Jump to content United States-English
HP.com Home Products and Services Support and Drivers Solutions How to Buy
» Contact HP

hp.com home


Jaap Suermondt - Publications


printable versionprintable version
» 

HP Labs

» Research
» News and events
» Technical reports
» About HP Labs
» Careers @ HP Labs
» People
» Worldwide sites
» Downloads
Content starts here

 

Forman, George, Kirshenbaum, Evan, and Suermondt, Jaap. Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs. KDD'06. Philadelphia, PA: ACM, 2006. HPL Tech Report HPL-2006-60R1

Wilkes, John, Mogul, Jeff, and Suermondt, Jaap. Utilification. Proc. 11th ACM SIGOPS European WS. Leuven, Belgium: ACM, 2004. HPL Tech Report HPL-2004-124

Kirshenbaum, Evan, and Suermondt, HJ. Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function. In Deb, K. et al, Eds., Proc. Genetic and Evolutionary Computation Conference GECCO 2004. Seattle, Washington: Springer, 2004, pp. 543-556.

Skaanning, C, Suermondt, HJ, and Jensen, FV. Validation of probabilistic troubleshooters and diagnostic systems. US Patent 6,820,072 (2004).

Forman, GF, and Suermondt, HJ. Automatic classification method and apparatus. US Patent 6,823,323 (2004).

Forman, GH, and Suermondt, HJ. Continuous Language-Based Troubleshooting Tool. US Patent 6,772,374 (2004).

Suermondt, HJ, and Forman, GF. Method of efficient migration from one categorization hierarchy to another hierarchy. US Patent 6,701,333 (2004).

Kirshenbaum, ER, Eshghi, K, and Suermondt, HJ. Automatic gathering and analysis of data on commute paths. US Patent 6,584,401 (2003).

Cornwell, P, Suermondt, J, Forman, G, Kirshenbaum, E, Seetharaman, A. Practical Optimization Criteria for Diagnostic Knowledge Representation. AI in Equipment Maintenance Service and Support, AAAI Spring Symposia, Stanford, CA, March 1999.

Elkin, PL, Mohr, DN, Tuttle, MS, Cole, WG, Atkin, GE, Keck, K, Fisk, TB, Kaihoi, BH, Lee, KE, Higgins, MC, Suermondt, HJ, Olson, N, Claus, PL, Carpenter, PC, Chute, CG. Standardized problem list generation, utilizing the Mayo canonical vocabulary embedded within the Unified Medical Language System. In Masys, DR, Ed., Proceedings of the 1997 AMIA Annual Fall Symposium. Philadelphia: Hanley and Belfus, 1997, 500-504.

Henrion, M, Suermondt, HJ, and Heckerman, D. Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction. In Motro, A, and Smets, P, Eds., Uncertainty Management in Information Systems. Boston: Kluwer, 1997, 255-284.

Suermondt, H.J. Decision Support Systems In Van Bemmel, J, McCray, A, Eds., Yearbook of Medical Informatics 96,Berlin: Schattauer, 1996, pp 367-370

Rotman, BL, Sullivan, AN, McDonald, TW, Brown, BW, DeSmedt, P, Goodnature, D, Higgins, MC, Suermondt, HJ, Young, C, and Owens, DK. A randomized controlled trial of a computer-based physician workstation in an outpatient setting: implementation barriers to outcome evaluation. In Van Bemmel, JH, and McCray, AT, Eds., Yearbook of Medical Informatics 97: Computing and Collaborative Care. Stuttgart, Germany: Schattauer, 1997, 162-170. Reprinted from Journal of the American Medical Informatics Association, 3 (1996) 340-348

Rotman BL, Sullivan AN, McDonald T, DeSmedt P, Goodnature D, Higgins MC, Suermondt HJ, Young C, Owens DK. A randomized evaluation of a computer-based physician's workstation: Design considerations and baseline results. In Gardner, RM, Ed., Proceedings of the 19th Annual Symposium on Computer Applications in Medical Care, New Orleans, LA. Philadephia: Hanley and Belfus, 1995, pp 693-697.

Tang PC; Annevelink J; Suermondt HJ; Young CY. Semantic integration of information in a physician's workstation. International Journal of Bio-Medical Computing, 1994 Feb, 35(1):47-60.

Pham, TQ, Young, CY, Tang, PC, Suermondt, HJ, Annevelink, J Implementing a Physician's Workstation using Client/Server Technology and the Distributed Computing Environment. In Ozbolt, JG, Ed., Proc. 18th Symposium on Computer Applications in Medical Care. Philadelphia: Hanley and Belfus, 1994, 626-630.

Rotman BL, McDonald TW, Suermondt HJ, De Smedt P, Strong PC, Young CY, Owens DK. Computer-based detection of drug interactions in an ambulatory care practice. Medical Decision Making, 1994

Druzdzel, MJ, and Suermondt, HJ. Relevance in Probabilistic Models: "Backyards" in a "Small World". In Greiner, R. and Subramanian, D., Eds., Proc. AAAI Fall Symposium on Relevance. New Orleans, Louisiana: American Association for Artificial Intelligence, 1994, 60-63.

Suermondt, HJ, Tang, PC, Strong, PC, Young, CY and Annevelink, J, Automated Identification of Relevant Patient Information in a Physician's Workstation, In: Safran, C., Ed., Proceedings of the Seventeenth Symposium on Computer Applications in Medical Care 1993. McGraw-Hill, New York, 1993, pp. 229-232.

Suermondt HJ, Cooper GF An evaluation of explanations of probabilistic inference Computers and Biomedical Research, 26 (1993) 242-254

Suermondt HJ, Howard SK, Gaba DM, Cooper GF The role of explanation on the effects of decision support on diagnostic accuracy. Anesthesiology 76: A560, 1992


Stanford technical reports

Available from Stanford Medical Informatics

A number of reports produced by members of the SMI also appear as Knowledge Systems Lab and/or Computer Science Dept reports.


STAN-CS-92-1417
H. J. Suermondt Explanation in Bayesian Belief Networks. PhD Thesis, Departments of Computer Science and Medicine, Stanford University, Stanford, CA, March 1992. (Available from University Microfilms International)
SMI-92-0414
H. J. Suermondt & G. F. Cooper. An Evaluation of Explanations of Probabilistic Inference. Sixteenth Annual Symposium on Computer Applications in Medical Care, Baltimore, MD, 579-585. 1992.
SMI-91-0375
H. J. Suermondt. Explanation of Probabilistic Inference in Bayesian Belief Networks. 1991.
SMI-91-0293
H. J. Suermondt & G. F. Cooper. A Combination of Exact Algorithms for Inference on Bayesian Belief Networks. International Journal of Approximate Reasoning 5:521-542, 1991.
SMI-89-0276
H. J. Suermondt & G. F. Cooper. Initialization for the Method of Conditioning in Bayesian Belief Networks. Artificial Intelligence 50:83-94, 1989.
SMI-89-0268
E. J. Horvitz, H. J. Suermondt, & G. F. Cooper. Bounded Conditioning: Flexible Inference for Decisions Under Scarce Resources. Fifth Workshop on Uncertainty in Artificial Intelligence, Windsor, Ontario, 182-193. 1989.
SMI-89-0253
H. J. Suermondt & M. D. Amylon. Probabilistic Prediction of the Outcome of Bone-Marrow Transplantation. Thirteenth Annual Symposium on Computer Applications in Medical Care, Washington, D.C., 208-212. 1989.
SMI-89-0247
H. J. Suermondt & G. F. Cooper. Probabilistic Inference in Multiply Connected Brief Networks Using Loop Cutsets. International Journal of Approximate Reasoning 4:283-306, 1990.
SMI-88-0239
I. A. Beinlich, H. J. Suermondt, R. M. Chavez, & G. F. Cooper. The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks. Second European Conference on Artificial Intelligence in Medicine, London, 38:247-256. 1989.
SMI-88-0212
E. J. Horvitz & H. J. Suermondt. Bounded Conditioning: A Flexible Probabilistic Inference Algorithm. October 1988.
SMI-88-0207
H. J. Suermondt & G. F. Cooper. Updating Probabilities in Multiply-Connected Belief Networks. Fourth Workshop on Uncertainty in Artificial Intelligence, Minneapolis, MN, 335-343. 1988.

 

Privacy statement Using this site means you accept its terms Feedback to HP Labs
© 2009 Hewlett-Packard Development Company, L.P.