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- Marek J. Druzdzel
University of Pittsburgh, Pennsylvania, USA
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Publication search results
found 100 matches
- 2021
- 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) - 2019
- 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: 51-52 (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: 139-149 - 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: 1-8 - 2018
- Jidapa Kraisangka, Marek J. Druzdzel:
A Bayesian network interpretation of the Cox's proportional hazard model. Int. J. Approx. Reason. 103: 195-211 (2018) - 2017
- 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
- 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) - Jidapa Kraisangka, Marek J. Druzdzel:
Making Large Cox's Proportional Hazard Models Tractable in Bayesian Networks. Probabilistic Graphical Models 2016: 252-263 - 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: 1-8 - Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza:
A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. BMA@UAI 2016: 1-6 - 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): 628-642 (2015) - Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel:
An Approximation of Surprise Index as a Measure of Confidence. AAAI Fall Symposia 2015: 39- - Anna Lupinska-Dubicka, Marek J. Druzdzel:
Modeling Dynamic Processes with Memory by Higher Order Temporal Models. Foundations of Biomedical Knowledge Representation 2015: 219-232 - Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel:
Prediction and Prognosis of Health and Disease. Foundations of Biomedical Knowledge Representation 2015: 181-188 - 2014
- Parot Ratnapinda, Marek J. Druzdzel:
An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs. FLAIRS 2014 - Agnieszka Onisko, Marek J. Druzdzel:
Impact of Bayesian Network Model Structure on the Accuracy of Medical Diagnostic Systems. ICAISC (2) 2014: 167-178 - 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 - Jidapa Kraisangka, Marek J. Druzdzel:
Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards Model. Probabilistic Graphical Models 2014: 238-253 - Krzysztof Nowak, Marek J. Druzdzel:
Learning Parameters in Canonical Models Using Weighted Least Squares. Probabilistic Graphical Models 2014: 366-381 - 2013
- 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) - 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) - Parot Ratnapinda, Marek J. Druzdzel:
An Empirical Comparison of Bayesian Network Parameter Learning Algorithms for Continuous Data Streams. FLAIRS 2013 - Jian Cheng, Marek J. Druzdzel:
Confidence Inference in Bayesian Networks. CoRR abs/1301.2260 (2013) - Jian Cheng, Marek J. Druzdzel:
Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. CoRR abs/1301.3841 (2013) - Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong:
Causal Mechanism-based Model Construction. CoRR abs/1301.3872 (2013) - 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) - Denver Dash, Marek J. Druzdzel:
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data. CoRR abs/1301.6689 (2013) - Yan Lin, Marek J. Druzdzel:
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. CoRR abs/1302.1558 (2013) - Marek J. Druzdzel, Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. CoRR abs/1302.4943 (2013) - Marek J. Druzdzel:
Some Properties of Joint Probability Distributions. CoRR abs/1302.6802 (2013)
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