Nadezda Sukhorukova
Nadezda Sukhorukova
E-mail confirmado em swin.edu.au
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Citado por
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Ano
Unsupervised and supervised data classification via nonsmooth and global optimization
AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood
Top 11 (1), 1-75, 2003
1312003
Classes and clusters in data analysis
AM Rubinov, NV Soukhorokova, J Ugon
European Journal of Operational Research 173 (3), 849-865, 2006
202006
K-complex detection using a hybrid-synergic machine learning method
HQ Vu, G Li, NS Sukhorukova, G Beliakov, S Liu, C Philippe, H Amiel, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012
172012
Automatic sleep stage identification: difficulties and possible solutions
N Sukhorukova, A Stranieri, B Ofoghi, P Vamplew, M Saleem, L Ma, ...
Proceedings of the Fourth Australasian Workshop on Health Informatics and …, 2010
132010
DETECTING K-COMPLEXES FOR SLEEP STAGE IDENTIFICATION USING NONSMOOTH OPTIMIZATION
D Moloney, N Sukhorukova, P Vamplew, J Ugon, G Li, G Beliakov, ...
The ANZIAM Journal 52 (4), 319-332, 2011
122011
Characterisation theorem for best polynomial spline approximation with free knots
N Sukhorukova, J Ugon
Transactions of the American Mathematical Society 369 (9), 6389-6405, 2017
112017
Convex optimisation-based methods for k-complex detection
ZR Zamir, N Sukhorukova, H Amiel, A Ugon, C Philippe
Applied Mathematics and Computation 268, 947-956, 2015
112015
Optimization-based features extraction for k-complex detection
ZR Zamir, N Sukhorukova, H Amiel, A Ugon, C Philippe
Anziam Journal 55, C384-C398, 2013
82013
Uniform approximation by the highest defect continuous polynomial splines: necessary and sufficient optimality conditions and their generalisations
N Sukhorukova
Journal of optimization theory and applications 147 (2), 378-394, 2010
82010
Characterization theorem for best linear spline approximation with free knots
N Sukhorukova, J Ugon
Dyn. Contin. Discrete Impuls. Syst 17 (5), 687-708, 2010
72010
Vallée Poussin theorem and Remez algorithm in the case of generalised degree polynomial spline approximation
N Sukhorukova
Pac. J. Optim. 6 (1), 103-114, 2010
72010
Minimization of the sum of minima of convex functions and its application to clustering
A Rubinov, N Soukhoroukova, J Ugon
Continuous Optimization, 409-434, 2005
72005
An algorithm for clustering based on non‐smooth optimization techniques
AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood
International Transactions in Operational Research 10 (6), 611-617, 2003
72003
Linear least squares problems involving fixed knots polynomial splines and their singularity study
ZR Zamir, N Sukhorukova
Applied Mathematics and Computation 282, 204-215, 2016
52016
Workload coverage through nonsmooth optimization
N Sukhorukova, J Ugon, J Yearwood
Optimization Methods & Software 24 (2), 285-298, 2009
42009
Nonsmooth Optimization approach to Data Classification
AM Bagirov, NV Soukhoroukova
Proceedings of the Post-graduate ADFA Conference on Computer Science …, 2001
42001
Finite Alternation Theorems and a Constructive Approach to Piecewise Polynomial Approximation in Chebyshev Norm
JP Crouzeix, N Sukhorukova, J Ugon
Set-Valued and Variational Analysis, 1-25, 2020
32020
Characterization theorem for best polynomial spline approximation with free knots, variable degree and fixed tails
JP Crouzeix, N Sukhorukova, J Ugon
Journal of optimization theory and applications 172 (3), 950-964, 2017
32017
Chebyshev approximation by linear combinations of fixed knot polynomial splines with weighting functions
N Sukhorukova, J Ugon
Journal of optimization theory and applications 171 (2), 536-549, 2016
32016
How to engage students in blended learning in a mathematics course: The students’ views
B Loch
La Trobe, 2018
22018
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Artigos 1–20