| Year |
Citation |
Score |
| 2016 |
Ceberio M, Kreinovich V, Nguyen HT, Sriboonchitta S, Oncharoen R. What is the right context for an engineering problem: Finding such a context is NP-hard Proceedings - 2015 Ieee Symposium Series On Computational Intelligence, Ssci 2015. 1615-1620. DOI: 10.1109/SSCI.2015.227 |
0.306 |
|
| 2012 |
Villaverde K, Kosheleva O, Ceberio M. Computations under time constraints: Algorithms developed for fuzzy computations can help Journal of Uncertain Systems. 6: 138-145. DOI: 10.1109/NAFIPS.2011.5752030 |
0.315 |
|
| 2010 |
Ceberio M, Kreinovich V, Pownuk A, Bede B. From interval computations to constraint-related set computations: Towards faster estimation of statistics and ODEs under interval, p-box, and fuzzy uncertainty Novel Developments in Granular Computing: Applications For Advanced Human Reasoning and Soft Computation. 131-147. DOI: 10.4018/978-1-60566-324-1.ch006 |
0.314 |
|
| 2009 |
Magoč T, Modave F, Ceberio M, Kreinovich V. Computational methods for investment portfolio: The use of fuzzy measures and constraint programming for risk management Studies in Computational Intelligence. 202: 133-173. DOI: 10.1007/978-3-642-01533-5_6 |
0.311 |
|
| 2008 |
Pedamallu CS, Ozdamar L, Ceberio M. Efficient interval partitioning-Local search collaboration for constraint satisfaction Computers and Operations Research. 35: 1412-1435. DOI: 10.1016/J.Cor.2006.08.003 |
0.343 |
|
| 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 |
0.34 |
|
| 2007 |
Ceberio M, Kreinovich V, Chopra S, Longpré L, Nguyen HT, Ludäscher B, Baral C. Interval-type and affine arithmetic-type techniques for handling uncertainty in expert systems Journal of Computational and Applied Mathematics. 199: 403-410. DOI: 10.1016/J.Cam.2005.08.030 |
0.307 |
|
| 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 |
0.341 |
|
| 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 |
0.403 |
|
| 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 |
0.311 |
|
| 2006 |
Ceberio M, Hosobe H, Satoh K. Speculative constraint processing with iterative revision for disjunctive answers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3900: 340-357. DOI: 10.1007/11750734_19 |
0.336 |
|
| 2006 |
Ceberio M, Kreinovich V, Ginzburg L. On the use of intervals in scientific computing: What is the best transition from linear to quadratic approximation? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3732: 75-82. DOI: 10.1007/11558958_9 |
0.334 |
|
| 2005 |
Ceberio M, Kreinovich V, Rueher M. Reliable Computations and their Applications (RCA) track Reliable Computing. 11: 499-503. DOI: 10.1007/S11155-005-0408-6 |
0.372 |
|
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