Marek J. Druzdzel
Marek J. Druzdzel
University of Pittsburgh, Bialystok University of Technology
Verified email at - Homepage
Cited by
Cited by
On-line student modeling for coached problem solving using Bayesian networks
C Conati, AS Gertner, K VanLehn, MJ Druzdzel
User Modeling: Proceedings of the Sixth International Conference UM97 Chia …, 1997
Building probabilistic networks:" Where do the numbers come from?"
MJ Druzdzel, LC Van Der Gaag
IEEE Transactions on knowledge and data engineering 12 (4), 481-486, 2000
Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates
A Oniśko, MJ Druzdzel, H Wasyluk
International Journal of Approximate Reasoning 27 (2), 165-182, 2001
The emerging science of very early detection of disease outbreaks
MM Wagner, FC Tsui, JU Espino, VM Dato, DF Sitting, RA Caruana, ...
Journal of public health management and practice 7 (6), 51-59, 2001
SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision-theoretic models
MJ Druzdzel
Aaai/Iaai, 902-903, 1999
AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks
J Cheng, MJ Druzdzel
Journal of Artificial Intelligence Research 13, 155-188, 2000
Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
MJ Druzdzel, LC Van Der Gaag
arXiv preprint arXiv:1302.4943, 2013
Efficient reasoning in qualitative probabilistic networks
MJ Druzdzel, M Henrion
Proceedings of the 11th National Conference on Artificial Intelligence …, 1993
Canonical probabilistic models for knowledge engineering
FJ Dıez, MJ Druzdzel
UNED, Madrid, Spain, Technical Report CISIAD-06 1, 2006
Causality in Bayesian belief networks
MJ Druzdzel, HA Simon
Uncertainty in Artificial Intelligence, 3-11, 1993
Qualitative propagation and scenario-based approaches to explanation of probabilistic reasoning
M Henrion, MJ Druzdzel
Uncertainty in Artificial Intelligence 6, 17-32, 1990
A hybrid anytime algorithm for the constructiion of causal models from sparse data
D Dash, MJ Druzdzel
arXiv preprint arXiv:1301.6689, 2013
Bayesian networks for risk prediction using real-world data: a tool for precision medicine
P Arora, D Boyne, JJ Slater, A Gupta, DR Brenner, MJ Druzdzel
Value in Health 22 (4), 439-445, 2019
Decision support systems. Encyclopedia of library and information science. A. Kent
MJ Druzdzel, RR Flynn
Marcel Dekker, Inc. Last Login 10 (03), 2010, 1999
An importance sampling algorithm based on evidence pre-propagation
C Yuan, MJ Druzdzel
arXiv preprint arXiv:1212.2507, 2012
Qualitiative verbal explanations in bayesian belief networks
MJ Druzdzel
AISB QUARTERLY, 43-54, 1996
Knowledge engineering for Bayesian networks: How common are noisy-MAX distributions in practice?
A Zagorecki, MJ Druzdzel
IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (1), 186-195, 2012
Verbal expressions of probability in informed consent litigation
JF Merz, MJ Druzdzel, DJ Mazur
Medical Decision Making 11 (4), 273-281, 1991
Importance sampling algorithms for Bayesian networks: Principles and performance
C Yuan, MJ Druzdzel
Mathematical and Computer Modelling 43 (9-10), 1189-1207, 2006
Probabilistic reasoning in decision support systems: from computation to common sense
MJ Druzdzel
Carnegie Mellon University, 1993
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