Objects
Bagirov, Adil, Taheri, Sona, Cimen, Emre. Elsevier B.V.; 2021. Incremental DC optimization algorithm for large-scale clusterwise linear regression.
Taheri, Sona. University of Ballarat; 2012. Learning Bayesian networks based on optimization approaches.
Taheri, Sona, Yearwood, John, Mammadov, Musa, Seifollahi, Sattar. Attribute weighted Naive Bayes classifier using a local optimization. 2013.
Taheri, Sona, Mammadov, Musa, Bagirov, Adil. Ballarat, VIC Australian Computer Society, Inc.; 2010. Improving Naive Bayes classifier using conditional probabilities.
Mammadov, Musa, Taheri, Sona. Gold Coast American Institute of Physics; 2010. A globally optimization algorithm for systems of nonlinear equations.
Taheri, Sona, Mammadov, Musa. Venice, Italy Curran Associates, Inc; 2012. Structure learning of Bayesian networks using a new unrestricted dependency algorithm.
Mammadov, Musa, Taheri, Sona. Gold Coast American Institute of Physics; 2010. A globally optimization algorithm for systems of nonlinear equations.
Taheri, Sona, Mammadov, Musa. ; 2012. Solving systems of nonlinear equations using a globally convergent optimization algorithm.
Taheri, Sona, Mammadov, Musa. ; 2013. Learning the naive bayes classifier with optimization models.
Taheri, Sona, Mammadov, Musa, Seifollahi, Sattar. Globally convergent algorithms for solving unconstrained optimization problems. 2013.
Taheri, Sona, Mammadov, Musa. Vali-a-Asr University of Rasanjan Iran; 2011. Tree augmented naive bayes based on optimization.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
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.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier B.V.; 2017. New diagonal bundle method for clustering problems in large data sets.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Bagirov, Adil, Taheri, Sona, Ugon, Julien. Elsevier Ltd; 2016. Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.
Taheri, Sona, Mammadov, Musa. Springer Verlag; 2014. Structure learning of Bayesian Networks using global optimization with applications in data classification.
Bagirov, Adil, Taheri, Sona, Asadi, Soodabeh. American Institute of Mathematical Sciences; 2019. A difference of convex optimization algorithm for piecewise linear regression.
Bagirov, Adil, Taheri, Sona. Springer Berlin Heidelberg; 2017. DC programming algorithm for clusterwise linear L1 regression.
Bagirov, Adil, Taheri, Sona, Karmitsa, Napsu. Springer International Publishing; 2020. Discrete gradient methods.
Taheri, Sona, Bagirov, Adil, Gondal, Iqbal, Brown, Simon. Springer; 2020. Cyberattack triage using incremental clustering for intrusion detection systems.
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.
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.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Introduction.
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.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Final words.