, Marek J. Druzdzel

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

Latin Hypercube Sampling in Bayesian Networks.

Jian Cheng, Marek J. Druzdzel

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

1999

Relevance-Based Incremental Belief Updating in Bayesian Networks.

Yan Lin, Marek J. Druzdzel

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

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

Denver Dash, Marek J. Druzdzel

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

Knowledge Engineering for Very Large Decision-analytic Medical Models.

Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk

Proceedings of the AMIA 1999, 1999

GeNIe: A Development Environment for Graphical Decision-Analytic Models.

Marek J. Druzdzel

Proceedings of the AMIA 1999, 1999

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

Marek J. Druzdzel

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

1998

Relevance-Based Sequential Evidence Processing in Bayesian Networks.

Yan Lin, Marek J. Druzdzel

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.

Marek J. Druzdzel

Fundam. Informaticae, 1997

Computational Advantages of Relevance Reasoning in Bayesian Belief Networks.

Yan Lin, Marek J. Druzdzel

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.

Marek J. Druzdzel, Linda C. van der Gaag

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

1994

Some Properties of joint Probability Distributions.

Marek J. Druzdzel

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

1993

Causality in Bayesian Belief Networks.

Marek J. Druzdzel, Herbert A. Simon

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

Intercausal Reasoning with Uninstantiated Ancestor Nodes.

Marek J. Druzdzel, Max Henrion

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

Efficient Reasoning in Qualitative Probabilistic Networks.

Marek J. Druzdzel, Max Henrion

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

1990

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

Max Henrion, Marek J. Druzdzel

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