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Invariance properties of the multidimensional matching distance in Persistent Topology and Homology, and . CoRR, (2010)On the Construction of Group Equivariant Non-Expansive Operators via Permutants and Symmetric Functions., , and . Frontiers Artif. Intell., (2022)Comparison of persistent homologies for vector functions: From continuous to discrete and back., , , , and . Comput. Math. Appl., 66 (4): 560-573 (2013)Natural pseudo-distance and optimal matching between reduced size functions, , and . CoRR, (2008)GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection., , , , , , , and . CoRR, (2022)Describing shapes by geometrical-topological properties of real functions., , , , , , , and . ACM Comput. Surv., 40 (4): 12:1-12:87 (2008)New methods for reducing size graphs., and . Int. J. Comput. Math., 70 (3): 505-517 (1999)On the geometrical properties of the coherent matching distance in 2D persistent homology., , and . J. Appl. Comput. Topol., 3 (4): 381-422 (2019)On a New Method to Build Group Equivariant Operators by Means of Permutants., , and . CD-MAKE, volume 11015 of Lecture Notes in Computer Science, page 265-272. Springer, (2018)3D Shape Description and Matching Based on Properties of Real Functions., , , , , , , and . Eurographics (Tutorials), page 949-998. Eurographics Association, (2007)