Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Creators is "Druzdzel,Marek"

Displaying results 1 to 20 of 40.
Refine search | New search | 1 | 2 | Next
Order the results:
Export 40 results as [feed] RSS 1.0 [feed] Atom [feed] RSS 2.0
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.
[img]
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.
[img]
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.
[img]
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.
[img]
Preview
[img]
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
[img]
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.
[img]
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
[img]
10. Onisko, A and Tucker, A and Druzdzel, MJ (2015) Prediction and prognosis of health and disease. In: UNSPECIFIED UNSPECIFIED, 181 - 188. ISBN UNSPECIFIED
[img]
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
[img]
12. Zagorecki, A and Kozniewski, M and Druzdzel, MJ (2015) An approximation of surprise index as a measure of confidence. In: UNSPECIFIED.
[img]
Preview
[img]
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
[img]
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).
[img]
Preview
[img]
15. Nowak, K and Druzdzel, MJ (2014) Learning parameters in canonical models using weighted least squares. In: UNSPECIFIED UNSPECIFIED, 366 - 381. ISBN UNSPECIFIED
[img]
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
[img]
Preview
[img]
17. Ratnapinda, P and Druzdzel, MJ (2014) An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs. In: UNSPECIFIED.
[img]
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
[img]
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 International Publishing, 190 - 205. ISBN 9783319114323
[img]
20. Ratnapinda, P and Druzdzel, MJ (2013) An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams. In: UNSPECIFIED.
[img]
Preview
[img]
Displaying results 1 to 20 of 40.
Refine search | New search | 1 | 2 | Next
Order the results: