Browse by Depositor

Voortman, M and Dash, D and Druzdzel, MJ (2010) Learning why things change: The Difference-Based Causality Learner. In: UNSPECIFIED.

Austin, RM and Onisko, A and Druzdzel, MJ (2010) The pittsburgh cervical cancer screening model a risk assessment tool. Archives of Pathology and Laboratory Medicine, 134 (5). 744 - 750. ISSN 0003-9985

Lu, TC and Druzdzel, MJ (2009) Interactive construction of graphical decision models based on causal mechanisms. European Journal of Operational Research, 199 (3). 873 - 882. ISSN 0377-2217

Ratnapinda, Parot and Druzdzel, Marek J (2009) Passive construction of diagnostic decision models: An empirical evaluation. In: International Multiconference on Computer Science and Information Technology (IMCSIT-2009), 12 October 2009 - 14 October 2009, Mragowo, Poland.

Druzdzel, Marek J (2009) Rapid modeling and analysis with QGeNIe. In: International Multiconference on Computer Science and Information Technology (IMCSIT-2009), 12 October 2009 - 14 October 2009, Mragowo, Poland.

Voortman, Mark and Dash, Denver H and Druzdzel, Marek J (2010) Learning causal models that make correct manipulation predictions with time series data. Journal of Machine Learning Research: Workshop and Conference Proceedings, 6. 257 - 266.

Voortman, Mark and Dash, Denver H and Druzdzel, Marek J and Pomerleau, Dean and Sudre, Gustavo (2009) Difference-based Causal Models: Bridging the gap between Granger causality and DCMs. In: NIPS 2009 Workshop on Connectivity Inference in Neuroimaging (CINI 2009), 12 December 2009 - 12 December 2009, Whistler, B.C., Canada.

Druzdzel, Marek J (2009) The role of assumptions in causal discovery. In: 8th Workshop on Uncertainty Processing (WUPES-09), 19 September 2009 - 23 September 2009, Liblice, Czech Republic.

Łupínska-Dubicka, A and Druzdzel, MJ (2011) Modeling dynamic systems with memory: What is the right time-order? In: UNSPECIFIED.

Onisko, Agnieszka and Druzdzel, Marek J (2011) Impact of Quality of Bayesian Network Parameters on Accuracy of Medical Diagnostic Systems. In: AIME'11 Workshop on Probabilistic Problem Solving in Biomedicine (ProBioMed--11), in conjunction with the Thirteenth Conference on Artificial Intelligence in Medicine (AIME-2011), 02 July 2011 - 02 July 2011, Bled, Slovenia.

Ratnapinda, P and Druzdzel, MJ (2011) Does query-based diagnostics work? In: UNSPECIFIED.

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

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

Ratnapinda, P and Druzdzel, MJ (2013) An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams. In: UNSPECIFIED.

Lupińska-Dubicka, A and Druzdzel, MJ (2012) A comparison of popular fertility awareness methods to a DBN model of the woman's monthly cycle. In: UNSPECIFIED.

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

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).

Zagorecki, A and Kozniewski, M and Druzdzel, MJ (2015) An approximation of surprise index as a measure of confidence. In: UNSPECIFIED.

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.