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Marek J. Druzdzel
- > Home > Persons > Marek J. Druzdzel
Publications
- 2021
- [j20]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): 158 (2021) - 2017
- [j17]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): 1959-1970 (2017) - 2016
- [j16]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: 123-136 (2016) - 2015
- [c55]Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel:
An Approximation of Surprise Index as a Measure of Confidence. AAAI Fall Symposia 2015: 39- - [p2]Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel:
Prediction and Prognosis of Health and Disease. Foundations of Biomedical Knowledge Representation 2015: 181-188 - [p1]Anna Lupinska-Dubicka, Marek J. Druzdzel:
Modeling Dynamic Processes with Memory by Higher Order Temporal Models. Foundations of Biomedical Knowledge Representation 2015: 219-232 - 2014
- [c53]Agnieszka Onisko, Marek J. Druzdzel:
Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems. ICAISC (2) 2014: 167-178 - [c52]Martijn de Jongh, Marek J. Druzdzel:
Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms. Probabilistic Graphical Models 2014: 190-205 - 2013
- [j14]Agnieszka Onisko, Marek J. Druzdzel:
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artif. Intell. Medicine 57(3): 197-206 (2013) - [j13]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): 186-195 (2013) - [i14]Haiqin Wang, Marek J. Druzdzel:
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. CoRR abs/1301.4430 (2013) - [i13]Denver Dash, Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data. CoRR abs/1301.6689 (2013) - [i11]Marek J. Druzdzel, Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. CoRR abs/1302.4943 (2013) - 2012
- [i6]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Why Things Change: The Difference-Based Causality Learner. CoRR abs/1203.3525 (2012) - [i3]Denver Dash, Marek J. Druzdzel:
A Robust Independence Test for Constraint-Based Learning of Causal Structure. CoRR abs/1212.2464 (2012) - 2010
- [c48]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Why Things Change: The Difference-Based Causality Learner. UAI 2010: 641-650 - [c47]Mark Voortman, Denver Dash, Marek J. Druzdzel:
Learning Causal Models That Make Correct Manipulation Predictions. NIPS Causality: Objectives and Assessment 2010: 257-266 - 2009
- [c46]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: 3 - 2008
- [j11]Denver Dash, Marek J. Druzdzel:
A note on the correctness of the causal ordering algorithm. Artif. Intell. 172(15): 1800-1808 (2008) - [c43]Mark Voortman, Marek J. Druzdzel:
Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. FLAIRS 2008: 690-695 - [c42]Marek J. Druzdzel, Agnieszka Onisko:
The impact of overconfidence bias on practical accuracy of Bayesian network models: an empirical study. BMA 2008 - 2006
- [c36]Adam Zagorecki, Marek J. Druzdzel:
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI 2006: 482- - [c35]Adam Zagorecki, Mark Voortman, Marek J. Druzdzel:
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS 2006: 860-865 - [c32]Adam Zagorecki, Marek J. Druzdzel:
Probabilistic Independence of Causal Influences. Probabilistic Graphical Models 2006: 325-332 - 2004
- [c27]Adam Zagorecki, Marek J. Druzdzel:
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS 2004: 880-886 - 2003
- [j7]Marek J. Druzdzel, Francisco Javier Díez:
Combining Knowledge from Different Sources in Causal Probabilistic Models. J. Mach. Learn. Res. 4: 295-316 (2003) - [c25]Denver Dash, Marek J. Druzdzel:
Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI 2003: 167-174 - 2002
- [j6]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): 38-43 (2002) - [c23]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: 351-360 - 2001
- [j5]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): 165-182 (2001) - [c21]Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel:
Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292 - [c20]Denver Dash, Marek J. Druzdzel:
Caveats for Causal Reasoning with Equilibrium Models. ECSQARU 2001: 192-203 - [c18]Haiqin Wang, Denver Dash, Marek J. Druzdzel:
A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS 2001: 607-612 - 2000
- [c13]Haiqin Wang, Marek J. Druzdzel:
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI 2000: 617-625 - [e1]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): 481-486 (2000) - 1999
- [c10]Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk:
Knowledge Engineering for Very Large Decision-analytic Medical Models. AMIA 1999 - [c9]Denver Dash, Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI 1999: 142-149 - 1995
- [c6]Marek J. Druzdzel, Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148
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