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Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methodsInternational Journal for Numerical Methods in Biomedical Engineering, 34 (8):
e3095 (2018)Sparse approximation of regularized kernel interpolation by greedy algorithms(2019)Greedy kernel methods for accelerating implicit integrators for parametric ODEsNumerical Mathematics and Advanced Applications - ENUMATH 2017, 126, Cham, Springer, (2018)Convergence rate of the data-independent P-greedy algorithm in kernel-based approximationDolomites Research Notes on Approximation. Special Issues, (2017)Partition of unity interpolation using stable kernel-based techniquesNew Trends in Numerical Analysis: Theory, Methods, Algorithms and Applications (NETNA 2015), 116, page 95-107. Amsterdam, Elsevier, (2017)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenarioComputational Geosciences, 23 (2):
339--354 (Apr 1, 2019)Greedy regularized kernel interpolationarXiv preprint arXiv:1807.09575, (2018)Approximating basins of attraction for dynamical systems via stable radial basesInternational Conference on Numerical Analysis and Applied Mathematics 2015 (ICNAAM 2015), 1738, 1, page 390003. Melville, NY, AIP Publishing, (2016)Approximation in kernel-based spaces, optimal subspaces and approximationof eigenfunctionUniversity of Padova, Padua, Dissertation, (2016)Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques.CoRR, (2018)