Sona Taheri

According to our database, Sona Taheri authored at least 24 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering.

Adil M. Bagirov, Sona Taheri, Fusheng Bai, Fangying Zheng

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison.

Qiang Long, Adil M. Bagirov, Sona Taheri, Nargiz Sultanova, Xue Wu

ACM Trans. Knowl. Discov. Data, April, 2023

A novel optimization approach towards improving separability of clusters.

Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri

Comput. Oper. Res., April, 2023

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression.

Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov, Marko M. Mäkelä

Algorithms, 2023

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems.

Manlio Gaudioso, Sona Taheri, Adil M. Bagirov, Napsu Karmitsa

Algorithms, 2023

2022

Missing Value Imputation via Clusterwise Linear Regression.

Napsu Karmitsa, Sona Taheri, Adil M. Bagirov, Pauliina Mäkinen

IEEE Trans. Knowl. Data Eng., 2022

Robust piecewise linear <i>L</i>₁-regression via nonsmooth DC optimization.

Adil M. Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, Soodabeh Asadi

Optim. Methods Softw., 2022

Hospital Readmission Prediction Using Clinical Admission Notes.

Nischay Bikram Thapa, Sattar Seifollahi, Sona Taheri

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021

Aggregate subgradient method for nonsmooth DC optimization.

Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä

Optim. Lett., 2021

Incremental DC optimization algorithm for large-scale clusterwise linear regression.

Adil M. Bagirov, Sona Taheri, Emre Çimen

J. Comput. Appl. Math., 2021

An augmented subgradient method for minimizing nonsmooth DC functions.

Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri

Comput. Optim. Appl., 2021

2020

Cyberattack triage using incremental clustering for intrusion detection systems.

Sona Taheri, Adil M. Bagirov, Iqbal Gondal, Simon Brown

Int. J. Inf. Sec., 2020

Clusterwise support vector linear regression.

Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri

Eur. J. Oper. Res., 2020

Community Detection in Social Networks Using Affinity Propagation with Adaptive Similarity Matrix.

Sona Taheri, Asgarali Bouyer

Big Data, 2020

Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors.

Napsu Karmitsa, Sona Taheri

Algorithms, 2020

2019

Multi-Source Cyber-Attacks Detection using Machine Learning.

Sona Taheri, Iqbal Gondal, Adil M. Bagirov, Greg Harkness, Simon Brown, CHihung Chi

Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018

Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming.

Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri

SIAM J. Optim., 2018

Clustering in large data sets with the limited memory bundle method.

Napsu Karmitsa, Adil M. Bagirov, Sona Taheri

Pattern Recognit., 2018

2017

New diagonal bundle method for clustering problems in large data sets.

Napsu Karmitsa, Adil M. Bagirov, Sona Taheri

Eur. J. Oper. Res., 2017

2016

Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.

Adil M. Bagirov, Sona Taheri, Julien Ugon

Pattern Recognit., 2016

2015

Structure learning of Bayesian Networks using global optimization with applications in data classification.

Sona Taheri, Musa A. Mammadov

Optim. Lett., 2015

2014

Attribute weighted Naive Bayes classifier using a local optimization.

Sona Taheri, John Yearwood, Musa A. Mammadov, Sattar Seifollahi

Neural Comput. Appl., 2014

2013

Learning the naive Bayes classifier with optimization models.

Sona Taheri, Musa A. Mammadov

Int. J. Appl. Math. Comput. Sci., 2013

2011

Improving Naive Bayes Classifier Using Conditional Probabilities.

Sona Taheri, Musa Mammadov, Adil M. Bagirov

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011