| Learning the naive Bayes classifier with optimization models S Taheri, M Mammadov International Journal of Applied Mathematics and Computer Science 23 (4 …, 2013 | 190 | 2013 |
| Attribute weighted Naive Bayes classifier using a local optimization S Taheri, J Yearwood, M Mammadov, S Seifollahi Neural Computing and Applications 24, 995-1002, 2014 | 68 | 2014 |
| Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems AM Bagirov, S Taheri, J Ugon Pattern Recognition 53, 12-24, 2016 | 58 | 2016 |
| Double bundle method for finding Clarke stationary points in nonsmooth DC programming K Joki, AM Bagirov, N Karmitsa, MM Makela, S Taheri SIAM Journal on Optimization 28 (2), 1892-1919, 2018 | 52 | 2018 |
| Improving naive Bayes classifier using conditional probabilities S Taheri, M Mammadov, AM Bagirov Deakin University, 2010 | 37 | 2010 |
| Partitional clustering via nonsmooth optimization AM Bagirov, N Karmitsa, S Taheri Cham, Switzerland: Springer Nature, 2020 | 33 | 2020 |
| Clustering in large data sets with the limited memory bundle method N Karmitsa, AM Bagirov, S Taheri Pattern Recognition 83, 245-259, 2018 | 31 | 2018 |
| New diagonal bundle method for clustering problems in large data sets N Karmitsa, AM Bagirov, S Taheri European Journal of Operational Research 263 (2), 367-379, 2017 | 30 | 2017 |
| Missing value imputation via clusterwise linear regression N Karmitsa, S Taheri, A Bagirov, P Mäkinen IEEE Transactions on Knowledge and Data Engineering 34 (4), 1889-1901, 2020 | 26 | 2020 |
| Numerical nonsmooth optimization AM Bagirov, M Gaudioso, N Karmitsa, MM Mäkelä, S Taheri Springer International Publishing, 2020 | 26 | 2020 |
| Clusterwise support vector linear regression K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri European Journal of Operational Research 287 (1), 19-35, 2020 | 25 | 2020 |
| Structure learning of Bayesian Networks using global optimization with applications in data classification S Taheri, M Mammadov Optimization Letters 9, 931-948, 2015 | 14 | 2015 |
| Solving systems of nonlinear equations using a globally convergent optimization algorithm S Taheri, M Mammadov Global J. of Tech. and Optim 3, 132-138, 2012 | 14 | 2012 |
| Globally convergent algorithms for solving unconstrained optimization problems S Taheri, M Mammadov, S Seifollahi Optimization 64 (2), 249-263, 2015 | 12 | 2015 |
| Aggregate subgradient method for nonsmooth DC optimization AM Bagirov, S Taheri, K Joki, N Karmitsa, MM Mäkelä Optimization Letters 15, 83-96, 2021 | 9 | 2021 |
| Learning the naive Bayes classifier with optimization models. Centre for Informatics and Applied Optimization School of Science S Taheri, M Mammadov Information Technology and Engineering, University of Ballarat, Victoria 3353, 0 | 8 | |
| Short-notice flood evacuation plan under dynamic demand in high populated areas N Insani, D Akman, S Taheri, J Hearne International Journal of Disaster Risk Reduction 74, 102844, 2022 | 6 | 2022 |
| Metaheuristic clustering algorithms A M. Bagirov, N Karmitsa, S Taheri, A M. Bagirov, N Karmitsa, S Taheri Partitional Clustering via Nonsmooth Optimization: Clustering via …, 2020 | 6 | 2020 |
| A difference of convex optimization algorithm for piecewise linear regression. A Bagirov, S Taheri, S Asadi Journal of Industrial & Management Optimization 15 (2), 2019 | 6 | 2019 |
| Dc programming algorithm for clusterwise linear l 1 regression AM Bagirov, S Taheri Journal of the Operations Research Society of China 5 (2), 233-256, 2017 | 6 | 2017 |
Adil BagirovFederation University AustraliaVerified email at federation.edu.au
