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Coupled isogeometric Finite Element Method and Hierarchical Genetic Strategy with balanced accuracy for solving optimization inverse problem., , , , and . ICCS, volume 108 of Procedia Computer Science, page 828-837. Elsevier, (2017)Winograd Convolution for DNNs: Beyond linear polinomials., and . CoRR, (2019)Handling Ambiguous Inverse Problems by the Adaptive Genetic Strategy hp-HGS., , and . ICCS (2), volume 5545 of Lecture Notes in Computer Science, page 904-913. Springer, (2009)Winograd Convolution for DNNs: Beyond Linear Polynomials., and . AI*IA, volume 11946 of Lecture Notes in Computer Science, page 307-320. Springer, (2019)Solving inverse problems by the multi-deme hierarchic genetic strategy., , and . IEEE Congress on Evolutionary Computation, page 3157-3163. IEEE, (2009)Improving accuracy of Winograd convolution for DNNs., , and . CoRR, (2018)Efficient Adaptive Strategy for Solving Inverse Problems., , and . International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 342-349. Springer, (2007)Winograd Convolution for Deep Neural Networks: Efficient Point Selection., , , and . ACM Trans. Embed. Comput. Syst., 21 (6): 80:1-80:28 (November 2022)Asymptotic Behavior of hp-HGS (hp-Adaptive Finite Element Method Coupled with the Hierarchic Genetic Strategy) by Solving Inverse Problems., and . ICCS (3), volume 5103 of Lecture Notes in Computer Science, page 682-691. Springer, (2008)A hybrid algorithm for solving inverse problems in elasticity., , , , , and . Int. J. Appl. Math. Comput. Sci., 24 (4): 865-886 (2014)