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Sona Taheri
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2020 – today
- 2024
- [j22]Sona Taheri, Adil M. Bagirov, Nargiz Sultanova, Burak Ordin:
Robust clustering algorithm: The use of soft trimming approach. Pattern Recognit. Lett. 185: 15-22 (2024) - [i1]Christoforus Yoga Haryanto, Minh Hieu Vu, Trung Duc Nguyen, Emily Lomempow, Yulia Nurliana, Sona Taheri:
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest. CoRR abs/2407.01110 (2024) - 2023
- [j21]Manlio Gaudioso, Sona Taheri, Adil M. Bagirov, Napsu Karmitsa:
Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems. Algorithms 16(8): 394 (2023) - [j20]Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov, Marko M. Mäkelä:
Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression. Algorithms 16(9): 444 (2023) - [j19]Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri:
A novel optimization approach towards improving separability of clusters. Comput. Oper. Res. 152: 106135 (2023) - [j18]Qiang Long, Adil M. Bagirov, Sona Taheri, Nargiz Sultanova, Xue Wu:
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison. ACM Trans. Knowl. Discov. Data 17(3): 36:1-36:54 (2023) - [j17]Adil M. Bagirov, Sona Taheri, Fusheng Bai, Fangying Zheng:
Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5517-5530 (2023) - 2022
- [j16]Adil M. Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, Soodabeh Asadi:
Robust piecewise linear L1-regression via nonsmooth DC optimization. Optim. Methods Softw. 37(4): 1289-1309 (2022) - [j15]Napsu Karmitsa, Sona Taheri, Adil M. Bagirov, Pauliina Mäkinen:
Missing Value Imputation via Clusterwise Linear Regression. IEEE Trans. Knowl. Data Eng. 34(4): 1889-1901 (2022) - [c3]Nischay Bikram Thapa, Sattar Seifollahi, Sona Taheri:
Hospital Readmission Prediction Using Clinical Admission Notes. ACSW 2022: 193-199 - 2021
- [j14]Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri:
An augmented subgradient method for minimizing nonsmooth DC functions. Comput. Optim. Appl. 80(2): 411-438 (2021) - [j13]Adil M. Bagirov, Sona Taheri, Emre Çimen:
Incremental DC optimization algorithm for large-scale clusterwise linear regression. J. Comput. Appl. Math. 389: 113323 (2021) - [j12]Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä:
Aggregate subgradient method for nonsmooth DC optimization. Optim. Lett. 15(1): 83-96 (2021) - 2020
- [j11]Napsu Karmitsa, Sona Taheri:
Special Issue "Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov": Foreword by Guest Editors. Algorithms 13(11): 282 (2020) - [j10]Sona Taheri, Asgarali Bouyer:
Community Detection in Social Networks Using Affinity Propagation with Adaptive Similarity Matrix. Big Data 8(3): 189-202 (2020) - [j9]Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri:
Clusterwise support vector linear regression. Eur. J. Oper. Res. 287(1): 19-35 (2020) - [j8]Sona Taheri, Adil M. Bagirov, Iqbal Gondal, Simon Brown:
Cyberattack triage using incremental clustering for intrusion detection systems. Int. J. Inf. Sec. 19(5): 597-607 (2020)
2010 – 2019
- 2019
- [c2]Sona Taheri, Iqbal Gondal, Adil M. Bagirov, Greg Harkness, Simon Brown, CHihung Chi:
Multi-Source Cyber-Attacks Detection using Machine Learning. ICIT 2019: 1167-1172 - 2018
- [j7]Napsu Karmitsa, Adil M. Bagirov, Sona Taheri:
Clustering in large data sets with the limited memory bundle method. Pattern Recognit. 83: 245-259 (2018) - [j6]Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri:
Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming. SIAM J. Optim. 28(2): 1892-1919 (2018) - 2017
- [j5]Napsu Karmitsa, Adil M. Bagirov, Sona Taheri:
New diagonal bundle method for clustering problems in large data sets. Eur. J. Oper. Res. 263(2): 367-379 (2017) - 2016
- [j4]Adil M. Bagirov, Sona Taheri, Julien Ugon:
Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems. Pattern Recognit. 53: 12-24 (2016) - 2015
- [j3]Sona Taheri, Musa A. Mammadov:
Structure learning of Bayesian Networks using global optimization with applications in data classification. Optim. Lett. 9(5): 931-948 (2015) - 2014
- [j2]Sona Taheri, John Yearwood, Musa A. Mammadov, Sattar Seifollahi:
Attribute weighted Naive Bayes classifier using a local optimization. Neural Comput. Appl. 24(5): 995-1002 (2014) - 2013
- [j1]Sona Taheri, Musa A. Mammadov:
Learning the naive Bayes classifier with optimization models. Int. J. Appl. Math. Comput. Sci. 23(4): 787-795 (2013) - 2011
- [c1]Sona Taheri, Musa Mammadov, Adil M. Bagirov:
Improving Naive Bayes Classifier Using Conditional Probabilities. AusDM 2011: 63-68
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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