Sona Taheri
Cited by
Cited by
Learning the naive Bayes classifier with optimization models
S Taheri, M Mammadov
International Journal of Applied Mathematics and Computer Science 23 (4 …, 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
Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems
AM Bagirov, S Taheri, J Ugon
Pattern Recognition 53, 12-24, 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
Improving naive Bayes classifier using conditional probabilities
S Taheri, M Mammadov, AM Bagirov
Deakin University, 2010
Partitional clustering via nonsmooth optimization
AM Bagirov, N Karmitsa, S Taheri
Cham, Switzerland: Springer Nature, 2020
Clustering in large data sets with the limited memory bundle method
N Karmitsa, AM Bagirov, S Taheri
Pattern Recognition 83, 245-259, 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
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
Numerical nonsmooth optimization
AM Bagirov, M Gaudioso, N Karmitsa, MM Mäkelä, S Taheri
Springer International Publishing, 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
Structure learning of Bayesian Networks using global optimization with applications in data classification
S Taheri, M Mammadov
Optimization Letters 9, 931-948, 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
Globally convergent algorithms for solving unconstrained optimization problems
S Taheri, M Mammadov, S Seifollahi
Optimization 64 (2), 249-263, 2015
Aggregate subgradient method for nonsmooth DC optimization
AM Bagirov, S Taheri, K Joki, N Karmitsa, MM Mäkelä
Optimization Letters 15, 83-96, 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
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
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
A difference of convex optimization algorithm for piecewise linear regression.
A Bagirov, S Taheri, S Asadi
Journal of Industrial & Management Optimization 15 (2), 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
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Articles 1–20