Year |
Citation |
Score |
2013 |
Xiang G, Kreinovich V. Data anonymization that leads to the most accurate estimates of statistical characteristics Proceedings of the 2013 Ieee Symposium On Computational Intelligence For Engineering Solutions, Cies 2013 - 2013 Ieee Symposium Series On Computational Intelligence, Ssci 2013. 163-170. DOI: 10.1109/CIES.2013.6611744 |
0.396 |
|
2013 |
Xiang G, Kreinovich V. Towards fast and accurate algorithms for processing fuzzy data: Interval computations revisited International Journal of General Systems. 42: 197-223. DOI: 10.1080/03081079.2012.745243 |
0.601 |
|
2011 |
Lo SL, Xiang G. Computing the range of variance-to-mean ratio under interval and fuzzy uncertainty Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2011.5752040 |
0.365 |
|
2011 |
Villaverde K, Xiang G. Estimating variance under interval and fuzzy uncertainty: Parallel algorithms Reliable Computing. 15: 60-68. DOI: 10.1109/FUZZY.2008.4630496 |
0.436 |
|
2011 |
Kreinovich V, Xiang G, Oberguggenberger M. How to define a confidence set for functions: A new justification of the area method International Journal of General Systems. 40: 727-739. DOI: 10.1080/03081079.2011.589841 |
0.498 |
|
2010 |
Xiang G, Kreinovich VS. Extending maximum entropy techniques to entropy constraints Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2010.5548264 |
0.369 |
|
2010 |
Xiang G, Kreinovich V. Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem 2010 Ieee World Congress On Computational Intelligence, Wcci 2010. DOI: 10.1109/FUZZY.2010.5584150 |
0.413 |
|
2010 |
Kreinovich V, Xiang G. Estimating information amount under uncertainty: Algorithmic solvability and computational complexity International Journal of General Systems. 39: 349-378. DOI: 10.1080/03081071003696025 |
0.563 |
|
2008 |
Nguyen HT, Kreinovich V, Xiang G. Random fuzzy sets Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery. 18-44. DOI: 10.4018/978-1-59904-982-3.ch002 |
0.499 |
|
2008 |
Kreinovich V, Xiang G. Towards fast algorithms for processing type-2 fuzzy data: Extending Mendel's algorithms from interval-valued to a more general case Annual Conference of the North American Fuzzy Information Processing Society - Nafips. DOI: 10.1109/NAFIPS.2008.4531281 |
0.533 |
|
2008 |
Kreinovich V, Xiang G. Fast algorithms for computing statistics under interval uncertainty: An overview Advances in Soft Computing. 46: 19-31. DOI: 10.1007/978-3-540-77664-2_3 |
0.592 |
|
2007 |
Xiang G, Hall JW. Computing statistical characteristics when we know probabilities with interval or fuzzy uncertainty: Computational complexity Annual Conference of the North American Fuzzy Information Processing Society - Nafips. 576-581. DOI: 10.1109/NAFIPS.2007.383904 |
0.387 |
|
2007 |
Berleant D, Ceberio M, Xiang G, Kreinovich V. Towards adding probabilities and correlations to interval computations International Journal of Approximate Reasoning. 46: 499-510. DOI: 10.1016/J.Ijar.2007.01.002 |
0.536 |
|
2007 |
Kreinovich V, Longpré L, Starks SA, Xiang G, Beck J, Kandathi R, Nayak A, Ferson S, Hajagos J. Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases Journal of Computational and Applied Mathematics. 199: 418-423. DOI: 10.1016/J.Cam.2005.07.041 |
0.704 |
|
2007 |
Xiang G, Ceberio M, Kreinovich V. Computing population variance and entropy under interval uncertainty: Linear-time algorithms Reliable Computing. 13: 467-488. DOI: 10.1007/S11155-007-9045-6 |
0.555 |
|
2007 |
Xiang G, Kreinovich V. Estimating variance under interval and fuzzy uncertainty: Case of hierarchical estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4529: 3-12. |
0.468 |
|
2006 |
Ceberio M, Kreinovich V, Xiang G, Ferson S, Joslyn C. Adding constraints to situations when, in addition to intervals, we also have partial information about probabilities 12th Gamm - Imacs International Symposium On Scientific Computing, Computer Arithmetic and Validated Numerics, Scan 2006, Conference Post-Proceedings. DOI: 10.1109/Scan.2006.7 |
0.585 |
|
2006 |
Kosheleva O, Kreinovich V, Longpre L, Tschoshanov M, Xiang G. Towards Interval Techniques for Processing Educational Data Social Cognitive and Affective Neuroscience. 28-28. DOI: 10.1109/Scan.2006.46 |
0.491 |
|
2006 |
Kreinovich V, Starks SA, Araiza R, Xiang G, Velasco AA, Averill MG, Keller GR. Towards combining probabilistic, interval, fuzzy uncertainty, and constraints: An example using the inverse problem in geophysics 12th Gamm - Imacs International Symposium On Scientific Computing, Computer Arithmetic and Validated Numerics, Scan 2006, Conference Post-Proceedings. DOI: 10.1109/Scan.2006.45 |
0.699 |
|
2006 |
Kreinovich V, Xiang G, Ferson S. Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms International Journal of Approximate Reasoning. 42: 212-227. DOI: 10.1016/J.Ijar.2005.12.001 |
0.56 |
|
2006 |
Kreinovich V, Xiang G, Starks SA, Longpré L, Ceberio M, Araiza R, Beck J, Kandathi R, Nayak A, Torres R, Hajagos JG. Towards combining probabilistic and interval uncertainty in engineering calculations: Algorithms for computing statistics under interval uncertainty, and their computational complexity Reliable Computing. 12: 471-501. DOI: 10.1007/S11155-006-9015-4 |
0.705 |
|
2006 |
Dantsin E, Kreinovich V, Wolpert A, Xiang G. Population Variance under Interval Uncertainty: A New Algorithm Reliable Computing. 12: 273-280. DOI: 10.1007/S11155-006-9001-X |
0.525 |
|
2006 |
Kreinovich V, Modave F, Starks S, Xiang G. Towards real world applications: Interval-related talks at NAFIPS'05 Reliable Computing. 12: 73-77. DOI: 10.1007/S11155-006-2970-Y |
0.534 |
|
2006 |
Xiang G. Fast algorithm for computing the upper endpoint of sample variance for interval data: Case of sufficiently accurate measurements Reliable Computing. 12: 59-64. DOI: 10.1007/S11155-006-2965-8 |
0.441 |
|
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