Objects
Taheri, Sona, Mammadov, Musa. ; 2013. Learning the naive bayes classifier with optimization models.
Taheri, Sona, Mammadov, Musa. Vali-a-Asr University of Rasanjan Iran; 2011. Tree augmented naive bayes based on optimization.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier B.V.; 2017. New diagonal bundle method for clustering problems in large data sets.
Taheri, Sona, Mammadov, Musa, Seifollahi, Sattar. Globally convergent algorithms for solving unconstrained optimization problems. 2013.
Bagirov, Adil, Taheri, Sona. Springer Berlin Heidelberg; 2017. DC programming algorithm for clusterwise linear L1 regression.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
Taheri, Sona, Bagirov, Adil, Gondal, Iqbal, Brown, Simon. Springer; 2020. Cyberattack triage using incremental clustering for intrusion detection systems.
Taheri, Sona, Mammadov, Musa. ; 2012. Solving systems of nonlinear equations using a globally convergent optimization algorithm.
Taheri, Sona, Mammadov, Musa. Springer Verlag; 2014. Structure learning of Bayesian Networks using global optimization with applications in data classification.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Final words.
Taheri, Sona, Mammadov, Musa, Bagirov, Adil. Ballarat, VIC Australian Computer Society, Inc.; 2010. Improving Naive Bayes classifier using conditional probabilities.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Makela, Marko, Taheri, Sona. Society for Industrial and Applied Mathematics Publications; 2018. Double bundle method for finding clarke stationary points in nonsmooth dc programming.
Mammadov, Musa, Taheri, Sona. Gold Coast American Institute of Physics; 2010. A globally optimization algorithm for systems of nonlinear equations.
Bagirov, Adil, Taheri, Sona, Asadi, Soodabeh. American Institute of Mathematical Sciences; 2019. A difference of convex optimization algorithm for piecewise linear regression.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Taheri, Sona, Mammadov, Musa. Venice, Italy Curran Associates, Inc; 2012. Structure learning of Bayesian networks using a new unrestricted dependency algorithm.
Taheri, Sona, Gondal, Iqbal, Bagirov, Adil, Harkness, Greg, Brown, Simon, Chi, Chihung. Institute of Electrical and Electronics Engineers Inc.; 2019. Multi-source cyber-attacks detection using machine learning.
Mammadov, Musa, Taheri, Sona. Gold Coast American Institute of Physics; 2010. A globally optimization algorithm for systems of nonlinear equations.
Bagirov, Adil, Taheri, Sona, Ugon, Julien. Elsevier Ltd; 2016. Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.
Taheri, Sona. University of Ballarat; 2012. Learning Bayesian networks based on optimization approaches.
Bagirov, Adil, Taheri, Sona, Karmitsa, Napsu. Springer International Publishing; 2020. Discrete gradient methods.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Introduction.
Bagirov, Adil, Taheri, Sona, Bai, Fusheng, Wu, Zhiyou. Springer; 2019. An approximate ADMM for solving linearly constrained nonsmooth optimization problems with two blocks of variables.
Karmitsa, Napsu, Taheri, Sona, Bagirov, Adil, Makinen, Pauliina. ; 2020. Missing value imputation via clusterwise linear regression.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Elsevier B.V.; 2020. Clusterwise support vector linear regression.
Taheri, Sona, Yearwood, John, Mammadov, Musa, Seifollahi, Sattar. Attribute weighted Naive Bayes classifier using a local optimization. 2013.