Improving Naive Bayes Classifier Using Conditional Probabilities. - Sona Taheri; Musa Mammadov; Adil M. Bagirov (AusDM, 2011)

Learning the naive Bayes classifier with optimization models. - Sona Taheri; Musa A. Mammadov (Int. J. Appl. Math. Comput. Sci., 2013)

Attribute weighted Naive Bayes classifier using a local optimization. - Sona Taheri; John Yearwood; Musa A. Mammadov; Sattar Seifollahi (Neural Comput. Appl., 2014)

Structure learning of Bayesian Networks using global optimization with applications in data classification. - Sona Taheri; Musa A. Mammadov (Optim. Lett., 2015)

Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems. - Adil M. Bagirov; Sona Taheri; Julien Ugon (Pattern Recognit., 2016)

New diagonal bundle method for clustering problems in large data sets. - Napsu Karmitsa; Adil M. Bagirov; Sona Taheri (Eur. J. Oper. Res., 2017)

Clustering in large data sets with the limited memory bundle method. - Napsu Karmitsa; Adil M. Bagirov; Sona Taheri (Pattern Recognit., 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)

Multi-Source Cyber-Attacks Detection using Machine Learning. - Sona Taheri; Iqbal Gondal; Adil M. Bagirov; Greg Harkness; Simon Brown 003; CHihung Chi (ICIT, 2019)

Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors. - Napsu Karmitsa; Sona Taheri (Algorithms, 2020)

Community Detection in Social Networks Using Affinity Propagation with Adaptive Similarity Matrix. - Sona Taheri; Asgarali Bouyer (Big Data, 2020)

Clusterwise support vector linear regression. - Kaisa Joki; Adil M. Bagirov; Napsu Karmitsa; Marko M. Mäkelä; Sona Taheri (Eur. J. Oper. Res., 2020)

Cyberattack triage using incremental clustering for intrusion detection systems. - Sona Taheri; Adil M. Bagirov; Iqbal Gondal; Simon Brown 003 (Int. J. Inf. Sec., 2020)

An augmented subgradient method for minimizing nonsmooth DC functions. - Adil M. Bagirov; Najmeh Hoseini Monjezi; Sona Taheri (Comput. Optim. Appl., 2021)

Incremental DC optimization algorithm for large-scale clusterwise linear regression. - Adil M. Bagirov; Sona Taheri; Emre Çimen (J. Comput. Appl. Math., 2021)

Aggregate subgradient method for nonsmooth DC optimization. - Adil M. Bagirov; Sona Taheri; Kaisa Joki; Napsu Karmitsa; Marko M. Mäkelä (Optim. Lett., 2021)

Hospital Readmission Prediction Using Clinical Admission Notes. - Nischay Bikram Thapa; Sattar Seifollahi; Sona Taheri (ACSW, 2022)

Robust piecewise linear L1-regression via nonsmooth DC optimization. - Adil M. Bagirov; Sona Taheri; Napsu Karmitsa; Nargiz Sultanova; Soodabeh Asadi (Optim. Methods Softw., 2022)

Missing Value Imputation via Clusterwise Linear Regression. - Napsu Karmitsa; Sona Taheri; Adil M. Bagirov; Pauliina Mäkinen (IEEE Trans. Knowl. Data Eng., 2022)

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems. - Manlio Gaudioso; Sona Taheri; Adil M. Bagirov; Napsu Karmitsa (Algorithms, 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)

A novel optimization approach towards improving separability of clusters. - Adil M. Bagirov; Najmeh Hoseini Monjezi; Sona Taheri (Comput. Oper. Res., 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, 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., 2023)

Context Aware Cyberbullying Classification Using Network Science. - Grace Milverton; Arathi Arakala; Sona Taheri (ISCMI, 2024)

A Generative Frailty Index based Explainable Approach for Hospital Readmission Prediction. - Seyed Hossein Parizad; Sattar Seifollahi; Sona Taheri; Mali Abdollahian (ISCMI, 2024)

Semi-supervised clustering algorithm for data streams. - Yongjia Yuan; Sona Taheri; Adil M. Bagirov (ISCMI, 2024)

SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest. - Christoforus Yoga Haryanto; Minh Hieu Vu; Trung Duc Nguyen; Emily Lomempow; Yulia Nurliana; Sona Taheri (CoRR, 2024)

Robust clustering algorithm: The use of soft trimming approach. - Sona Taheri; Adil M. Bagirov; Nargiz Sultanova; Burak Ordin (Pattern Recognit. Lett., 2024)

A review of machine learning methods used for educational data. - Zara Ersozlu; Sona Taheri; Inge Koch (Educ. Inf. Technol., 2024)

ConASD: Contrastive Few Shot Learning for Detecting Autism Spectrum Disorder via Eye Tracking Scanpath. - Sharifah Mousli; Sona Taheri; Estrid He (Multim. Syst., 2025)