Conference Publications

2015 to 2011

2015

  1. Pillai PS. Leong TY. Fusing heterogeneous data for Alzheimer’s disease classification. 15th World Congress on Medical and Health Informatics (MEDINFO 2015); Aug 19-23; Sau Paolo, Brazil. 2015.

2014

  1. Andberg, S., P. S. Pillai and T.-Y. Leong (2014). Magnetic resonance imaging (MRI) image processing workbench for Alzheimer’s disease classification. 8th Conference of the Asia Paciific Association of Medical Informatics (APAMI 2014). New Delhi, India.
  2. Nguyen Dinh, T. H., T. V. Silander, W.-S. Lee and T.-Y. Leong (2014). Bootstrapping simulation-based algorithms with a suboptimal policy. In Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014), Portsmouth, USA: 181-9
  3. Su, B., Dinh, T. A., Ambastha, A. K., Gong, T., Silander, T., Lu, S., B. C. Pang, C. C. T. Lim, C. K. Lee, T.-Y. Leong & Tan, C. L. (2014, August). Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. In Pattern Recognition (ICPR), 2014 22nd International Conference on (pp. 3245-3250). IEEE.

2013

  1. Dinh, T. A., T. V. Silander, B. Su, T. Gong, B. C. Pang, C. C. T. Lim, C. K. Lee, C. L. Tan and T.-Y. Leong (2013). Unsupervised medical image classification by combining case-based classifiers. In Proceedings of the 14th World Congress on Health and Biomedical Informatics (MEDINFO 2013), Copenhagen, Denmark, IOS Press.
  2. Nguyen Dinh, T. H., T. V. Silander, W.-S. Lee and T.-Y. Leong (2013). Bootstrapping simulation-based algorithms with a suboptimal policy. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), Prague, Czech Ruplic.
  3. Nguyen Thanh, T., Z. Li, T. V. Silander and T.-Y. Leong (2013). Online feature selection for model-based reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML 2013). Atlanta, USA.
  4. Silander, T. V. and T.-Y. Leong (2013). A dynamic programming algorithm for learning chain event graphs. In Proceedings of the Sixteenth International Conference on Discovery Science (DS 2013), Singapore: 201-16.

2012

  1. Dinh, T. A., T. V. Silander, C. C. T. Lim and T. Y. Leong (2012). An automated pathological class level annotation system for volumetric brain images. In Proceedings of the American Medical Informatics Association Annual Symposium (AMIA 2012). Chicago, IL, USA: 1201–10.
  2. Leong, T. Y. (2012). Toward patient-centered, personalized and personal decision support and knowledge management: A survey. Yearb Med Inform 7(1): 104-112.
  3. Nguyen Dinh, T. H., W.-S. Lee and T.-Y. Leong (2012). Bootstrapping Monte Carlo tree search with an imperfect heuristic. In Proceedings of the European conference on machine learning and principles and practice of knowledge discovery in databases (ECML PKDD 2012). P. Flach Et Al., Springer-Verlag. II: 164–179.
  4. Nguyen Thanh, T., T. V. Silander and T.-Y. Leong (2012). Transferring Expectations in Model-based Reinforcement Learning. Advances in Neural Information Processing Systems 25 (NIPS 2012). P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou and K. Q. Weinberger: 2564–72.

2011

  1. Dinh, T. A., T. V. Silander, C. C. T. Lim and T. Y. Leong (2011). A generative model based approach to retrieving ischemic stroke images. In Proceedings of the American Medical Informatics Association Annual Symposium (AMIA 2011). Washington D. C. USA: 312-321.
  2. Nguyen, D. T. H., D. Y. Hsu, W.-S. Lee, T.-Y. Leong, L. Kaelbling, T. Lozano-Perez and A. H. Grant (2011). CAPIR: Collaborative action planning with intention recognition. In Proceedings of the Seventh Annual International Artificial Intelligence in Interactive and Digital Media Conference (AIIDE 2011). Palo Alto, CA, AAAI Press: 61-66.

2010 to 2006

2010

  1. Guo, W. and T.-Y. Leong (2010). An analytic characterization of model minimization in factored Markov decision processes. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2010), Atlanta, Georgia, AAAI Press.
  2. Chen, Q. and T.-Y. Leong (2010). Towards a multi-level game model for influenza epidemics. In Proceedings of the 2010 World Congress on Medical Informatics (MEDINFO 2010), Cape Town, South Africa, IOS Press.
  3. Yin, H. and T.-Y. Leong (2010). A model-driven approach to imbalanced data sampling in medical decision making. In Proceedings of the 2010 World Congress on Medical Informatics (MEDINFO 2010), Cape Town, South Africa, IOS Press. To appear.

2009

  1. Li, G. and T.-Y. Leong (2009). Active learning for causal bayesian network structure with non-symmetrical entropy. In T. Theeramunkong, B. Kijsirikul, N. Cercone and T. B. Ho, Eds. LNAI 5467 Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference, PAKDD 2009 Proceedings, Bangkok, Thailand, Berlin / Heidelberg: Springer. vol. 5476/2009.
  2. Nguyen, D. T. H. and T.-Y. Leong (2009). A surprise triggered adaptive and reactive (STAR) framework for online adaptation in non-stationary environments. In C. J. Darken and G. M. Youngblood, Eds. Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment International Conference (AIIDE 2009), Palo Alto, California, AAAI Press: 82-87.

2008

  1. Gong, T., C. L. Tan, T. Y. Leong, C. K. Lee, B. C. Pang, C. C. T. Lim, Q. Tian, S. Tang and Z. Zhang (2008). Text mining in radiology reports. In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (ICDM), Pisa, Italy, IEEE Computer Society: 815-820.

2007

  1. Joshi, R, Li, G, and Leong, TY (2007). Context-aware probabilistic reasoning for proactive health care In: . Intl. Joint Conf on Artificial Intelligence (IJCAI), Workshop on AITAmIA’07.
  2. Guoliang Li, Jian Ma, Louxin Zhang, Selecting Genomes for Reconstruction of Ancestral Genomes, Proceedings of the Fifth Annual RECOMB Satellite Workshop on Comparative Genomics (RECOMB-CG), LNBI 4751 (2007) 110-121.
  3. Guoliang Li, Tze-Yun LEONG, Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report, in: World Congress on Health (Medical) Informatics (MedInfo) (IOS Press, Brisbane, Australia, 2007) 560-565.
  4. Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng, Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data, in: World Congress on Health (Medical) Informatics (MedInfo) (IOS Press, Brisbane, Australia, 2007) 1219-1224.

2006

  1. J. Liu, T.Y. Leong, Chee K. B., Tan B. P., Shuter B., and Wang S.C. A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation. In Proceeding of the 8th International Conference on Enterprise Information Systems (Pattern Recognition) (2006).
  2. J. Liu, T.Y. Leong, Chee Kin Ban, Tan Boon Pin, Shuter Borys, Wang Shih-Chang. Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). 2006 Annual Conference of American Medical Informatics Association.
  3. J. Liu, T.Y. Leong, Tan Boon Pin Eric, Chee Kin Ban, Shuter Borys, Wang Shi-Chang. A Set-based Hybrid Approach (SHA) for MRI Segmentation. The 9th International Conference on Control, Automation, Robotics and Vision 2006.
  4. G. Li, T.-Y. Leong, L. Zhang, B. Han, Estimating Relative Transcriptional Time Delays from Multiple Microarray Time-Series Data, The 3rd Annual RECOMB Satellite Workshop on Regulatory Genomics (2006) 138-139.

2005 to 2001

2005

  1. C.A. Jiang, K.L. Poh and T.Y. Leong. Integration of Probabilistic Graphic Models for Decision Support. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
  2. C.A. Jiang, K.L. Poh and T.Y. Leong. PGMC: A Framework for Probabilistic Graphic Model Combination. In American Medical Informatics Association Annual Symposium (AMIA) 2005, Washington, DC.
  3. G.L. Li and T.Y.Leong, A framework to learn Bayesian Networks from changing, multiple-source biomedical data. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
  4. L. Lin, L. Wong, T.Y. Leong, and P.S. Lai. LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. In the International Conference on Database Systems for Advanced Applications (DASFAA), Beijing – China , 18-20 April 2005.
  5. R. Joshi, and T.Y.Leong, Adaptive Modeling Framework for Systems Biology. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
  6. Y.F. Zeng and K.L. Poh. Graphical Multiagent Decision Model: Towards Adaptability. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
  7. Y.F. Zeng, G.Q. Liu and K.L. Poh. Grid-enabled Bayesian Network. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
  8. Y.P. Xiang and K.L. Poh. Constructing Bayesian Network in a Changing World. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.

2004

  1. B. Han, T.Y. Leong. We did the right thing: An intervention analysis approach to modeling intervened SARS propagation in Singapore. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
  2. B. Han, T.Y. Leong, G.L. Li. Learning the Dynamic Bayesian Networks Structure of Ventilation Process in a Linear System Identification Perspective. In IEEE Workshop on Life Science Data Mining, 2004.
  3. C.H. Ong, T.Y. Leong. Supporting Decision-Making in Intrusion Detection.In American Association for Artificial Intelligence (AAAI) Workshop, 2004.
  4. G.L. Li and T.Y. Leong. A feature-based data mining approach to improve translation initiation site prediction. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
  5. G.L. Li, T.Y. Leong, L.X. Zhang. Translation Initiation Sites Prediction with Mixture Gaussian Models. In Proceedings of the 4th Workshop on Algorithms in Bioinformatics (WABI 2004), (Bergen, Norway, 2004) 338-349
  6. L. Lin, K.L. Poh, T.Y. Leong and T.K. Lim. Optimal time for surgical intervention in the management of spontaneous pneumothorax: a dynamic decision analytic approach. In Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2004), Gold Coast – Australia, 12-14 July 2004.
  7. L.Lin, L.Wong, T.Y. Leong, and P.S. Lai. Mining of Disease Associated Haplotype Patterns for Hemophilia A. In Asia-Pacific Conference on Human Genetics (HUGO2004), Biopolis , Singapore , 17-20 November 2004.
  8. R. Joshi, X.L. Li, S. Ramachandaran, T.Y. Leong. Automatic Model Structuring from Text using BioMedical Ontology. In American Association for Artificial Intelligence (AAAI) Workshop, 2004.
  9. S.P. Chan and K.L. Poh. Application of Bayesian Linear Regression in Biomedical Research. To appear in SGH Proceedings, 2004.
  10. S.S. Wong, A.P.K. Leong, T.Y. Leong. Cost-effectiveness analysis of colorectal cancer screening strategies in Singapore: A dynamic decision analytic approach. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
  11. T.L. Tay, K.M. Ng, and K.L. Poh. Job rostering with personnel and equipment constraints. In H.S. Hwang, M. Gen and C. Moon (Editors), Proceedings of the 33rd International Conference on Computers and Industrial Engineering: New Paradigm of Industrial Engineering; Creative Enhancement of IE Technology and Application, Korea, March 25-27, 2004.
  12. X.L. Li, T.Y. Leong. A support vector machine approach to solving the breast cancer diagnosis problem. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
  13. X.L. Li, R. Joshi, S. Ramachandaran, T.Y. Leong. Classifying Biomedical Citations without Labeled Training Examples. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2004.
  14. Y.F. Zeng and K.L. Poh. Graphical Multiagent Decision Model with Conflicting Information. To appear in Proceedings of the International Conference on Advances in Intelligent Systems – Theory and Applications in cooperation with IEEE Computer Society – AISTA’2004.
  15. Y.F. Zeng and K.L. Poh. Block Learning Bayesian Network Structures from data. In Proceedings of the Fourth International Conference on Hybrid Intelligent Systems (HIS’04), IEEE Computer Society, 2004.
  16. Y.P. Xiang and K.L. Poh. Building bayesian network for probabilistic situation assessment. In Proceedings of the Fifth Asia-Pacific Industrial Engineering and Management Systems Conference (APIEM2004), Gold Coast, Australia December 12-15, 2004.

2003

  1. A.L. Zhu, J. Li and T.Y. Leong. Automated knowledge extraction for decision model construction: A data mining approach. In Proceedings of the American Medical Informatics Association (AMIA) Annual Fall Symposium, pp. 758-762, 2003.
  2. B. Liu, Y. Dai, X.L. Li, W. S. Lee and P. Yu. Building text classifiers using positive and unlabeled examples. In Proceedings of the Third IEEE International Conference on Data Mining (ICDM-03), November 19-22, Melbourne, Florida, pp179-186, 2003.
  3. G. Chen and K.L. Poh. Mutual fund performance appraisals: A mean-variance data envelopment analysis model. In Z. Jiang, X. Qian and Z Jiang (editors), Proceedings of IE&EM’2003, The Tenth International Conference on Industrial Engineering & Engineering Management: Global Industrial Engineering in E-century, Shanghai, pp 277, 2003.
  4. G.Q. Liu, K.L. Poh and M. Xie. A parallel tabu search for reliability-based program and file allocation. In Proceedings of the Eighth Annual International Conference on Industrial Engineering Theory, Applications and Practice, Las Vegas, pp 974-979, 2003.
  5. L. Yi, B. Liu and X.L. Li. Eliminating noisy information in web pages for data mining. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2003), Washington DC, pp 296-305, 2003.
  6. L. Lin, K.L. Poh, T.Y. Leong and T.K. Lim. Optimal time for surgical intervention in the management of spontaneous pneumothorax: A decision analysis. In Programme & Abstracts of the 2003 International Conference on Evidence-based Medicine (ICEBM’2003), October 18-19, Singapore, pp 67, 2003.
  7. W. Wang and K.L. Poh. Multicriteria decision making based on confidence analysis in fuzzy environment. In Y. Liu, G. Chen, M. Ying and K.Y. Cai (Editors), Proceedings of the International Conference on Fuzzy Information Processing: Theories and Applications (FIP2003), pp 643-648, 2003.
  8. W. Wang and K.L. Poh. Fuzzy MCDM based on confidence analysis. In E.L. Gonzalez and C.M. Cuervo (Editors), Proceedings of the Tenth International Association for Fuzzy-Set Management and Economy Congress: Emergent Solutions for the Information and Knowledge Economy, October 9-11, Leon, Spain, Vol. II, pp. 3-15, 2003.
  9. X.L. Li and B. Liu. Learning to classify texts using positive and unlabeled data. In Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-2003), August 9-15, Acapulco, Mexico, pp 587-592, 2003.
  10. Y.F. Zeng and K.L. Poh. A symbolic method for structure verification in multiply sectioned Bayesian networks. In A. Abraham, M. Kpppen and K. Franke (editors), Design and Application of Hybrid Intelligent Systems, Netherlands, pp 379-388, 2003.
  11. Y.F. Zeng and K.L. Poh. Approximate inference in multiply sectioned Bayesian networks: Method, evaluation and framework. In P. Vadakkepat, W.W. Tan, K.C. Tan, and A.P. Loh (editors), Proceedings of the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Singapore, pp 40, 2003.

2002

  1. L. Lin, L. Wong, T. Y. Leong, and P. S. Lai, Mining of Correlated Rules in Genome Sequences, In Proceedings of the AMIA Conference 2002, San Antonio, Texas, November 9-13, 2002.
  2. L. Lin, K. L. Poh, T. K. Lim, The Cost-Effectiveness Of Managing Chronic Cough, In The 7th Congress of the Asian Pacific Society of Respiratory – APSR, Taipei, Taiwan, October 24-27, 2002, pp. 125.
  3. L. Lin, K. L. Poh, T. Y. Leong, T. K. Lim, Management Of Spontaneous Pneumothorax: A Decision Analysis, In The 7th Congress of the Asian Pacific Society of Respiratory – APSR, Taipei, Taiwan, October 24-27, 2002, pp. 134.
  4. S. S. Xu and K. L. Poh, Value of Information Analysis in Dynamic Decision Models, In Proceedings of the 2002 AAAI Spring Symposium on Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction, pp. 109-114, AAAI Press, Meno Park, California, 2002. Available as AAAI Technical Report SS-02-03, 2002.

2001

  1. C. S. Dora, M. Sarkar, S. Sundaresh, D. Harmanec, T. T. Yeo, K. L. Poh, and T. Y. Leong, Building decision support systems for treating severe head injuries, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2001.
  2. J. Li and T. Y. Leong, PDL: A definition language for trend pattern representation and detection in medicine, In Proceedings of American Medical Informatics Association Annual Symposium (AMIA), pp 588-592 Hanley & Balfus, Inc. Medical Publishers, Philadelphia, 2001.
  3. L. Lin, K. L. Poh, and T. K. Lim, Empirical treatment of chronic cough: A cost-effectiveness analysis, In Proceedings of American Medical Informatics Association Annual Symposium (AMIA), pp 383-387, Hanley & Balfus, Inc. Medical Publishers, Philadelphia, 2001.
  4. M. Sarkar, Characterization of medical time series using roughness: A fractal and fuzzy-rough set based approach, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2001.
  5. M. Sarkar and T. Y. Leong, Fuzzy k-means clustering with missing values, In Proceedings of American Medical Informatics Association Annual Symposium (AMIA), pp. 588-592 Hanley & Balfus, Inc. Medical Publishers, Philadelphia, 2001.
  6. M. Sarkar and T. Y. Leong, Fuzzy similarity based fractal dimensions to characterize medical time series, Proceedings of International Conference on Machine Learning (ICML), 2001.
  7. M. Sarkar and T. Y. Leong, Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem, Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2001.
  8. M. Sarkar and T. Y. Leong, Splice junction classification problems for dna sequences: Representation issues, Proceedings of IEEE International Conference on Engineering in Medicine and Biology, 2001.
  9. M. Sarkar and T. Y. Leong, A top-down approach to abstract medical time series using linear segments, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2001.
  10. M. Sarkar, X. Z. Qi, K. L. Poh, and T. Y. Leong, Performance of existing prognostic factors to diagnose colorectal cancer — a critical view, Proceedings of IEEE International Conference on Engineering in Medicine and Biology, 2001.
  11. X. Z. Qi and T. Y. Leong, Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine, Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2001.
  12. S. S. Xu, K. L. Poh, and E. J. Horvitz, Graphical analysis of value of information in decision models, Proceedings of Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2001), pp. 155-159, 2001.

Prior to 2000

2000

  1. A. L. Zhu and T. Y. Leong, Automating dynamic decision model construction to support clinical practical guideline development, EWGLP 2000, Workshop Proceedings, pp. 73-87, 2000.
  2. F. Zhao and T. Y. Leong, A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine, Proceedings of the 2000 AMIA Annual Symposium, pp. 933-937, 2000.
  3. J. Li and T. Y. Leong, Using simple linear regression functions to abstract medical data, Proceedings of the 2000 AMIA Annual Symposium, pp. 492-496, 2000.
  4. M. Sarkar, Fuzzy-rough nearest neighbors algorithm, IEEE International Conference on Systems, Man and Cybernetics, 2000.
  5. M. Sarkar and T. Y. Leong, Application of k-nearest neighbors algorithm on breast cancer diagnosis problem, Proceedings of the 2000 AMIA Annual Symposium, 2000.
  6. M. Sarkar, Modularity in pattern classifiers, IEEE International Conference on Systems, Man and Cybernetics, 2000.
  7. T. C. Lau, M. J. Druzdel, and T. Y. Leong, Causal mechanism-based model construction, Uncertainty in Artificial Intelligence 2000, pp. 353-362, 2000.

1999

  1. D. Harmanec, Faithful approximations of belief functions, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI 1999), pp. 271-278, 1999.
  2. D. Harmanec, A generalization of the concept of Markov decision process to imprecise probabilities, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, pp. 175-182, 1999.
  3. D. Harmanec, T. Y. Leong, S. Sundaresh, K. L. Poh, T. T. Yeo, I. Ng, and T. W. K. Lew, Decision analytic approach to severe head injury management, Proceedings of the 1999 AMIA Annual Symposium, pp. 271-275, 1999.
  4. A. H. Lau and T. Y. Leong, PROBES: A framework for probabilities elicitation from experts, Proceedings of the 1999 AMIA Annual Symposium, pp. 301-305, 1999.
  5. J. Li and T. Y. Leong, An architecture for automated development of clinical practice guidelines in critical care: Preliminary report, Workshop: Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 99), pp. 64-66, 1999.
  6. S. Sundaresh, P. Haddawy, T. Y. Leong and K. L. Poh, Multi-level multi-perspective reasoning, Proceedings of the National Computer Science and Engineering Conference (NESEC 1999), pp. 67-74, 1999.
  7. S. Sundaresh, T. Y. Leong, and P. Haddawy, Supporting multi-level multi-perspective dynamic decision making in medicine, Proceedings of the 1999 AMIA Annual Symposium, pp. 161-165, 1999.
  8. Y. P. Xiang and K. L. Poh, Time-critical dynamic decision making, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAL 1999), pp. 688-695, 1999.
  9. Y. P. Xiang and K. L. Poh, Time-critical dynamic decision modeling, Proceedings of the Fifteenth National Conference of the Australian Society for Operations Research Inc incorporating ASOR Queensland Branch and ORSJ Hokkaido Chapter Joint Workshop, pp. 1390-1401, 1999.

1998

  1. C. G. Cao, T. Y. Leong, A. P. K. Leong, and F. C. Seow, Induction of diagnostic test strategies with multi-level information measures, Proceedings of Congress of International Medical Informatics Association (MEDINFO), pp. 477-482, 1998.
  2. C. G. Wang and T. Y. Leong, Knowledge-based formulation of dynamic decision models in medicine, Proceedings of the 5th Pacific-Rim Conference on Artificial Intelligence (PRICAI98), pp. 506-517, 1998.
  3. J. Y. Zheng and T. Y. Leong, Consistency management in multiple-perspective medical decision analysis, Proceedings of Congress of International Medical Informatics Association (MEDINFO), pp. 503-507, 1998.
  4. K. L. Poh and X. Wu, Computer-aided decision modeling using multilevel influence diagrams, Proceedings of the Third International Conference on Systems Science and Systems Engineering (ICSSSE’98), pp. 49-25, 1998.
  5. M. J. Druzdzel, T. C. Lu, and T. Y. Leong, Interactive construction of decision models based on causal mechanisms, In Working Notes of the AAAI Spring Symposium on Interactive and Mixed-initiative Decision-Theoretic Systems, 1998.
  6. T. Y. Leong and C. G. Cao, Modeling medical decisions in DynaMoL: A new general framework of dynamic decision analysis, Proceedings of Congress of International Medical Informatics Association (MEDINFO), pp. 483-487, 1998.
  7. X. Wu and K. L. Poh, Decision model construction with multilevel influence diagrams, AAAI-98 Spring Symposium on Interactive and Mixed-Initiative Decision Theoretic Systems, pp. 142-147, 1998.

1997

  1. C. G. Cao, Looking at the other side of knowledge, Proceedings of Pacific-Asian Conference on Expert Systems, pp. 375-382, 1997.
  2. C. G. Cao and T. Y. Leong, Learning conditional probabilities for dynamic influence views, Working Notes of the IJCAI Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP97), pp. 11-19, 1997.
  3. C. G. Cao and T. Y. Leong, Learning conditional probabilities for dynamic influence structures in medical decision models, Proceedings of the 1997 AMIA Annual Symposium, 1997.

1996

  1. C. G. Cao, Mistake modeling in medical knowledge acquisition, IJCAI Workshop on Intelligent Data Analysis in Medicine, pp. 2952-2956, 1996.
  2. C. G. Cao and T. Y. Leong, A learning approach to knowledge acquisition for therapy decision making, AIM-notes, pp. 11-15, 1996.
  3. T. Y. Leong, Multiple perspective reasoning, KR96, pp. 562-573, 1996.
  4. T. Y. Leong, A new methodology for clinical decision analysis over time: Theory and practice, AIM-notes, pp. 89-93, 1996.

1995

  1. T. Y. Leong, A general framework for dynamic decision analysis in medicine, SCAMC, pp. 964, 1995.

1994

  1. S. Yeh and T. Y. Leong, Automatic generation of transition probabilities in dynamic decision modeling: A case study, Proceedings of the AAAI Spring Symposium on Artificial Intelligence in Medicine, 1994.