Year |
Citation |
Score |
2020 |
Shenoy PP. An expectation operator for belief functions in the Dempster–Shafer theory* International Journal of General Systems. 49: 112-141. DOI: 10.1080/03081079.2019.1658756 |
0.344 |
|
2020 |
Denoeux T, Shenoy PP. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions International Journal of Approximate Reasoning. 124: 194-216. DOI: 10.1016/J.Ijar.2020.06.008 |
0.442 |
|
2020 |
Jiroušek R, Shenoy PP. On properties of a new decomposable entropy of Dempster-Shafer belief functions International Journal of Approximate Reasoning. 119: 260-279. DOI: 10.1016/J.Ijar.2020.01.004 |
0.354 |
|
2020 |
Tan Y, Shenoy PP. A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification International Journal of Approximate Reasoning. 117: 15-28. DOI: 10.1016/J.Ijar.2019.09.007 |
0.338 |
|
2019 |
Jaunzemis AD, Holzinger MJ, Chan MW, Shenoy PP. Evidence gathering for hypothesis resolution using judicial evidential reasoning Information Fusion. 49: 26-45. DOI: 10.1016/J.Inffus.2018.09.010 |
0.403 |
|
2018 |
Jiroušek R, Shenoy PP. A new definition of entropy of belief functions in the Dempster–Shafer theory International Journal of Approximate Reasoning. 92: 49-65. DOI: 10.1016/J.Ijar.2017.10.010 |
0.349 |
|
2017 |
Cobb BR, Shenoy PP. Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals International Journal of Intelligent Systems. 32: 1217-1246. DOI: 10.1002/Int.21897 |
0.68 |
|
2015 |
Shenoy PP, Rumí R, Salmerón A. Practical aspects of solving hybrid Bayesian networks containing deterministic conditionals International Journal of Intelligent Systems. 30: 265-291. DOI: 10.1002/Int.21700 |
0.443 |
|
2014 |
Jiroušek R, Shenoy PP. Causal compositional models in valuation-based systems with examples in specific theories International Journal of Approximate Reasoning. DOI: 10.1016/J.Ijar.2015.10.003 |
0.431 |
|
2014 |
Jiroušek R, Shenoy PP. Compositional models in valuation-based systems International Journal of Approximate Reasoning. 55: 277-293. DOI: 10.1016/J.Ijar.2013.02.002 |
0.401 |
|
2012 |
Li Y, Shenoy PP. A framework for solving hybrid influence diagrams containing deterministic conditional distributions Decision Analysis. 9: 55-75. DOI: 10.1287/Deca.1120.0230 |
0.41 |
|
2012 |
Shenoy PP. Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks International Journal of Approximate Reasoning. 53: 847-866. DOI: 10.1016/J.Ijar.2012.01.008 |
0.46 |
|
2012 |
Cinicioglu EN, Shenoy PP. A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores Annals of Operations Research. 1-21. DOI: 10.1007/S10479-012-1171-9 |
0.743 |
|
2012 |
Rumí R, Salmerón A, Shenoy PP. Tractable inference in hybrid bayesian networks with deterministic conditionals using re-approximations Proceedings of the 6th European Workshop On Probabilistic Graphical Models, Pgm 2012. 275-282. |
0.315 |
|
2012 |
Cobb BR, Shenoy PP. Piecewise linear approximations of nonlinear deterministic conditionals in continuous Bayesian networks Proceedings of the 6th European Workshop On Probabilistic Graphical Models, Pgm 2012. 59-66. |
0.659 |
|
2011 |
Shenoy PP, Rumí R, Salmerón A. Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals International Conference On Intelligent Systems Design and Applications, Isda. 605-610. DOI: 10.1109/ISDA.2011.6121722 |
0.355 |
|
2011 |
Bielza C, Gómez M, Shenoy PP. A review of representation issues and modeling challenges with influence diagrams Omega. 39: 227-241. DOI: 10.1016/J.Omega.2010.07.003 |
0.426 |
|
2011 |
Shenoy PP, West JC. Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals International Journal of Approximate Reasoning. 52: 805-818. DOI: 10.1016/J.Ijar.2011.02.005 |
0.484 |
|
2011 |
Shenoy PP, West JC. Inference in hybrid Bayesian networks using mixtures of polynomials International Journal of Approximate Reasoning. 52: 641-657. DOI: 10.1016/J.Ijar.2010.09.003 |
0.489 |
|
2011 |
Giang PH, Shenoy PP. A decision theory for partially consonant belief functions International Journal of Approximate Reasoning. 52: 375-394. DOI: 10.1016/J.Ijar.2010.09.001 |
0.75 |
|
2011 |
Shenoy PP. A re-definition of mixtures of polynomials for inference in hybrid bayesian networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6717: 98-109. DOI: 10.1007/978-3-642-22152-1_9 |
0.393 |
|
2010 |
Bielza C, Gómez M, Shenoy PP. Modeling challenges with influence diagrams: Constructing probability and utility models Decision Support Systems. 49: 354-364. DOI: 10.1016/j.dss.2010.04.003 |
0.361 |
|
2009 |
Cinicioglu EN, Shenoy PP. Arc reversals in hybrid Bayesian networks with deterministic variables International Journal of Approximate Reasoning. 50: 763-777. DOI: 10.1016/J.Ijar.2009.02.005 |
0.769 |
|
2009 |
Shenoy PP, West JC. Inference in hybrid Bayesian networks with deterministic variables Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5590: 46-58. DOI: 10.1007/978-3-642-02906-6_6 |
0.386 |
|
2008 |
Cobb BR, Shenoy PP. Decision making with hybrid influence diagrams using mixtures of truncated exponentials European Journal of Operational Research. 186: 261-275. DOI: 10.1016/J.Ejor.2007.01.036 |
0.708 |
|
2007 |
Sun L, Shenoy PP. Using Bayesian networks for bankruptcy prediction: Some methodological issues European Journal of Operational Research. 180: 738-753. DOI: 10.1016/J.Ejor.2006.04.019 |
0.438 |
|
2007 |
Cinicioglu EN, Shenoy PP, Kocabasoglu C. Use of radio frequency identification for targeted advertising: A collaborative filtering approach using Bayesian networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4724: 889-900. |
0.736 |
|
2006 |
Jensen FV, Nielsen TD, Shenoy PP. Sequential influence diagrams: A unified asymmetry framework International Journal of Approximate Reasoning. 42: 101-118. DOI: 10.1016/J.Ijar.2005.10.007 |
0.378 |
|
2006 |
Cobb BR, Shenoy PP. Operations for inference in continuous Bayesian networks with linear deterministic variables International Journal of Approximate Reasoning. 42: 21-36. DOI: 10.1016/J.Ijar.2005.10.002 |
0.72 |
|
2006 |
Cobb BR, Shenoy PP. On the plausibility transformation method for translating belief function models to probability models International Journal of Approximate Reasoning. 41: 314-330. DOI: 10.1016/J.Ijar.2005.06.008 |
0.669 |
|
2006 |
Cobb BR, Shenoy PP. Inference in hybrid Bayesian networks with mixtures of truncated exponentials International Journal of Approximate Reasoning. 41: 257-286. DOI: 10.1016/J.Ijar.2005.06.002 |
0.723 |
|
2006 |
Demirer R, Shenoy PP. Sequential valuation networks for asymmetric decision problems European Journal of Operational Research. 169: 286-309. DOI: 10.1016/J.Ejor.2004.06.009 |
0.424 |
|
2006 |
Cobb BR, Shenoy PP, Rumí R. Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials Statistics and Computing. 16: 293-308. DOI: 10.1007/S11222-006-8175-8 |
0.714 |
|
2006 |
Shenoy PP. Inference in hybrid Bayesian networks using mixtures of Gaussians Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 428-436. |
0.361 |
|
2005 |
Giang PH, Shenoy PP. Two axiomatic approaches to decision making using possibility theory European Journal of Operational Research. 162: 450-467. DOI: 10.1016/J.Ejor.2003.05.004 |
0.734 |
|
2005 |
Giang PH, Shenoy PP. Decision making on the sole basis of statistical likelihood Artificial Intelligence. 165: 37-163. DOI: 10.1016/J.Artint.2005.03.004 |
0.753 |
|
2005 |
Cobb BR, Shenoy PP. Nonlinear deterministic relationships in Bayesian networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3571: 27-38. |
0.696 |
|
2005 |
Cobb BR, Shenoy PP. Hybrid Bayesian networks with linear deterministic variables Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 136-144. |
0.699 |
|
2004 |
Charnes JM, Shenoy PP. Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation Management Science. 50: 405-418. DOI: 10.1287/Mnsc.1030.0138 |
0.372 |
|
2004 |
Liu L, Shenoy PP. Representing asymmetric decision problems using coarse valuations Decision Support Systems. 37: 119-135. DOI: 10.1016/S0167-9236(02)00210-5 |
0.344 |
|
2003 |
Cobb BR, Shenoy PP. A comparison of Bayesian and belief function reasoning Information Systems Frontiers. 5: 345-358. DOI: 10.1023/B:Isfi.0000005650.63806.03 |
0.668 |
|
2003 |
Shenoy PP, Srivastava RP. Application of Uncertain Reasoning to Business Decisions An Introduction Information Systems Frontiers. 5: 343-344. DOI: 10.1023/B:Isfi.0000005649.88050.9F |
0.323 |
|
2003 |
Cobb BR, Shenoy PP. A comparison of methods for transforming belief function models to probability models Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2711: 255-266. |
0.635 |
|
2001 |
Nadkarni S, Shenoy PP. Bayesian network approach to making inferences in causal maps European Journal of Operational Research. 128: 479-498. DOI: 10.1016/S0377-2217(99)00368-9 |
0.334 |
|
2001 |
Demirer R, Shenoy PP. Sequential valuation networks: A new graphical technique for asymmetric decision problems Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2143: 252-265. |
0.339 |
|
2000 |
Shenoy PP. Valuation network representation and solution of asymmetric decision problems European Journal of Operational Research. 121: 579-608. DOI: 10.1016/S0377-2217(99)00055-7 |
0.401 |
|
1999 |
Bielza C, Shenoy PP. Comparison of graphical techniques for asymmetric decision problems Management Science. 45: 1552-1569. DOI: 10.1287/Mnsc.45.11.1552 |
0.352 |
|
1998 |
Shenoy PP. Game trees for decision analysis Theory and Decision. 44: 149-171. DOI: 10.1023/A:1004982328196 |
0.367 |
|
1998 |
Schmidt T, Shenoy PP. Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals Artificial Intelligence. 102: 323-333. DOI: 10.1016/S0004-3702(98)00047-2 |
0.329 |
|
1996 |
Guo R, Shenoy PP. A note on Kirkwood's algebraic method for decision problems European Journal of Operational Research. 93: 628-638. DOI: 10.1016/0377-2217(95)00086-0 |
0.411 |
|
1995 |
Liu L, Shenoy PP. A theory of coarse utility Journal of Risk and Uncertainty. 11: 17-49. DOI: 10.1007/Bf01132729 |
0.416 |
|
1995 |
Srivastava RP, Shenoy PP, Shafer GR. Propagating Belief Functions in AND-Trees International Journal of Intelligent Systems. 10: 647-664. DOI: 10.1002/Int.4550100703 |
0.311 |
|
1994 |
Shenoy PP. Consistency in Valuation-Based Systems Informs Journal On Computing. 6: 281-291. DOI: 10.1287/Ijoc.6.3.281 |
0.308 |
|
1994 |
Shenoy PP. Representing Conditional Independence Relations By Valuation Networks International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2: 143-165. DOI: 10.1142/S0218488594000134 |
0.421 |
|
1994 |
Shenoy PP. Conditional independence in valuation-based systems International Journal of Approximate Reasoning. 10: 203-234. DOI: 10.1016/0888-613X(94)90001-9 |
0.371 |
|
1994 |
Shenoy PP. A comparison of graphical techniques for decision analysis European Journal of Operational Research. 78: 1-21. DOI: 10.1016/0377-2217(94)90118-X |
0.42 |
|
1992 |
Shenoy PP. Valuation-based systems for Bayesian decision analysis Operations Research. 40: 463-484. DOI: 10.1287/Opre.40.3.463 |
0.411 |
|
1992 |
Shenoy PP. Using Dempster-Shafer's belief-function theory in expert systems Proceedings of Spie. 1707: 2-14. DOI: 10.1117/12.56867 |
0.34 |
|
1992 |
Shenoy PP. Using possibility theory in expert systems Fuzzy Sets and Systems. 52: 129-142. DOI: 10.1016/0165-0114(92)90045-6 |
0.35 |
|
1991 |
Shenoy PP. On Spohn's rule for revision of beliefs International Journal of Approximate Reasoning. 5: 149-181. DOI: 10.1016/0888-613X(91)90035-K |
0.348 |
|
1990 |
Shenoy PP, Biswas G. Belief functions and belief maintenance in artificial intelligence International Journal of Approximate Reasoning. 4: 319-322. DOI: 10.1016/0888-613X(90)90011-P |
0.354 |
|
1987 |
Shafer G, Shenoy PP, Mellouli K. Propagating belief functions in qualitative Markov trees International Journal of Approximate Reasoning. 1: 349-400. DOI: 10.1016/0888-613X(87)90024-7 |
0.399 |
|
1980 |
Shenoy PP. On Committee Decision Making: A Game Theoretical Approach Management Science. 26: 387-400. DOI: 10.1287/Mnsc.26.4.387 |
0.357 |
|
1978 |
Shenoy PP. On coalition formation in simple games: A mathematical analysis of Caplow's and Gamson's theories Journal of Mathematical Psychology. 18: 177-194. DOI: 10.1016/0022-2496(78)90061-5 |
0.315 |
|
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