D-Scholarship@Pitt: Pitt Username matches "druzdzel". Results ordered -Date Deposited.
http://d-scholarship.pitt.edu/
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http://d-scholarship.pitt.edu/images/sitelogo.pngD-Scholarship@Pitt: Pitt Username matches "druzdzel". Results ordered -Date Deposited.
http://d-scholarship.pitt.edu/
Thu, 16 Jul 2020 00:49:28 -0400Thu, 16 Jul 2020 00:49:28 -0400enTue, 19 Jul 2016 13:02:03 -0400 Modeling women's menstrual cycles using PICI gates in Bayesian network
http://d-scholarship.pitt.edu/28599/
http://d-scholarship.pitt.edu/28599/ 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 Tue, 19 Jul 2016 12:59:34 -0400 An approximation of surprise index as a measure of confidence
http://d-scholarship.pitt.edu/28603/
http://d-scholarship.pitt.edu/28603/ Zagorecki, A and Kozniewski, M and Druzdzel, MJ (2015) An approximation of surprise index as a measure of confidence. In: UNSPECIFIED. Tue, 19 Jul 2016 12:58:34 -0400 Designing the model patient: Data-driven virtual patients in medical education
http://d-scholarship.pitt.edu/28602/
http://d-scholarship.pitt.edu/28602/ 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. Tue, 19 Jul 2016 12:57:50 -0400 Prediction and prognosis of health and disease
http://d-scholarship.pitt.edu/28601/
http://d-scholarship.pitt.edu/28601/ Onisko, A and Tucker, A and Druzdzel, MJ (2015) Prediction and prognosis of health and disease. In: UNSPECIFIED UNSPECIFIED, 181 - 188. ISBN UNSPECIFIED Tue, 19 Jul 2016 12:57:13 -0400 Modeling dynamic processes with memory by higher order temporal models
http://d-scholarship.pitt.edu/28600/
http://d-scholarship.pitt.edu/28600/ Łupińska-Dubicka, A and Druzdzel, MJ (2015) Modeling dynamic processes with memory by higher order temporal models. In: UNSPECIFIED UNSPECIFIED, 219 - 232. ISBN UNSPECIFIED Thu, 14 Jul 2016 14:09:11 -0400 A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network
http://d-scholarship.pitt.edu/28604/
http://d-scholarship.pitt.edu/28604/ 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. Thu, 14 Jul 2016 13:59:28 -0400 ADMIT - A Web-Based System to Facilitate Graduate Admission
http://d-scholarship.pitt.edu/28605/
http://d-scholarship.pitt.edu/28605/ 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. Thu, 14 Jul 2016 13:56:21 -0400 Various Ways of Evaluating Models Learned from Data
http://d-scholarship.pitt.edu/28606/
http://d-scholarship.pitt.edu/28606/ 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. Thu, 02 Jul 2015 14:34:43 -0400 Learning parameters in canonical models using weighted least squares
http://d-scholarship.pitt.edu/25524/
http://d-scholarship.pitt.edu/25524/ Nowak, K and Druzdzel, MJ (2014) Learning parameters in canonical models using weighted least squares. In: UNSPECIFIED UNSPECIFIED, 366 - 381. ISBN UNSPECIFIED Thu, 02 Jul 2015 14:34:04 -0400 Discrete Bayesian Network Interpretation of the Cox's Proportional Hazard Model
http://d-scholarship.pitt.edu/25525/
http://d-scholarship.pitt.edu/25525/ 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 Thu, 02 Jul 2015 14:32:49 -0400 Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms
http://d-scholarship.pitt.edu/25526/
http://d-scholarship.pitt.edu/25526/ 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 Thu, 02 Jul 2015 14:31:56 -0400 Cardiac health risk stratification system (CHRiSS): A Bayesian-based decision support system for left ventricular assist device (LVAD) therapy
http://d-scholarship.pitt.edu/25528/
http://d-scholarship.pitt.edu/25528/ 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). Thu, 02 Jul 2015 14:31:45 -0400 A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality
http://d-scholarship.pitt.edu/25529/
http://d-scholarship.pitt.edu/25529/ 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 Thu, 02 Jul 2015 14:27:21 -0400 An Experimental Comparison of Methods for Dealing with Missing Values in Data Sets when Learning Bayesian Networks
http://d-scholarship.pitt.edu/25530/
http://d-scholarship.pitt.edu/25530/ 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. Thu, 02 Jul 2015 14:27:09 -0400 Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?
http://d-scholarship.pitt.edu/25531/
http://d-scholarship.pitt.edu/25531/ 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 Wed, 02 Jul 2014 17:09:09 -0400 An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs
http://d-scholarship.pitt.edu/22167/
http://d-scholarship.pitt.edu/22167/ Ratnapinda, P and Druzdzel, MJ (2014) An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs. In: UNSPECIFIED. Wed, 02 Jul 2014 17:03:25 -0400 Impact of Bayesian network model structure on the accuracy of medical diagnostic systems
http://d-scholarship.pitt.edu/22168/
http://d-scholarship.pitt.edu/22168/ 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 Tue, 25 Jun 2013 16:32:25 -0400 Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
http://d-scholarship.pitt.edu/19102/
http://d-scholarship.pitt.edu/19102/ Oniśko, A and Druzdzel, MJ (2013) Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artificial Intelligence in Medicine, 57 (3). 197 - 206. ISSN 0933-3657 Tue, 25 Jun 2013 16:31:54 -0400 Knowledge engineering for bayesian networks: How common are noisy-MAX distributions in practice'
http://d-scholarship.pitt.edu/19101/
http://d-scholarship.pitt.edu/19101/ Zagorecki, A and Druzdzel, MJ (2013) Knowledge engineering for bayesian networks: How common are noisy-MAX distributions in practice'. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 43 (1). 186 - 195. ISSN 1083-4427 Tue, 25 Jun 2013 16:00:10 -0400 An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams
http://d-scholarship.pitt.edu/19109/
http://d-scholarship.pitt.edu/19109/ Ratnapinda, P and Druzdzel, MJ (2013) An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams. In: UNSPECIFIED.