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Efficient Multiple Kernel Classification Using Feature and Decision Level Fusion.

, , , , and . IEEE Trans. Fuzzy Syst., 25 (6): 1403-1416 (2017)

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Fusion of heterogeneous bands and kernels in hyperspectral image processing., , , and . CoRR, (2019)Comparing soft clusters and partitions., , , , and . FUZZ-IEEE, page 924-931. IEEE, (2011)Regularization-based learning of the Choquet integral., , and . FUZZ-IEEE, page 2519-2526. IEEE, (2014)Transfer Learning for the Choquet Integral., , , , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)Machine Learning of Choquet Integral Regression with Respect to a Bounded Capacity (or Non-monotonic Fuzzy Measure)., and . FUZZ-IEEE, page 1-6. IEEE, (2019)The fuzzy integral for missing data., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2017)Causal cueing system for above ground anomaly detection of explosive hazards using support vector machine localized by K-nearest neighbor., , , and . CISDA, page 1-8. IEEE, (2012)Constraints Preserving Genetic Algorithm for Learning Fuzzy Measures with an Application to Ontology Matching., , and . WCSC, volume 312 of Studies in Fuzziness and Soft Computing, page 93-103. Springer, (2013)Hybrid Measure of Agreement and Expertise for Ontology Matching in Lieu of a Reference Ontology., , and . Int. J. Intell. Syst., 31 (5): 502-525 (2016)Multi-criteria based learning of the Choquet integral using Goal programming., , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)