Research

My research interest is in the areas Healthcare Informatics, Decision Analysis, Applied Probability, Statistics and Artificial Intelligence.

My doctoral dissertation A Decision Theory for Non-probabilistic Uncertainty and its Applications (PDF) was written under supervision of Prof. Prakash P. Shenoy.

Publications

2010 - 2011

    • P. H. Giang. Non–parametric synthesis of private probabilistic predictions. In A. Brodsky and K. B. Laskey, editors, 28th IEEE International Conference on Data Engineering (ICDE 2012) Workshop on Data-Driven Decision Support and Guidance Systems, Washinton DC, 4 2012. (To appear).(PDF)
    • P. H. Giang. Decision with Dempster–Shafer belief functions: Decision under ignorance and sequential consistency. International Journal of Approximate Reasoning, 53:38–53, 2012. (PDF)
    • P. H. Giang. Dynamic consistency and decision making under vacuous belief. In Fabio G. Cozman and Avi Pfeffer, editors, Uncertainty in Artificial Intelligence: Procs. of the 27th Conference (UAI–2011), pages 230–237. AUAI Press, 2011. (PDF)
    • P. H. Giang and P. P. Shenoy. A decision theory for partially consonant belief functions. International Journal of Approximate Reasoning, 52:375–394, 2011. (PDF)
    • P. H. Giang. On Jaffray’s decision model for belief functions. In Proc. of 5th International Conference on Soft Methods in Probability and Statistics, pages 313–320, Spain, 10 2010. Springer–Verlag. Advances in Intelligent and Soft Computing Series. (PDF)

2005 - 2009

    • G. Fung, H. Steck, S. Yu, and P. H. Giang. Improving medical predictive models via likelihood gamble pricing. In ICML/UAI/COLT 2008 Workshop on Machine Learning for Health–Care Applications, 2008.
    • P. H. Giang. A new axiomatization for likelihood gambles. In Rina Dechter and Thomas S. Richardson, editors, Uncertainty in Artificial Intelligence: Procs. of the 22nd Conference (UAI–2006), pages 192–199. AUAI Press, 2006. (PDF)
    • P. H. Giang and P. P. Shenoy. Decision making on the sole basis of statistical likelihood. Artificial Intelligence, 165:137–163, 2005. (PDF)
    • P. H. Giang and P. P. Shenoy. Two axiomatic approaches to decision making using possibility theory. European Journal of Operational Research, 162(2):450–467, 2005. (PDF)

2004 and earlier

    • P. H. Giang and S. Sandilya. Decision making with symbolic probability. In Chris Meek and Joseph Halpern, editors, Uncertainty in Artificial Intelligence: Procs. of the Twentieth Conference (UAI–2004), San Francisco, CA, 2004. Morgan Kaufmann. (PDF)
    • P. H. Giang and P. P. Shenoy. Decision making with partially consonant belief functions. In Chris Meek and Uffe Kjaerulff, editors, Uncertainty in Artificial Intelligence: Procs. of the Nineteenth Conference (UAI–2003), San Francisco, CA, 2003. Morgan Kaufmann. (PDF)
    • P. H. Giang and P. P. Shenoy. Statistical decisions using likelihood information without prior probabilities. In Adnan Darwiche and Nir Friedman, editors, Uncertainty in Artificial Intelligence: Procs. of the Eightteenth Conference (UAI–2002), pages 170–178, San Francisco, CA, 2002. Morgan Kaufmann. (PDF)
    • P. H. Giang and P. P. Shenoy. A comparison of axiomatic approaches to qualitative decision making using possibility theory. In Jack Breese and Daphne Koller, editors, Uncertainty in Artificial Intelligence: Procs. of the Seventeenth Conference (UAI–2001), pages 162–170, San Francisco, CA, 2001. Morgan Kaufmann (PDF)
    • P. H. Giang and P. P. Shenoy. A qualitative linear utility theory for Spohn’s theory of epistemic beliefs. In C. Boutilier and M. Goldszmidt, editors, Uncertainty in Artificial Intelligence: Procs. of the Sixteenth Conference (UAI–2000), pages 220–229, San Francisco, CA, 2000. Morgan Kaufmann (PDF)
    • P. H. Giang and P. P. Shenoy. On transformations between probability and Spohnian disbelief functions. In K. B. Laskey and H. Prade, editors, Uncertainty in Artificial Intelligence: Procs. of the Fifteenth Conference (UAI–99), pages 236–244, San Francisco, CA, 1999. Morgan Kaufmann (PDF)
    • P. H. Giang, D. Dubois, and H. Prade. A probabilistic approach to ordering formulas in a possibilistic knowledge base. International Journal of Uncertainty, Fuzziness and Knowledge–based Systems, 6(3):241–256, 1998.
    • P. H. Giang. Representation of uncertain belief using interval probability. In Rolf Drechsler, Okihiko Ishizuka, and Miller D. Michael, editors, Procs. of 27th International Symposium on Multiple–valued Logic, pages 111–116. IEEE Computer Society Press, 1997.
    • D. V. Hung and P. H. Giang. Sampling semantics of duration calculus. In B. Jonsson and J. Parrow, editors, Lecture Notes in Computer Science, volume 1135, pages 188–207. Springer, 1996.
    • P. H. Giang. Detection of infiniteness in Prolog programs. In Setsuo Ohsuga, editor, Procs. of Pacific Rim nternational Conference on Artificial Intelligence, Nagoya, Japan, 11 1990
    • D. D. Phan and P. H. Giang. Interval valued probabilistic logic for logic programs. Journal of Informatics and Cybernetics, 9(1), 1995. (in Vietnamese)