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Disambiguation of "Verbiest, Nele"

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Computing fuzzy rough approximations in large scale information systems.

, , , , , , , and . IEEE BigData, page 9-16. IEEE Computer Society, (2014)

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Frank Verbiest

Bergner von Nele Marisa

Nele Ondreka

Röntgenmerkmale des lumbosakralen Übergangs beim Deutschen Schäferhund im Vergleich zu anderen Rassen und Genetik dieser Merkmale beim Deutschen Schäferhund. Uni Gießen, (2009)

Nele Heppeler

Nele Tielemann

 

Other publications of authors with the same name

Valued Constraint Satisfaction Problems Applied to Functional Harmony., , and . IFSA/EUSFLAT Conf., page 925-930. (2009)Multi Threshold FRPS: A New Approach to Fuzzy Rough Set Prototype Selection.. RSCTC, volume 8536 of Lecture Notes in Computer Science, page 83-91. Springer, (2014)OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory., , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 180-190. Springer, (2013)A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis., , , and . Fuzzy Sets Syst., (2015)Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties., , , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 169-179. Springer, (2013)Evaluation of Classification Methods., , and . Data Classification: Algorithms and Applications, CRC Press, (2014)Improving the β-Precision and OWA Based Fuzzy Rough Set Models: Definitions, Properties and Robustness Analysis., and . RSCTC, volume 8536 of Lecture Notes in Computer Science, page 23-34. Springer, (2014)Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation., , , and . IEA/AIE (3), volume 6098 of Lecture Notes in Computer Science, page 450-459. Springer, (2010)SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation., , , , , and . TSD, volume 7499 of Lecture Notes in Computer Science, page 248-255. Springer, (2012)Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data., , , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 169-178. Springer, (2012)