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 (5), 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
AusDM, 63-68, 2011
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
Numerical Nonsmooth Optimization
AM Bagirov, M Gaudioso, N Karmitsa, MM Mäkelä, S Taheri
Springer International Publishing, 2020
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
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
Partitional Clustering via Nonsmooth Optimization
AM Bagirov, N Karmitsa, S Taheri
Clustering Via Optimization, 2020
Structure learning of Bayesian Networks using global optimization with applications in data classification
S Taheri, M Mammadov
Optimization Letters 9 (5), 931-948, 2015
Globally convergent algorithms for solving unconstrained optimization problems
S Taheri, M Mammadov, S Seifollahi
Optimization 64 (2), 249-263, 2015
Missing value imputation via clusterwise linear regression
N Karmitsa, S Taheri, A Bagirov, P Makinen
IEEE Transactions on Knowledge and Data Engineering, 2020
A difference of convex optimization algorithm for piecewise linear regression
A Bagirov, S Taheri, S Asadi
Journal of Industrial & Management Optimization 15 (2), 909, 2019
Aggregate subgradient method for nonsmooth DC optimization
AM Bagirov, S Taheri, K Joki, N Karmitsa, MM Mäkelä
Optimization Letters 15 (1), 83-96, 2021
A DC Optimization Algorithm for Clustering Problems with -norm
A Bagirov, S Taheri
Iranian Journal of Operations Research 8 (2), 2-24, 2017
Double bundle method for nonsmooth DC optimization
K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri
TUCS Technical Report, 2017
Cyberattack triage using incremental clustering for intrusion detection systems
S Taheri, AM Bagirov, I Gondal, S Brown
International Journal of Information Security 19 (5), 597-607, 2020
Metaheuristic clustering algorithms
A M Bagirov, N Karmitsa, S Taheri
Partitional Clustering via Nonsmooth Optimization, 165-183, 2020
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