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Vinesha Peiris
Vinesha Peiris
Verified email at curtin.edu.au
Title
Cited by
Cited by
Year
Generalised rational approximation and its application to improve deep learning classifiers
V Peiris, N Sharon, N Sukhorukova, J Ugon
Applied Mathematics and Computation 389, 125560, 2021
222021
Multivariate approximation by polynomial and generalized rational functions
R Díaz Millán, V Peiris, N Sukhorukova, J Ugon
Optimization 71 (4), 1171-1187, 2022
112022
Rational approximation and its application to improving deep learning classifiers
V Peiris, N Sharon, NSJ Ugon
arXiv preprint arXiv:2002.11330, 2020
52020
The extension of the linear inequality method for generalized rational Chebyshev approximation to approximation by general quasilinear functions
V Peiris, N Sukhorukova
Optimization 71 (4), 999-1019, 2022
42022
Rational and generalised rational Chebyshev approximation problems and their applications
V Peiris
Bulletin of the Australian Mathematical Society 107 (2), 349-350, 2023
22023
Rational activation functions in neural network with uniform norm based loss function and its application in classification
V Peiris
Comm. Optim. Theory 2022, 2022
22022
Flexible rational approximation and its application for matrix functions
N Sharon, V Peiris, N Sukhorukova, J Ugon
arXiv preprint arXiv:2108.09357, 2021
22021
Deep Learning with Nonsmooth Objectives
V Peiris, N Sukhorukova, V Roshchina
arXiv preprint arXiv:2107.08800, 2021
12021
Best free knot linear spline approximation and its application to neural networks
V Peiris, DK Pham, N Sukhorukova
arXiv preprint arXiv:2404.00008, 2024
2024
Fine-scale monitoring of insecticide resistance in Aedes aegypti (Diptera: Culicidae) from Sri Lanka and modeling the phenotypic resistance using rational …
BAN Mendis, V Peiris, WAK Harshani, HSD Fernando, B de Silva
Parasites & Vectors 17 (1), 18, 2024
2024
A comparison of rational and neural network based approximations
V Peiris, RD Millan, N Sukhorukova, J Ugon
arXiv preprint arXiv:2303.04436, 2023
2023
Rational activation functions in neural networks with uniform based loss functions and its application in classification
V Peiris
arXiv preprint arXiv:2111.02602, 2021
2021
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