A generalization of the Remez algorithm to a class of linear spline approximation problems with constraints on spline parameters. - Nadezda Sukhorukova (Optim. Methods Softw., 2008)

Workload coverage through nonsmooth optimization. - Nadezda Sukhorukova; Julien Ugon; John Yearwood (Optim. Methods Softw., 2009)

Uniform Approximation by the Highest Defect Continuous Polynomial Splines: Necessary and Sufficient Optimality Conditions and Their Generalisations. - Nadezda Sukhorukova (J. Optim. Theory Appl., 2010)

K-Complex Detection Using a Hybrid-Synergic Machine Learning Method. - Huy Quan Vu; Gang Li 009; Nadezda Sukhorukova; Gleb Beliakov; Shaowu Liu; Carole Philippe; Hélène Amiel; Adrien Ugon (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Convex optimisation-based methods for K-complex detection. - Z. Roshan Zamir; Nadezda Sukhorukova; Hélène Amiel; Adrien Ugon; Carole Philippe (Appl. Math. Comput., 2015)

Linear least squares problems involving fixed knots polynomial splines and their singularity study. - Z. Roshan Zamir; Nadezda Sukhorukova (Appl. Math. Comput., 2016)

Chebyshev Approximation by Linear Combinations of Fixed Knot Polynomial Splines with Weighting Functions. - Nadezda Sukhorukova; Julien Ugon (J. Optim. Theory Appl., 2016)

Characterization Theorem for Best Polynomial Spline Approximation with Free Knots, Variable Degree and Fixed Tails. - Jean-Pierre Crouzeix; Nadezda Sukhorukova; Julien Ugon (J. Optim. Theory Appl., 2017)

Two curve Chebyshev approximation and its application to signal clustering. - Nadezda Sukhorukova (Appl. Math. Comput., 2019)

An algorithm for best generalised rational approximation of continuous functions. - R. Díaz Millán; Nadezda Sukhorukova; Julien Ugon (CoRR, 2020)

Generalised rational approximation and its application to improve deep learning classifiers. - Vinesha Peiris; Nir Sharon; Nadezda Sukhorukova; Julien Ugon (Appl. Math. Comput., 2021)

Deep Learning with Nonsmooth Objectives. - Vinesha Peiris; Nadezda Sukhorukova; Vera Roshchina (CoRR, 2021)

Flexible rational approximation for matrix functions. - Elior Kalfon; Vinesha Peiris; Nir Sharon; Nadia Sukhorukova; Julien Ugon (CoRR, 2021)

A generalisation of de la Vallée-Poussin procedure to multivariate approximations. - Nadezda Sukhorukova; Julien Ugon (Adv. Comput. Math., 2022)

A comparison of rational and neural network based approximations. - Vinesha Peiris; Reinier Díaz Millán; Nadezda Sukhorukova; Julien Ugon (CoRR, 2023)

Uniqueness of solutions in multivariate Chebyshev approximation problems. - Vera Roshchina; Nadezda Sukhorukova; Julien Ugon (Optim. Lett., 2024)

Artificial neural networks with uniform norm-based loss functions. - Vinesha Peiris; Vera Roshchina; Nadezda Sukhorukova (Adv. Comput. Math., 2024)

Variational Properties of the Abstract Subdifferential Operator. - Reinier Díaz Millán; Nadezda Sukhorukova; Julien Ugon (J. Optim. Theory Appl., 2025)