Marek J. Druzdzel

Publication Activity (10 Years)

Years Active: 1990-2021
Publications (10 Years): 12

Top Topics

Causal Structure

Conditional Probability Tables

Bayesian Networks

Network Parameters

Top Venues

Probabilistic Graphical Models

Int. J. Approx. Reason.

Publications

Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Jidapa Kraisangka, Marek J. Druzdzel
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. 111 (2019)
Jidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar, James F. Antaki, Raymond L. Benza
Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison. AIME (2019)
Dmitriy Babichenko, Marek J. Druzdzel, Neal Benedict, Gary Tabas, James B. McGee
Moving Beyond Branching: Evaluating Educational Impact of Procedurally-Generated Virtual Patients. SeGAH (2019)
Jidapa Kraisangka, Marek J. Druzdzel
A Bayesian network interpretation of the Cox's proportional hazard model. Int. J. Approx. Reason. 103 (2018)
Mario A. Cypko, Matthaeus Stoehr, Marcin Kozniewski, Marek J. Druzdzel, Andreas Dietz, Leonard Berliner, Heinz U. Lemke
Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment. Int. J. Comput. Assist. Radiol. Surg. 12 (11) (2017)
Adam Zagorecki, Anna Lupinska-Dubicka, Mark Voortman, Marek J. Druzdzel
Modeling women's menstrual cycles using PICI gates in Bayesian network. Int. J. Approx. Reason. 70 (2016)
Dmitriy Babichenko, Marek J. Druzdzel, Lorin Grieve, Ravi Patel, Jonathan Velez, Taylor Neal, James McCray, Rae-Djamaal Wallace, Sean Jenkins
Designing the model patient: Data-driven virtual patients in medical education. SeGAH (2016)
Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza
A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. BMA@UAI (2016)
Jidapa Kraisangka, Marek J. Druzdzel
Making Large Cox's Proportional Hazard Models Tractable in Bayesian Networks. Probabilistic Graphical Models (2016)
Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel
An Approximation of Surprise Index as a Measure of Confidence. AAAI Fall Symposia (2015)
Parot Ratnapinda, Marek J. Druzdzel
Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy? J. Appl. Log. 13 (4) (2015)
Agnieszka Onisko, Marek J. Druzdzel
Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems. ICAISC (2) (2014)
Parot Ratnapinda, Marek J. Druzdzel
An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs. FLAIRS Conference (2014)
Krzysztof Nowak, Marek J. Druzdzel
Learning Parameters in Canonical Models Using Weighted Least Squares. Probabilistic Graphical Models (2014)
Martijn de Jongh, Marek J. Druzdzel
Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms. Probabilistic Graphical Models (2014)
Jidapa Kraisangka, Marek J. Druzdzel
Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards Model. Probabilistic Graphical Models (2014)
Agnieszka Onisko, Marek J. Druzdzel
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artif. Intell. Medicine 57 (3) (2013)
Jian Cheng, Marek J. Druzdzel
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks CoRR (2013)
Yan Lin, Marek J. Druzdzel
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks CoRR (2013)
Marek J. Druzdzel, Max Henrion
Intercausal Reasoning with Uninstantiated Ancestor Nodes CoRR (2013)
Haiqin Wang, Marek J. Druzdzel
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks CoRR (2013)
Parot Ratnapinda, Marek J. Druzdzel
An Empirical Comparison of Bayesian Network Parameter Learning Algorithms for Continuous Data Streams. FLAIRS Conference (2013)
Marek J. Druzdzel, Herbert A. Simon
Causality in Bayesian Belief Networks CoRR (2013)
Marek J. Druzdzel, Linda C. van der Gaag
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information CoRR (2013)
Denver Dash, Marek J. Druzdzel
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data CoRR (2013)
Jian Cheng, Marek J. Druzdzel
Confidence Inference in Bayesian Networks CoRR (2013)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Construction CoRR (2013)
Adam Zagorecki, Marek J. Druzdzel
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? IEEE Trans. Syst. Man Cybern. Syst. 43 (1) (2013)
Marek J. Druzdzel
Some Properties of Joint Probability Distributions CoRR (2013)
Max Henrion, Marek J. Druzdzel
Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning CoRR (2013)
Changhe Yuan, Marek J. Druzdzel
An Importance Sampling Algorithm Based on Evidence Pre-propagation CoRR (2012)
Denver Dash, Marek J. Druzdzel
A Robust Independence Test for Constraint-Based Learning of Causal Structure CoRR (2012)
Changhe Yuan, Marek J. Druzdzel
Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions CoRR (2012)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Why Things Change: The Difference-Based Causality Learner CoRR (2012)
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
Annealed MAP CoRR (2012)
Jian Cheng, Marek J. Druzdzel
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks CoRR (2011)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Why Things Change: The Difference-Based Causality Learner. UAI (2010)
Mark Voortman, Denver Dash, Marek J. Druzdzel
Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment (2010)
John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij
Workshop summary: Seventh annual workshop on Bayes applications. ICML (2009)
Tsai-Ching Lu, Marek J. Druzdzel
Interactive construction of graphical decision models based on causal mechanisms. Eur. J. Oper. Res. 199 (3) (2009)
Parot Ratnapinda, Marek J. Druzdzel
Passive construction of diagnostic decision models: An empirical evaluation. IMCSIT (2009)
Marek J. Druzdzel
Rapid modeling and analysis with QGENIE. IMCSIT (2009)
Marek J. Druzdzel, Agnieszka Onisko
The impact of overconfidence bias on practical accuracy of Bayesian network models: an empirical study. BMA (2008)
Mark Voortman, Marek J. Druzdzel
Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. FLAIRS Conference (2008)
Denver Dash, Marek J. Druzdzel
A note on the correctness of the causal ordering algorithm. Artif. Intell. 172 (15) (2008)
Changhe Yuan, Marek J. Druzdzel
Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI (2007)
Changhe Yuan, Marek J. Druzdzel
Importance Sampling for General Hybrid Bayesian Networks. AISTATS (2007)
Martinus de Jongh, Marek J. Druzdzel, Léon J. M. Rothkrantz
Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks. CompSysTech (2007)
Changhe Yuan, Marek J. Druzdzel
Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reason. 46 (2) (2007)
Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI (2007)
Changhe Yuan, Marek J. Druzdzel
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian Conference on AI (2007)
Adam Zagorecki, Marek J. Druzdzel
Probabilistic Independence of Causal Influences. Probabilistic Graphical Models (2006)
Changhe Yuan, Marek J. Druzdzel
Hybrid Loopy Belief Propagation. Probabilistic Graphical Models (2006)
Adam Zagorecki, Marek J. Druzdzel
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI (2006)
Changhe Yuan, Marek J. Druzdzel
Importance sampling algorithms for Bayesian networks: Principles and performance. Math. Comput. Model. 43 (9-10) (2006)
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS Conference (2006)
Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models (2006)
Changhe Yuan, Marek J. Druzdzel
How Heavy Should the Tails Be? FLAIRS Conference (2005)
Tsai-Ching Lu, Marek J. Druzdzel
Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Marek J. Druzdzel, Tze-Yun Leong
Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Marek J. Druzdzel, Tze-Yun Leong
Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
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
Reports on the 2005 AAAI Spring Symposium Series. AI Mag. 26 (2) (2005)
Adam Zagorecki, Marek J. Druzdzel
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Conference (2004)
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
Annealed MAP. UAI (2004)
Changhe Yuan, Marek J. Druzdzel
An Importance Sampling Algorithm Based on Evidence Pre-propagation. UAI (2003)
Marek J. Druzdzel, Francisco Javier Díez
Combining Knowledge from Different Sources in Causal Probabilistic Models. J. Mach. Learn. Res. 4 (2003)
Denver Dash, Marek J. Druzdzel
Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI (2003)
Tsai-Ching Lu, Marek J. Druzdzel
Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models (2002)
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks. Intelligent Information Systems (2002)
Haiqin Wang, Denver Dash, Marek J. Druzdzel
A method for evaluating elicitation schemes for probabilistic models. IEEE Trans. Syst. Man Cybern. Part B 32 (1) (2002)
Jian Cheng, Marek J. Druzdzel
Confidence Inference in Bayesian Networks. UAI (2001)
Marek J. Druzdzel, Hans van Leijen
Causal reversibility in Bayesian networks. J. Exp. Theor. Artif. Intell. 13 (1) (2001)
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. Int. J. Approx. Reason. 27 (2) (2001)
Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel
Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME (2001)
Tsai-Ching Lu, Marek J. Druzdzel
Supporting Changes in Structure in Causal Model Construction. ECSQARU (2001)
Haiqin Wang, Denver Dash, Marek J. Druzdzel
A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS Conference (2001)
Denver Dash, Marek J. Druzdzel
Caveats for Causal Reasoning with Equilibrium Models. ECSQARU (2001)
Haiqin Wang, Marek J. Druzdzel
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI (2000)
Marek J. Druzdzel, Linda C. van der Gaag
Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. 12 (4) (2000)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Constructions. UAI (2000)
Jian Cheng, Marek J. Druzdzel
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. J. Artif. Intell. Res. 13 (2000)
Jian Cheng, Marek J. Druzdzel
Latin Hypercube Sampling in Bayesian Networks. FLAIRS Conference (2000)
Jian Cheng, Marek J. Druzdzel
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. UAI (2000)
Marek J. Druzdzel
GeNIe: A Development Environment for Graphical Decision-Analytic Models. AMIA (1999)
Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk
Knowledge Engineering for Very Large Decision-analytic Medical Models. AMIA (1999)
Denver Dash, Marek J. Druzdzel
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI (1999)
Yan Lin, Marek J. Druzdzel
Relevance-Based Incremental Belief Updating in Bayesian Networks. Int. J. Pattern Recognit. Artif. Intell. 13 (2) (1999)
Marek J. Druzdzel
SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models. AAAI/IAAI (1999)
Yan Lin, Marek J. Druzdzel
Relevance-Based Sequential Evidence Processing in Bayesian Networks. FLAIRS Conference (1998)
Yan Lin, Marek J. Druzdzel
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. UAI (1997)
Marek J. Druzdzel
Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems. Fundam. Informaticae 30 (3/4) (1997)
Marek J. Druzdzel, Linda C. van der Gaag
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI (1995)
Marek J. Druzdzel
Some Properties of joint Probability Distributions. UAI (1994)
Marek J. Druzdzel, Herbert A. Simon
Causality in Bayesian Belief Networks. UAI (1993)
Marek J. Druzdzel, Max Henrion
Intercausal Reasoning with Uninstantiated Ancestor Nodes. UAI (1993)
Marek J. Druzdzel, Max Henrion
Efficient Reasoning in Qualitative Probabilistic Networks. AAAI (1993)
Max Henrion, Marek J. Druzdzel
Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. UAI (1990)