| Compiling and using input–output frameworks through collaborative virtual laboratories M Lenzen, A Geschke, T Wiedmann, J Lane, N Anderson, T Baynes, ... Science of the Total Environment 485, 241-251, 2014 | 218 | 2014 |
| Fast modified global k-means algorithm for incremental cluster construction AM Bagirov, J Ugon, D Webb Pattern recognition 44 (4), 866-876, 2011 | 192 | 2011 |
| Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems AM Bagirov, S Taheri, J Ugon Pattern Recognition 53, 12-24, 2016 | 63 | 2016 |
| Coverage in WLAN with minimum number of access points S Kouhbor, J Ugon, A Rubinov, A Kruger, M Mammadov 2006 IEEE 63rd Vehicular Technology Conference 3, 1166-1170, 2006 | 56 | 2006 |
| Optimal placement of access point in WLAN based on a new algorithm S Kouhbor, J Ugon, A Kruger, A Rubinov International Conference on Mobile Business (ICMB'05), 592-598, 2005 | 56 | 2005 |
| Nonsmooth nonconvex optimization approach to clusterwise linear regression problems AM Bagirov, J Ugon, H Mirzayeva European Journal of Operational Research 229 (1), 132-142, 2013 | 46 | 2013 |
| Codifferential method for minimizing nonsmooth DC functions AM Bagirov, J Ugon Journal of Global Optimization 50, 3-22, 2011 | 42 | 2011 |
| An efficient algorithm for the incremental construction of a piecewise linear classifier AM Bagirov, J Ugon, D Webb Information Systems 36 (4), 782-790, 2011 | 37 | 2011 |
| Piecewise partially separable functions and a derivative-free algorithm for large scale nonsmooth optimization AM Bagirov, J Ugon Journal of Global Optimization 35, 163-195, 2006 | 37 | 2006 |
| An algorithm for minimizing clustering functions AM Bagirov, J Ugon Optimization 54 (4-5), 351-368, 2005 | 37 | 2005 |
| A novel piecewise linear classifier based on polyhedral conic and max–min separabilities AM Bagirov, J Ugon, D Webb, G Ozturk, R Kasimbeyli Top 21, 3-24, 2013 | 32 | 2013 |
| Implementation of novel methods of global and nonsmooth optimization: GANSO programming library G Beliakov, J Ugon Optimization 56 (5-6), 543-546, 2007 | 27 | 2007 |
| An algorithm for clusterwise linear regression based on smoothing techniques AM Bagirov, J Ugon, HG Mirzayeva Optimization letters 9, 375-390, 2015 | 26 | 2015 |
| Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms AM Bagirov, J Ugon Optimization methods and software 33 (1), 194-219, 2018 | 25 | 2018 |
| Patient admission prediction using a pruned fuzzy min–max neural network with rule extraction J Wang, CP Lim, D Creighton, A Khorsavi, S Nahavandi, J Ugon, ... Neural Computing and Applications 26, 277-289, 2015 | 25 | 2015 |
| Classes and clusters in data analysis AM Rubinov, NV Soukhoroukova, J Ugon European Journal of Operational Research 173 (3), 849-865, 2006 | 24 | 2006 |
| 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 | 23 | 2021 |
| Nonsmooth optimization algorithm for solving clusterwise linear regression problems AM Bagirov, J Ugon, HG Mirzayeva Journal of Optimization Theory and Applications 164, 755-780, 2015 | 23 | 2015 |
| A new algorithm for the placement of WLAN access points based on nonsmooth optimization technique S Kouhbor, J Ugon, A Kruger, A Rubinov, P Branch The 7th International Conference on Advanced Communication Technology, 2005 …, 2005 | 21 | 2005 |
| Supervised data classification via max-min separability AM Bagirov, J Ugon Continuous Optimization: Current Trends and Modern Applications, 175-207, 2005 | 21 | 2005 |
Adil BagirovFederation University AustraliaVerified email at federation.edu.au
