Decision Systsmes Laboratory
 

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Publications

Publications

Below is a list of our publications. We have divided them into the following categories:





In Printtop


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








Journalstop


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








Major Peer Reviewed Conferencestop


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



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








Other Conferences, Workshops, Symposia, and Book Chapterstop


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



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



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



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








Invited Paperstop


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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Limited Circulationtop


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



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



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



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








 
by Tomek D Loboda and Mark Voortman