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Changhe Yuan and Marek J. Druzdzel. Theoretical analysis and practical insights into importance sampling for
Bayesian networks. International Journal of Approximate Reasoning, 46(2):320–333, October 2007.
Changhe Yuan and Marek J. Druzdzel. Importance sampling algorithms for Bayesian networks: Principles and
performance. Mathematical and Computer Modeling, 43(9–10):1189–1207, May 2006.
Michael L. Anderson, Thomas Barkovsky, Pauline Berry, Douglas Blank, Timothy Chklovski, Pedro Domingos,
Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric Lowe,
Susann Luperfoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert Popp, Daniel Shapiro,
Nathan Schurr, Push Singh and John Yen. Reports on the 2005 AAAI Spring Symposium Series. AI Magazine,
26(2):87–92, Summer 2005.
Marek J. Druzdzel. Intelligent decision support systems based on SMILE ☺ . Software 2.0, 2(February):12–33,
2005.
Marek J. Druzdzel and F. Javier Díez. Combining knowledge from different sources in probabilistic models.
Journal of Machine Learning Research, 4(July):295–316, 2003.
Haiqin Wang, Denver H. Dash and Marek J. Druzdzel. A method for evaluating elicitation schemes for probabilistic
models. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics, 32(1):38–43, February
2002.
Michael M. Wagner, Fu-Chiang Tsui, Jeremy U. Espino, Virginia M. Dato, Dean F. Sittig, Richard A. Caruana,
Laura F. McGinnis, David W. Deerfield, Marek J. Druzdzel and Douglas B. Fridsma. The emerging science of
very early detection of disease outbreaks. Journal of Public Health Management Practice, 7(6):51–59, November
2001.
Agnieszka Oniśko, Marek J. Druzdzel and Hanna Wasyluk. Learning Bayesian network parameters from small
data sets: Application of Noisy-OR gates. International Journal of Approximate Reasoning, 27(2):165–182,
2001.
Hanna Wasyluk, Agnieszka Oniśko and Marek J. Druzdzel. Support of diagnosis of liver disorders based on a
causal Bayesian network model. Medical Science Monitor, 7(Suppl. 1):327–332, May 2001.
Marek J. Druzdzel and Hans van Leijen. Causal reversibility in Bayesian networks. Journal of Experimental
and Theoretical Artificial Intelligence, 13(1):45–62, 2001.
Jian Cheng and Marek J. Druzdzel. BN-AIS: An adaptive importance sampling algorithm for evidential reasoning
in large Bayesian networks. Journal of Artificial Intelligence Research, 13:155–188, 2000 (Honorable
Mention in the 2005 IJCAI–JAIR Best Paper Prize).
Marek J. Druzdzel and Linda C. van der Gaag. Building probabilistic networks: “Where do the numbers come
from?” Guest editors’ introduction. IEEE Transactions on Knowledge and Data Engineering, 12(4):481–486,
2000.
Yan Lin and Marek J. Druzdzel. Relevance-based incremental belief updating in Bayesian networks. International
Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 13(2):285–295, March 1999.
Marek J. Druzdzel. Five useful properties of probabilistic knowledge representations from the point of view of
intelligent systems. Fundamenta Informaticæ, 30(3–4):241–254, 1997.
Marek J. Druzdzel. Decision support systems in genetic counseling (Open peer commentary on Information,
knowledge, and values in genetic decision making by Dr. Sue P. Stafford). Technology Studies, 3(2):263–267,
1996.
Marek J. Druzdzel. Qualitative verbal explanations in Bayesian belief networks. Artificial Intelligence and
Simulation of Behaviour Quarterly, special issue on Bayesian networks, 94:43–54, 1996.
Jon F. Merz, Marek J. Druzdzel and Dennis J. Mazur. Verbal expressions of probability in informed consent
litigation. Medical Decision Making, 11(4):273–281, 1991.
August 2015