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Creators is "Druzdzel,Marek"

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1. Babichenko, D and Druzdzel, MJ and Grieve, L and Patel, R and Velez, J and Neal, T and McCray, J and Wallace, RD and Jenkins, S (2016) Designing the model patient: Data-driven virtual patients in medical education. In: UNSPECIFIED.
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2. Kraisangka, Jidapa and Druzdzel, Marek J. and Benza, Raymond (2016) A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. In: Working Notes of the 13th Annual Bayesian Modeling Applications Workshop (BMAW--2016), 29 June 2016 - 29 June 2016, New York City, NY.
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3. Druzdzel, Marek J. (2016) Various Ways of Evaluating Models Learned from Data. In: 2nd Workshop on Advances in Data Science: International Workshop and Networking Event, 11 May 2016 - 14 May 2016, Holny Majera, Poland.
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4. Babichenko, Dmitriy and Druzdzel, Marek J. (2016) ADMIT - A Web-Based System to Facilitate Graduate Admission. In: iConference 2016, 20 March 2016 - 23 March 2016, Philadelphia, PA.
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5. Zagorecki, A and Łupińska-Dubicka, A and Voortman, M and Druzdzel, MJ (2016) Modeling women's menstrual cycles using PICI gates in Bayesian network. International Journal of Approximate Reasoning, 70. 123 - 136. ISSN 0888-613X
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6. Babichenko, Dmitriy and Druzdzel, Marek (2016) ADMIT-a web-based system to facilitate graduate admission process. IConference 2016 Proceedings. Item not available from this repository.
7. Babichenko, Dmitriy and Druzdzel, Marek J and Grieve, Lorin and Patel, Ravi and Velez, Jonathan and Neal, Taylor and McCray, James and Wallace, Rae-Djamaal and Jenkins, Sean (2016) Designing the model patient: Data-driven virtual patients in medical education. In: Serious Games and Applications for Health (SeGAH), 2016 IEEE International Conference on, Orlando, Florida. Item not available from this repository.
8. Osakowicz, Maciej and Druzdzel, Marek J. (2015) An Experimental Comparison of Methods for Dealing with Missing Values in Data Sets when Learning Bayesian Networks. In: Advances in Data Science: International Workshop and Networking Event, 06 May 2015 - 08 May 2015, Holny Mejera, Poland.
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9. Loghmanpour, NA and Kanwar, MK and Druzdzel, MJ and Benza, RL and Murali, S and Antaki, JF (2015) A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality. ASAIO Journal, 61 (3). 313 - 323. ISSN 1058-2916
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10. Onisko, A and Tucker, A and Druzdzel, MJ (2015) Prediction and prognosis of health and disease. In: UNSPECIFIED UNSPECIFIED, 181 - 188. ISBN UNSPECIFIED
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11. Ratnapinda, P and Druzdzel, MJ (2015) Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy? Journal of Applied Logic, 13 (4). 628 - 642. ISSN 1570-8683
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12. Zagorecki, A and Kozniewski, M and Druzdzel, MJ (2015) An approximation of surprise index as a measure of confidence. In: UNSPECIFIED.
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13. Łupińska-Dubicka, A and Druzdzel, MJ (2015) Modeling dynamic processes with memory by higher order temporal models. In: UNSPECIFIED UNSPECIFIED, 219 - 232. ISBN UNSPECIFIED
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14. Loghmanpour, NA and Druzdzel, MJ and Antaki, JF (2014) Cardiac health risk stratification system (CHRiSS): A Bayesian-based decision support system for left ventricular assist device (LVAD) therapy. PLoS ONE, 9 (11).
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15. Nowak, K and Druzdzel, MJ (2014) Learning parameters in canonical models using weighted least squares. In: UNSPECIFIED UNSPECIFIED, 366 - 381. ISBN UNSPECIFIED
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16. Oniśko, A and Druzdzel, MJ (2014) Impact of Bayesian network model structure on the accuracy of medical diagnostic systems. In: UNSPECIFIED UNSPECIFIED, 167 - 178. ISBN 9783319071756
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17. Ratnapinda, P and Druzdzel, MJ (2014) An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs. In: UNSPECIFIED.
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18. Kraisangka, Jidapa and Druzdzel, Marek J. (2014) Discrete Bayesian Network Interpretation of the Cox's Proportional Hazard Model. In: Probabilistic Graphical Models. Springer Lecture Notes in Computer Science, 8754 . Springer International Publishing, Heidelberg, 190 - 205. ISBN UNSPECIFIED
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19. de Jongh, Martijn and Druzdzel, Marek J. (2014) Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms. In: Probabilistic Graphical Models. Springer Lecture Notes in Computer Science, 8754 . Springer International Publishing, Heidelberg, 238 - 253. ISBN UNSPECIFIED
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20. Ratnapinda, P and Druzdzel, MJ (2013) An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams. In: UNSPECIFIED.
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