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Visualization and learning of the Choquet integral with limited training data., , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (11): 4826-4838 (2021)Data-Driven Compression and Efficient Learning of the Choquet Integral., , , and . IEEE Trans. Fuzzy Syst., 26 (4): 1908-1922 (2018)Linear Order Statistic Neuron., , , , , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)CLODD based band group selection., , , and . IGARSS, page 36-39. IEEE, (2016)Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing., , , and . WHISPERS, page 1-5. IEEE, (2016)Explainable AI for the Choquet Integral., , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 5 (4): 520-529 (2021)Deep Morphological Hit-or-Miss Transform Neural Network., , , , , , and . CoRR, (2019)Possibilistic Clustering Enabled Neuro Fuzzy Logic., , , , , , , , , and 1 other author(s). FUZZ-IEEE, page 1-8. IEEE, (2020)Fusion of heterogeneous bands and kernels in hyperspectral image processing., , , and . CoRR, (2019)