Unsupervised and supervised data classification via nonsmooth and global optimization AM Bagirov, AM Rubinov, NV Soukhoroukova, J Yearwood Top 11 (1), 1-75, 2003 | 138 | 2003 |

Classes and clusters in data analysis AM Rubinov, NV Soukhorokova, J Ugon European Journal of Operational Research 173 (3), 849-865, 2006 | 23 | 2006 |

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 | 19 | 2012 |

DETECTING *K*-COMPLEXES FOR SLEEP STAGE IDENTIFICATION USING NONSMOOTH OPTIMIZATIOND Moloney, N Sukhorukova, P Vamplew, J Ugon, G Li, G Beliakov, ... The ANZIAM Journal 52 (4), 319-332, 2011 | 15 | 2011 |

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 | 14 | 2017 |

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 | 14 | 2010 |

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 | 11 | 2015 |

Optimization-based features extraction for K-complex detection ZR Zamir, N Sukhorukova, H Amiel, A Ugon, C Philippe Anziam Journal 55, C384-C398, 2013 | 10 | 2013 |

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 | 9 | 2010 |

Characterization theorem for best linear spline approximation with free knots N Sukhorukova, J Ugon Dyn. Contin. Discrete Impuls. Syst 17 (5), 687-708, 2010 | 8 | 2010 |

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 | 7 | 2021 |

Vallée Poussin theorem and Remez algorithm in the case of generalised degree polynomial spline approximation N Sukhorukova Pacific Journal of Optimization 6 (2), 103-114, 2010 | 7 | 2010 |

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 | 7 | 2005 |

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 | 7 | 2003 |

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 | 5 | 2016 |

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 28 (1), 123-147, 2020 | 4 | 2020 |

How to engage students in blended learning in a mathematics course: The students’ views B Loch La Trobe, 2018 | 4 | 2018 |

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 | 4 | 2017 |

Workload coverage through nonsmooth optimization N Sukhorukova, J Ugon, J Yearwood Optimization Methods & Software 24 (2), 285-298, 2009 | 4 | 2009 |

Nonsmooth Optimization approach to Data Classification AM Bagirov, NV Soukhoroukova Proceedings of the Post-graduate ADFA Conference on Computer Science …, 2001 | 4 | 2001 |