Marek J. Druzdzel

102 papers A* 4A 17B 2C 2Misc 11Journal 40Unranked 24

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Sensitivity of Bayesian Networks to Errors in Their Structure. Entropy Agnieszka Onisko, Marek J. Druzdzel
2024	J	`jnl`	Sensitivity of Bayesian Networks to Noise in Their Parameters. Entropy Agnieszka Onisko, Marek J. Druzdzel
2021	J	`jnl`	Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
2019	B	`conf`	Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison. AIME Jidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar, James F. Antaki, Raymond L. Benza
2019	J	`jnl`	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. Jidapa Kraisangka, Marek J. Druzdzel
2019	—	`conf`	Moving Beyond Branching: Evaluating Educational Impact of Procedurally-Generated Virtual Patients. SeGAH Dmitriy Babichenko, Marek J. Druzdzel, Neal Benedict, Gary Tabas, James B. McGee
2018	J	`jnl`	A Bayesian network interpretation of the Cox's proportional hazard model. Int. J. Approx. Reason. Jidapa Kraisangka, Marek J. Druzdzel
2017	J	`jnl`	Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment. Int. J. Comput. Assist. Radiol. Surg. Mario A. Cypko, Matthaeus Stoehr, Marcin Kozniewski, Marek J. Druzdzel, Andreas Dietz, Leonard Berliner, Heinz U. Lemke
2016	—	`conf`	A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. BMA@UAI Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza
2016	—	`conf`	Designing the model patient: Data-driven virtual patients in medical education. SeGAH Dmitriy Babichenko, Marek J. Druzdzel, Lorin Grieve, Ravi Patel, Jonathan Velez, Taylor Neal, James McCray, Rae-Djamaal Wallace, Sean Jenkins
2016	—	`conf`	Making Large Cox's Proportional Hazard Models Tractable in Bayesian Networks. Probabilistic Graphical Models Jidapa Kraisangka, Marek J. Druzdzel
2016	J	`jnl`	Modeling women's menstrual cycles using PICI gates in Bayesian network. Int. J. Approx. Reason. Adam Zagorecki, Anna Lupinska-Dubicka, Mark Voortman, Marek J. Druzdzel
2015	—	`conf`	An Approximation of Surprise Index as a Measure of Confidence. AAAI Fall Symposia Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel
2015	J	`jnl`	Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy? J. Appl. Log. Parot Ratnapinda, Marek J. Druzdzel
2015	—	`ch.`	Modeling Dynamic Processes with Memory by Higher Order Temporal Models. Foundations of Biomedical Knowledge Representation Anna Lupinska-Dubicka, Marek J. Druzdzel
2015	—	`ch.`	Prediction and Prognosis of Health and Disease. Foundations of Biomedical Knowledge Representation Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel
2014	Misc	`conf`	An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs. FLAIRS Parot Ratnapinda, Marek J. Druzdzel
2014	—	`conf`	Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards Model. Probabilistic Graphical Models Jidapa Kraisangka, Marek J. Druzdzel
2014	—	`conf`	Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms. Probabilistic Graphical Models Martijn de Jongh, Marek J. Druzdzel
2014	—	`conf`	Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems. ICAISC (2) Agnieszka Onisko, Marek J. Druzdzel
2014	—	`conf`	Learning Parameters in Canonical Models Using Weighted Least Squares. Probabilistic Graphical Models Krzysztof Nowak, Marek J. Druzdzel
2013	J	`jnl`	A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data CoRR Denver Dash, Marek J. Druzdzel
2013	Misc	`conf`	An Empirical Comparison of Bayesian Network Parameter Learning Algorithms for Continuous Data Streams. FLAIRS Parot Ratnapinda, Marek J. Druzdzel
2013	J	`jnl`	Causal Mechanism-based Model Construction CoRR Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
2013	J	`jnl`	Causality in Bayesian Belief Networks CoRR Marek J. Druzdzel, Herbert A. Simon
2013	J	`jnl`	Computational Advantages of Relevance Reasoning in Bayesian Belief Networks CoRR Yan Lin, Marek J. Druzdzel
2013	J	`jnl`	Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks CoRR Jian Cheng, Marek J. Druzdzel
2013	J	`jnl`	Confidence Inference in Bayesian Networks CoRR Jian Cheng, Marek J. Druzdzel
2013	J	`jnl`	Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information CoRR Marek J. Druzdzel, Linda C. van der Gaag
2013	J	`jnl`	Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artif. Intell. Medicine Agnieszka Onisko, Marek J. Druzdzel
2013	J	`jnl`	Intercausal Reasoning with Uninstantiated Ancestor Nodes CoRR Marek J. Druzdzel, Max Henrion
2013	J	`jnl`	Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? IEEE Trans. Syst. Man Cybern. Syst. Adam Zagorecki, Marek J. Druzdzel
2013	J	`jnl`	Qualitative Propagation and Scenario-based Explanation of Probabilistic Reasoning CoRR Max Henrion, Marek J. Druzdzel
2013	J	`jnl`	Some Properties of Joint Probability Distributions CoRR Marek J. Druzdzel
2013	J	`jnl`	User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks CoRR Haiqin Wang, Marek J. Druzdzel
2012	J	`jnl`	A Robust Independence Test for Constraint-Based Learning of Causal Structure CoRR Denver Dash, Marek J. Druzdzel
2012	J	`jnl`	An Importance Sampling Algorithm Based on Evidence Pre-propagation CoRR Changhe Yuan, Marek J. Druzdzel
2012	J	`jnl`	Annealed MAP CoRR Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2012	J	`jnl`	Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions CoRR Changhe Yuan, Marek J. Druzdzel
2012	J	`jnl`	Learning Why Things Change: The Difference-Based Causality Learner CoRR Mark Voortman, Denver Dash, Marek J. Druzdzel
2011	J	`jnl`	AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks CoRR Jian Cheng, Marek J. Druzdzel
2010	—	`conf`	Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment Mark Voortman, Denver Dash, Marek J. Druzdzel
2010	A	`conf`	Learning Why Things Change: The Difference-Based Causality Learner. UAI Mark Voortman, Denver Dash, Marek J. Druzdzel
2009	J	`jnl`	Interactive construction of graphical decision models based on causal mechanisms. Eur. J. Oper. Res. Tsai-Ching Lu, Marek J. Druzdzel
2009	—	`conf`	Passive construction of diagnostic decision models: An empirical evaluation. IMCSIT Parot Ratnapinda, Marek J. Druzdzel
2009	—	`conf`	Rapid modeling and analysis with QGENIE. IMCSIT Marek J. Druzdzel
2009	A*	`conf`	Workshop summary: Seventh annual workshop on Bayes applications. ICML John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij
2008	J	`jnl`	A note on the correctness of the causal ordering algorithm. Artif. Intell. Denver Dash, Marek J. Druzdzel
2008	Misc	`conf`	Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. FLAIRS Mark Voortman, Marek J. Druzdzel
2008	—	`conf`	The impact of overconfidence bias on practical accuracy of Bayesian network models: an empirical study. BMA Marek J. Druzdzel, Agnieszka Onisko
2007	A*	`conf`	Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
2007	A*	`conf`	Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI Changhe Yuan, Marek J. Druzdzel
2007	—	`conf`	Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks. CompSysTech Martinus de Jongh, Marek J. Druzdzel, Léon J. M. Rothkrantz
2007	A	`conf`	Importance Sampling for General Hybrid Bayesian Networks. AISTATS Changhe Yuan, Marek J. Druzdzel
2007	—	`conf`	Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian AI Changhe Yuan, Marek J. Druzdzel
2007	J	`jnl`	Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reason. Changhe Yuan, Marek J. Druzdzel
2006	Misc	`conf`	Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
2006	—	`conf`	Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
2006	—	`conf`	Hybrid Loopy Belief Propagation. Probabilistic Graphical Models Changhe Yuan, Marek J. Druzdzel
2006	J	`jnl`	Importance sampling algorithms for Bayesian networks: Principles and performance. Math. Comput. Model. Changhe Yuan, Marek J. Druzdzel
2006	A	`conf`	Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI Adam Zagorecki, Marek J. Druzdzel
2006	—	`conf`	Probabilistic Independence of Causal Influences. Probabilistic Graphical Models Adam Zagorecki, Marek J. Druzdzel
2005	Misc	`conf`	How Heavy Should the Tails Be? FLAIRS Changhe Yuan, Marek J. Druzdzel
2005	—	`conf`	Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Tsai-Ching Lu, Marek J. Druzdzel
2005	—	`conf`	Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Marek J. Druzdzel, Tze-Yun Leong
2005	—	`conf`	Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World Marek J. Druzdzel, Tze-Yun Leong
2005	J	`jnl`	Reports on the 2005 AAAI Spring Symposium Series. AI Mag. 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
2004	Misc	`conf`	An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Adam Zagorecki, Marek J. Druzdzel
2004	A	`conf`	Annealed MAP. UAI Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2003	A	`conf`	An Importance Sampling Algorithm Based on Evidence Pre-propagation. UAI Changhe Yuan, Marek J. Druzdzel
2003	J	`jnl`	Combining Knowledge from Different Sources in Causal Probabilistic Models. J. Mach. Learn. Res. Marek J. Druzdzel, Francisco Javier Díez
2003	A	`conf`	Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI Denver Dash, Marek J. Druzdzel
2002	J	`jnl`	A method for evaluating elicitation schemes for probabilistic models. IEEE Trans. Syst. Man Cybern. Part B Haiqin Wang, Denver Dash, Marek J. Druzdzel
2002	—	`conf`	An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks. Intelligent Information Systems Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
2002	—	`conf`	Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models Tsai-Ching Lu, Marek J. Druzdzel
2001	Misc	`conf`	A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS Haiqin Wang, Denver Dash, Marek J. Druzdzel
2001	J	`jnl`	Causal reversibility in Bayesian networks. J. Exp. Theor. Artif. Intell. Marek J. Druzdzel, Hans van Leijen
2001	C	`conf`	Caveats for Causal Reasoning with Equilibrium Models. ECSQARU Denver Dash, Marek J. Druzdzel
2001	B	`conf`	Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel
2001	A	`conf`	Confidence Inference in Bayesian Networks. UAI Jian Cheng, Marek J. Druzdzel
2001	J	`jnl`	Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. Int. J. Approx. Reason. Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
2001	C	`conf`	Supporting Changes in Structure in Causal Model Construction. ECSQARU Tsai-Ching Lu, Marek J. Druzdzel
2000	J	`jnl`	AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. J. Artif. Intell. Res. Jian Cheng, Marek J. Druzdzel
2000	J	`jnl`	Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. Marek J. Druzdzel, Linda C. van der Gaag
2000	A	`conf`	Causal Mechanism-based Model Constructions. UAI Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
2000	A	`conf`	Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. UAI Jian Cheng, Marek J. Druzdzel
2000	Misc	`conf`	Latin Hypercube Sampling in Bayesian Networks. FLAIRS Jian Cheng, Marek J. Druzdzel
2000	A	`conf`	User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI Haiqin Wang, Marek J. Druzdzel
1999	A	`conf`	A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI Denver Dash, Marek J. Druzdzel
1999	Misc	`conf`	GeNIe: A Development Environment for Graphical Decision-Analytic Models. AMIA Marek J. Druzdzel
1999	Misc	`conf`	Knowledge Engineering for Very Large Decision-analytic Medical Models. AMIA Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk
1999	J	`jnl`	Relevance-Based Incremental Belief Updating in Bayesian Networks. Int. J. Pattern Recognit. Artif. Intell. Yan Lin, Marek J. Druzdzel
1999	—	`conf`	SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models. AAAI/IAAI Marek J. Druzdzel
1998	Misc	`conf`	Relevance-Based Sequential Evidence Processing in Bayesian Networks. FLAIRS Yan Lin, Marek J. Druzdzel
1997	A	`conf`	Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. UAI Yan Lin, Marek J. Druzdzel
1997	J	`jnl`	Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems. Fundam. Informaticae Marek J. Druzdzel
1995	A	`conf`	Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI Marek J. Druzdzel, Linda C. van der Gaag
1994	A	`conf`	Some Properties of joint Probability Distributions. UAI Marek J. Druzdzel
1993	A	`conf`	Causality in Bayesian Belief Networks. UAI Marek J. Druzdzel, Herbert A. Simon
1993	A*	`conf`	Efficient Reasoning in Qualitative Probabilistic Networks. AAAI Marek J. Druzdzel, Max Henrion
1993	A	`conf`	Intercausal Reasoning with Uninstantiated Ancestor Nodes. UAI Marek J. Druzdzel, Max Henrion
1990	A	`conf`	Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. UAI Max Henrion, Marek J. Druzdzel