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Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks.

, , , , , , , and . Eng. Appl. Artif. Intell., (2024)

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Some Construction Methods for Pseudo-Overlaps and Pseudo-Groupings and Their Application in Group Decision Making., , , , and . Axioms, 12 (6): 589 (June 2023)On k-Lipschitzian (T, N)-Implications., , , and . FUZZ-IEEE, page 1-6. IEEE, (2020)A Web-based Information System for the Management of ICU Beds During the Coronavirus Outbreak., , , , , and . ISCC, page 1-4. IEEE, (2020)Reduction of complexity using generators of pseudo-overlap and pseudo-grouping functions., , , , , , , and . Fuzzy Sets Syst., (2024)More Agile than ever: the case study of the development of a dashboard for the management of ICU beds during the coronavirus outbreak., , , , , and . CBMS, page 324-329. IEEE, (2021)Additively Generated (a,b)-Implication Functions*., , , , , , , , and . FUZZ, page 1-5. IEEE, (2023)The law x ≤ I(y; x) and the three main classes of fuzzy implications., , and . FUZZ-IEEE, page 1-5. IEEE, (2012)Fuzzy Implication Classes Satisfying a Boolean-Like Law., , and . AGOP, volume 228 of Advances in Intelligent Systems and Computing, page 429-440. Springer, (2013)Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks., , , , , , , and . Eng. Appl. Artif. Intell., (2024)