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Publications
Publications
Below is a list of our publications. We have divided them into the
following categories:
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Importance sampling algorithms for Bayesian networks:
Principles and performance
Changhe Yuan, Marek J. Druzdzel
To appear in Mathematical and Computer Modeling, 2005
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Importance sampling in Bayesian networks: An influence-based
approximation strategy for importance functions
Changhe Yuan, Marek J. Druzdzel
To appear in Proceedings of the 21st Annual Conference on
Uncertainty in Artificial Intelligence (UAI-05), Morgan
Kaufmann Publishers, Inc., San Francisco, CA, 2005
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Intelligent decision support systems based on SMILE
Marek J. Druzdzel
Software 2.0, 2(February):12-33, 2005
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Combining knowledge from different sources in probabilistic
models
Marek J. Druzdzel, F. Javier Diez
Journal of Machine Learning Research, 4(July):295-316, 2003
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A method for evaluating elicitation schemes for probabilistic
models
Haiqin Wang, Denver H. Dash, Marek J. Druzdzel
IEEE Transactions on Systems, Man, and Cybernetics-Part B:
Cybernetics, 32(1):38-43, February 2002
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The emerging science of very early detection of disease
outbreaks
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, Douglas B. Fridsma
Journal of Public Health Management Practice,
7(6):51-59, November 2001
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Learning Bayesian network parameters from small data sets:
Application of Noisy-OR gates
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
International Journal of Approximate Reasoning,
27(2):165-182, 2001
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Support of diagnosis of liver disorders based on a causal
Bayesian network model
Hanna Wasyluk, Agnieszka Onisko, Marek J. Druzdzel
Medical Science Monitor, 7(Suppl. 1):327-332, May 2001
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Causal reversibility in Bayesian networks
Marek J. Druzdzel, Hans van Leijen
Journal of Experimental and Theoretical Artificial
Intelligence, 13(1):45-62, 2001
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AIS-BN: An adaptive importance sampling algorithm for
evidential reasoning in large Bayesian networks
Jian Cheng, Marek J. Druzdzel
Journal of Artificial Intelligence Research (JAIR),
13:155-188, 2000
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Building probabilistic networks: Where do the numbers come
from? 'Guest editors' introduction
Marek J. Druzdzel, Linda C. van der Gaag
Transactions on Knowledge and Data Engineering,
12(4):481-486, 2000
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Relevance-based incremental belief updating in Bayesian
networks
Yan Lin, Marek J. Druzdzel
Journal of Pattern Recognition and Artificial Intelligence
(IJPRAI), 13(2):285-295, March 1999
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Five useful properties of probabilistic knowledge representations
from the point of view of intelligent systems
Marek J. Druzdzel
Fundamenta Informaticae, Special Issue on Knowledge
Representation and Machine Learning, 30(3-4):241-254,
1997
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Decision-support systems in genetic counseling (Open peer
commentary on `Information, knowledge, and values in genetic
decision making' by Dr. Sue P. Stafford)
Marek J. Druzdzel
Technology Studies, 3(2):263-267, 1996
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Qualitative verbal explanations in Bayesian belief networks
Marek J. Druzdzel
Artificial Intelligence and Simulation of Behaviour
Quarterly, special issue on Bayesian networks, 94:43-54,
1996
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Verbal expressions of probability in informed consent
litigation
Jon F. Merz, Marek J. Druzdzel, Dennis J. Mazur
Medical Decision Making, 11(4):273-281,
October-December 1991
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| Major Peer Reviewed Conferences | top |
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How heavy should the tails be?
Changhe Yuan, Marek J. Druzdzel
In Proceedings of the Eighteenth International Florida
Artificial Intelligence Research Society Conference
(FLAIRS-2005), Ingrid Russell & Zdrawko Markov
(eds.), Menlo Park, CA: AAA Press, pages 799-804, 2005
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Annealed MAP
Changhe Yuan, Tsas-Ching Lu, Marek J. Druzdzel
In Proceedings of the 20th Annual Conference on Uncertainty
in Artificial Intelligence (UAI-04), pages 628-635, Morgan
Kaufmann Publishers, Inc., San Francisco, CA, 2004
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An empirical study of probability elicitation under Noisy-OR
assumption
Adam Zagorecki, Marek J. Druzdzel
In Proceedings of the Seventeenth International Florida
Artificial Intelligence Research Society Conference
(FLAIRS-2004), Valerie Barr & Zdrawko Markov (eds),
pages 880-885, Menlo Park, CA: AAA Press, 2004
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Robust independence testing for constraint-based learning of
causal structure
Denver H. Dash, Marek J. Druzdzel
In Proceedings of the 19th Annual Conference on Uncertainty
in Artificial Intelligence (UAI-03), pages 167-174, Morgan
Kaufmann Publishers, Inc., San Francisco, CA, 2003
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An importance sampling algorithm based on evidence
pre-propagation
Changhe Yuan, Marek J. Druzdzel
In Proceedings of the 19th Annual Conference on Uncertainty
in Artificial Intelligence (UAI-03), pages 624-631, Morgan
Kaufmann Publishers, Inc., San Francisco, CA, 2003
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Caveats for causal reasoning with equilibrium models
Denver H. Dash, Marek J. Druzdzel
In Proceedings of the Sixth European Conference on Symbolic
and Quantitative Approaches to Reasoning with Uncertainty
(ECSQARU-2001), S. Benferhat, P. Besnard (eds.),
Springer Lecture Notes in Computer Science;
Lecture Notes in Artificial Intelligence, LNAI 2143,
Berlin Heidelberg: Springer-Verlag, pages 192-203, 2001
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Supporting changes in structure in causal model construction
Tsai-Ching Lu, Marek J. Druzdzel
In Proceedings of the Sixth European Conference on Symbolic
and Quantitative Approaches to Reasoning with Uncertainty
(ECSQARU-2001), S. Benferhat, P. Besnard (eds.),
Springer Lecture Notes in Computer Science;
Lecture Notes in Artificial Intelligence, LNAI 2143,
Berlin Heidelberg: Springer-Verlag, pages 204-215, 2001
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A method for evaluating elicitation schemes for probabilities
Haiqin Wang, Denver H. Dash, Marek J. Druzdzel
In Proceedings of the Fourteenth International Florida
Artificial Intelligence Research Society Conference
(FLAIRS-2001), Ingrid Russell & John Kolen (eds),
pages 607-612, Menlo Park, CA: AAAI Press, 2001
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Comparison of rule-based and Bayesian network approaches in
medical diagnostic systems
Agnieszka Onisko, Peter Lucas, Marek J. Druzdzel
In Proceedings of the Eighth Annual Conference on Artificial
Intelligence in Medicine (AIME-2001), S. Quaglini, P.
Barahona, S. Andreassen (eds.) Artificial Intelligence in
Medicine, Lecture Notes in Computer Science Subseries,
Springer Verlag, pages 281-292, 2001
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Confidence inference in Bayesian networks
Jian Cheng, Marek J. Druzdzel
In Proceedings of the Seventeenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-2001), pages
75-82, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
2001
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Computational investigation of low-discrepancy sequences in
simulation algorithms for Bayesian networks
Jian Cheng, Marek J. Druzdzel
In Proceedings of the Sixteenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-2000), pages
72-81, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
2000
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Causal mechanism-based model construction
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
In Proceedings of the Sixteenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-2000), pages
353-362, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
2000
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User interface tools for navigation in conditional probability
tables and elicitation of probabilities in Bayesian networks
Haiqin Wang, Marek J. Druzdzel
In Proceedings of the Sixteenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-2000), pages
617-625, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
2000
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Latin hypercube sampling in Bayesian networks
Jian Cheng, Marek J. Druzdzel
In Proceedings of the Thirteenth International Florida
Artificial Intelligence Research Society Conference
(FLAIRS-2000), Jim Etheredge & Bill Manaris (eds),
pages 287-292, Menlo Park, CA: AAAI Press, 2000
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GeNIe: A development environment for graphical decision-analytic
models
Marek J. Druzdzel
In Proceedings of the 1999 Annual Symposium of the American
Medical Informatics Association (AMIA-1999), page 1206,
Washington, D.C., November 6-10, 1999
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Knowledge engineering for very large decision-analytic
medical models
Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling
In Proceedings of the 1999 Annual Symposium of the American
Medical Informatics Association (AMIA-1999), page 1049,
Washington, D.C., November 6-10, 1999
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SMILE: Structural Modeling, Inference, and Learning Engine
and GeNIe: A development environment for graphical
decision-theoretic models (Intelligent Systems Demonstration)
Marek J. Druzdzel
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 902-903, AAAI
Press/The MIT Press, Menlo Park, CA, 1999
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A hybrid anytime algorithm for the construction of causal
models from sparse data
Denver H. Dash, Marek J. Druzdzel
In Proceedings of the Fifteenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-99), pages
142-149, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
1999
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Relevance-based sequential evidence processing in Bayesian
networks
Yan Lin, Marek J. Druzdzel
In Proceedings of the Eleventh International Florida
Artificial Intelligence Research Society Conference
(FLAIRS-1998), Diane Cook (ed.), pages 446-450, Menlo
Park, CA: AAAI Press, 1998
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Computational advantages of relevance reasoning in Bayesian
belief networks
Yan Lin, Marek J. Druzdzel
In Proceedings of the Thirteenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-97), pages
342-350, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
1997
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On-line student modeling for coached problem solving using
Bayesian networks
Cristina Conati, Abigail Gertner, Kurt VanLehn, Marek J. Druzdzel
In Proceedings of the Sixth International Conference on
User Modeling (UM-96), pages 231-242, Springer Verlag:
Vienna, New York, June 1997
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Elicitation of probabilities for belief networks: Combining
qualitative and quantitative information
Marek J. Druzdzel, Linda C. van der Gaag
In Proceedings of the Eleventh Annual Conference on
Uncertainty in Artificial Intelligence (UAI-95), pages
141-148, Morgan Kaufmann Publishers, Inc., San Francisco,
CA, 1995
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Some properties of joint probability distributions
Marek J. Druzdzel
In Proceedings of the Tenth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-94), pages
187-194, Morgan Kaufmann Publishers, Inc., San Francisco,
CA, 1994
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Causality in Bayesian belief networks
Marek J. Druzdzel, Herbert A. Simon
In Proceedings of the Ninth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-93), pages
3-11, Morgan Kaufmann Publishers, Inc., San Francisco, CA,
1993
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Intercausal reasoning with uninstantiated ancestor nodes
Marek J. Druzdzel, Max Henrion
In Proceedings of the Ninth Annual Conference on
Uncertainty in Artificial Intelligence (UAI-93), pages
317-325, Morgan Kaufmann Publishers, Inc., San Francisco,
CA, 1993
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Efficient reasoning in qualitative probabilistic networks
Marek J. Druzdzel, Max Henrion
In Proceedings of the 11th National Conference on Artificial
Intelligence (AAAI-93), pages 548-553, AAAI Press/The
MIT Press, Menlo Park, CA, 1993
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Qualitative propagation and scenario-based approaches to
explanation of probabilistic reasoning
Max Henrion, Marek J. Druzdzel
In Proceedings of the Sixth Conference on Uncertainty in
Artificial Intelligence (UAI-90), pages 10-20, Cambridge,
MA, July 1990. Reprinted in Uncertainty in Artificial
Intelligence 6, P.P. Bonissone, M. Henrion, L.N. Kanal,
and J.F. Lemmer (eds), Machine Intelligence and Pattern
Recognition 12, pages 17-32, Elsevier, North Holland:
Amsterdam, 1991
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| Other Conferences, Workshops, Symposia, and Book Chapters | top |
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GeNIeRate: An interactive generator of diagnostic Bayesian
network models
Pieter Kraaijeveld, Marek J. Druzdzel
In Working Notes of the 16th International Workshop on
Principles of Diagnosis (DX-05), pages 175-180, Monterey,
CA, USA, June 1-3, 2005
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Mechanism-based causal models for adaptive decision support
Tsai-Ching Lu, Marek J. Druzdzel
In Challenges to Decision Support in a Changing World,
Papers from the 2005 AAAI Spring Symposium, Marek J.
Druzdzel and Tze-Yun Leong (eds.), Technical Report SS-05-02,
pages 73-79, Menlo Park, CA: AAAI Press, 2005
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Challenges to Decision Support in a Changing World,
Papers from 2005 AAAI Spring Symposium
Marek J. Druzdzel, Tze-Yun Leong (eds).
AAAI Technical Report SS-05-02, 136 pp., ISBN
1-57735-228-9, March 2005
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A comparison on the effectiveness of two heuristics for
importance sampling
Changhe Yuan, Marek J. Druzdzel
In Proceedings of the Second European Workshop on
Probabilistic Graphical Models (PGM-04), pages 225-232,
Leiden, The Netherlands, October 2004
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An efficient sampling algorithm for influence diagrams
Daniel Garcia-Sanchez, Marek J. Druzdzel
In Proceedings of the Second European Workshop on
Probabilistic Graphical Models (PGM-04), pages 97-104,
Leiden, The Netherlands, October 2004
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Causal diagrams to represent biases in the evaluation of
diagnostic procedures
F. Javier Diez, Marek J. Druzdzel, Miguel A. Hernan
In Proceedings of the 36th Annual Meeting of the Society
for Epidemiologic Research (SER-03), Atlanta, GA, 2003
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Reasoning Under Uncertainty
F. Javier Diez, Marek J. Druzdzel
In Encyclopedia of Cognitive Science, pages 880-886,
Nadel, L. (Ed.), London: Nature Publishing Group, 2003
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Effect of imprecision in probabilities on the quality of
results in Bayesian networks: An empirical study
Agnieszka Onisko, Marek J. Druzdzel
In Working Notes of the European Conference on Artificial
Intelligence in Medicine (AIME-03) Workshop on Qualitative
and Model-based Reasoning in Biomedicine, pages 45-49,
Protaras, Cyprus, 19 October 2003
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Causal models, value of intervention, and search for
opportunities
Tsai-Ching Lu, Marek J. Druzdzel
In Proceeding of the First European Workshop on
Probabilistic Graphical Models (PGM-02), pages 108-116,
Cuenca, Spain, 6-8 November 2002
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Application of a computer-based diagnostic tool to training
general practitioners
Hanna Wasyluk, Agnieszka Onisko, Marek J. Druzdzel
In Fifth International Seminar on Statistics and Clinical
Practice (68-th Seminar of the International Centre of
Biocybernetics), Warsaw, Poland, 3-5 June 2002
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An experimental comparison of methods for handling incomplete
data in learning parameters of Bayesian networks
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Intelligent Information Systems 2002: Proceedings of the
IIS'2002 Symposium, M. Klopotek, S.T. Wierzchon, M.
Michalewicz (eds.), pages 351-360, Advances in Soft
Computing Series, Physica-Verlag (A Springer-Verlag
Company), Heidelberg, 2002
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Learning Bayesian network parameters from data using
Noisy-OR gates
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
(in Polish) In Badania operacyjne i systemowe wobec wyzwan
XXI wieku, Zdzislaw Bubnicki, Olgierd Hryniewicz, Roman
Kulikowski (eds.), Problemy wspolczesnej nauki. Teoria i
zastosowania series, pages IV:19-26, Akademicka Oficyna
Wydawnicza EXIT, Warszawa, 2002
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Fundamentals of canonical models
F. Javier Diez, Marek J. Druzdzel
In Ponencia Congreso: IX Conferencia de la Asociacion
Espanola para la Inteligencia Artificial (CAEPIA-TTIA 2001),
pages 1125-1134, Gijon, Spain, 2001
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HEPAR and HEPAR II - computer systems supporting a diagnosis
of liver disorders
Agnieszka Onisko, Leon Bobrowski, Marek J. Druzdzel, Hanna Wasyluk
(in Polish) In Proceedings of the Twelfth Conference on Biocybernetics
and Biomedical Engineering, Warsaw, Poland, November 28-30,
2001 (Best Young Investigator Paper award for Ms. Onisko)
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Decision Support Systems
Marek J. Druzdzel, Roger R. Flynn
In Encyclopedia of Library and Information Science,
Vol. 67, Suppl. 30, pages 120-133, Allen Kent (ed.), Marcel
Dekker, Inc., New York, 2000
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Learning Bayesian network parameters from small data sets:
Application of Noisy-OR gates
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Working Notes of the Workshop on Bayesian and Causal
Networks: From Inference to Data Mining, 12th European
Conference on Artificial Intelligence (ECAI-2000), Berlin,
Germany, 22 August 2000
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Criteria for combining knowledge from different sources in
probabilistic models
Marek J. Druzdzel, F. Javier Diez
In Working Notes of the workshop on `Fusion of Domain
Knowledge with Data for Decision Support,' Sixteenth
Annual Conference on Uncertainty in Artificial Intelligence
(UAI-2000), pages 23-29, Stanford, CA, 30 June 2000
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Extension of the Hepar II model to multiple-disorder
diagnosis
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Intelligent Information Systems, M. Klopotek, M.
Michalewicz, S.T. Wierzchon (eds.), pages 303-313,
Advances in Soft Computing Series, Physica-Verlag
(A Springer-Verlag Company), Heidelberg, 2000
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A Bayesian network model for diagnosis of liver disorders
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Proceedings of the Eleventh Conference on
Biocybernetics and Biomedical Engineering, pages 842-846,
Warsaw, Poland, December 2-4, 1999
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Causal inferences from databases: Why universities lose
students
Marek J. Druzdzel, Clark Glymour
In Clark Glymour and Gregory F. Cooper (eds), Computation,
Causation, and Discovery, Chapter 19, pages 521-539,
AAAI Press, Menlo Park, CA, 1999
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Problems related to causal reasoning in equilibrium models
Denver H. Dash, Marek J. Druzdzel
In Proceedings of the Conference on Theoretical Informatics:
Methods of Analysis of Incomplete and Distributed
Information, pages 24-26, Bialystok, Poland, 26-28
November 1999
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A fundamental inconsistency between equilibrium causal
discovery and causal reasoning formalisms
Denver H. Dash, Marek J. Druzdzel
In Working Notes of the Workshop on Conditional Independence
Structures and Graphical Models, pages 17-18, Fields
Institute, Toronto, Canada, 27 September - 1 October 1999
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ESP: A mixed initiative decision-theoretic decision modeling
system
Marek J. Druzdzel
In Working Notes of the AAAI-99 Workshop on
Mixed-initiative Intelligence, pages 99-106, Orlando,
Florida, 18 July 1999
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Stochastic sampling and search in belief updating algorithms
for very large Bayesian networks
Yan Lin, Marek J. Druzdzel
In Working notes of the AAAI-1999 Spring Symposium on
Search Techniques for Problem Solving Under Uncertainty and
Incomplete Information, pages 77-82, Stanford, CA, March
22-24, 1999
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Graphical probabilistic models in diagnosis of liver
disorders
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Working notes of the Third International Seminar on
Statistics and Clinical Practice (45th Seminar of the
International Centre of Biocybernetics), Warsaw, Poland,
June 24-27, 1998
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A probabilistic causal model for diagnosis of liver
disorders
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Proceedings of the Seventh Symposium on Intelligent
Information Systems (IIS-98), pages 379-387, Malbork,
Poland, June 15-19, 1998
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Interactive construction of decision models based on causal
mechanisms
Marek J. Druzdzel, Tsai-Ching Lu, Tze-Yun Leong
In Working notes of the AAAI 1998 Spring Symposium on
Interactive and Mixed-Initiative Decision-Theoretic Systems,
pages 38-44, Stanford, CA, March 23-25, 1998
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Reversible causal mechanisms in Bayesian networks
Hans van Leijen, Marek J. Druzdzel
In Working notes of the AAAI 1998 Spring Symposium on
Prospects for a Commonsense Theory of Causation, pages
24-30, Stanford, CA, March 23-25, 1998
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Application of Bayesian belief networks to diagnosis of liver
disorders
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
In Proceedings of the Third Conference on Neural Networks
and Their Applications, pages 730-736, Kule, Poland,
October 14-18, 1997
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An incompatibility between preferential ordering and the
decision-theoretic notion of utility
Marek J. Druzdzel
In Working notes of the AAAI 1997 Spring Symposium on
Qualitative Preferences in Deliberation and Practical
Reasoning, pages 35-40, Stanford, CA, March 23-25, 1997
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Technology use in computer programming courses
Marek J. Druzdzel
In Second Annual University of Pittsburgh Teaching
Excellence Conference: Technology in Teaching, Pittsburgh,
PA, March 29, 1996
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Having the right tool: Causal graphs in teaching research
design
Marek J. Druzdzel, Clark Glymour
In What Works in University Teaching: University of
Pittsburgh Teaching Excellence Conference, Pittsburgh,
PA, March 31 - April 1, 1995
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Getting the message across to students: Multimedia syllabi
Marek J. Druzdzel
In What Works in University Teaching: University of
Pittsburgh Teaching Excellence Conference, Pittsburgh,
PA, March 31 - April 1, 1995. Reprinted in Instructional
Guide for University Faculty, Mary Samardzija, editor,
Faculty Development and Instructional Design Center, Northern
Illinois University, Dekalb, IL, 1999
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Relevance in probabilistic models: "backyards" in a "small world"
Marek J. Druzdzel, Henri J. Suermondt
In Working notes of the AAAI-1994 Fall Symposium Series:
Relevance, pages 60-63, New Orleans, LA, November 4-6,
1994
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Application of the TETRAD II program to the study of student
retention in U.S. colleges
Marek J. Druzdzel, Clark Glymour
In Working notes of the AAAI-94 Workshop on Knowledge
Discovery in Databases (KDD-94), pages 419-430, Seatle,
WA, July 1994
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Belief propagation in qualitative probabilistic networks
Marek J. Druzdzel, Max Henrion
In Qualitative Reasoning and Decision Technologies,
N. Piera Carrete & M.G. Singh (eds), pp. 451-460,
CIMNE: Barcelona, 1993
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Using scenarios to explain probabilistic inference
Marek J. Druzdzel, Max Henrion
In Working notes of the AAAI-90 Workshop on Explanation,
pages 133-141, Boston, MA, July 1990. American Association
for Artificial Intelligence
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Qualitative and linguistic explanation of probabilistic
reasoning in belief networks
Max Henrion, Marek J. Druzdzel
In Proceedings of the Third International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems (IPMU), pages 225-227, Paris,
France, July 1990
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Explanation in probabilistic systems: Is it feasible? Will it
work?
Marek J. Druzdzel
In Proceedings of the Fifth International Workshop on
Intelligent Information Systems (WIS-96), Deblin, Poland,
June 2-5, 1996
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What do college ranking data tell us about student retention:
Causal discovery in action
Marek J. Druzdzel, Clark Glymour
In Proceedings of the Fourth International Workshop on
Intelligent Information Systems (WIS-95), pages 138-147,
Augustow, Poland, June 5-9, 1995
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Discussion of Moises Goldszmidt's "Belief-based irrelevance
and networks: Toward faster algorithms for prediction."
Marek J. Druzdzel
In Working notes of the AAAI-1994 Fall Symposium Series:
Relevance, page 100, New Orleans, LA, November 4-6, 1994
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Some useful properties of probabilistic knowledge
representations from the point of view of intelligent systems
Marek J. Druzdzel
In Proceedings of the Third International Workshop on
Intelligent Information Systems (WIS-94), pages 278-292,
Wigry, Poland, June 4-11, 1994
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Knowledge engineering for very large decision-analytic
medical models
Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk
Research Report CBMI-99-26, Center for Biomedical
Informatics, University of Pittsburgh, September 1999 (a full
version of the short paper published in AMIA-99)
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A Bayesian network model for diagnosis of liver disorders
Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk
Research Report CBMI-99-27, Center for Biomedical Informatics,
University of Pittsburgh, September 1999
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Probabilistic Reasoning in Decision Support Systems: From
Computation to Common Sense
Marek J. Druzdzel
Ph.D. Dissertation, Department of Engineering and Public
Policy, Carnegie Mellon University, Pittsburgh, PA, January
1993
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Scenario-based explanations for Bayesian decision support
systems
Marek J. Druzdzel
Technical Report CMU-EPP-1990-03-04, Department of
Engineering and Public Policy, Carnegie Mellon University,
Pittsburgh, PA, January 1990
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Towards process models of judgment under uncertainty
Marek J. Druzdzel
Technical Report CMU-EPP-1990-03-03, Department of Engineering
and Public Policy, Carnegie Mellon University, Pittsburgh,
PA, October 1989
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Verbal uncertainty expressions: Literature review
Marek J. Druzdzel
Technical Report CMU-EPP-1990-03-02, Department of Engineering
and Public Policy, Carnegie Mellon University, Pittsburgh,
PA, May 1989
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Current Trends in Computer Architecture and Their Relation
to the LISP Programming Language
Marek J. Druzdzel
M.S. Thesis, Reprinted as Technical Report 1-68340-28
(1987)02, Department of Electrical Engineering, Technische
Universiteit Delft, Delft, The Netherlands, February 1987
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Implementation of the Memory Management Module of the UNIX
System V Kernel on a MC68010 Based Single Board Computer
Marek J. Druzdzel
Unpublished M.S. Thesis, Department of Mathematics and Computer
Science, Technische Universiteit Delft, Delft, The Netherlands,
November 1985
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