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2020 – today
- 2024
[c7]Dorsaf Hrizi, Khaoula Tbarki, Sadok Elasmi:
An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms. AINA (5) 2024: 46-56- 2023
- [c6]Dorsaf Hrizi, Khaoula Tbarki, Sadok Elasmi:
Lung cancer detection and classification using CNN and image segmentation. ComNet 2023: 1-10 - [c5]Dorsaf Hrizi, Khaoula Tbarki, Monia Attia, Sadok Elasmi:
Lung cancer detection and nodule type classification using image processing and machine learning. IWCMC 2023: 1154-1159 - 2020
- [j1]Arbia Soula, Khaoula Tbarki
, Riadh Ksantini, Salma Ben Said, Zied Lachiri:
A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection. Eng. Appl. Artif. Intell. 89: 103468 (2020)
2010 – 2019
- 2017
- [c4]Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri:
Landmine detection improvement using one-class SVM for unbalanced data. ATSIP 2017: 1-6 - [c3]Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri:
One-class SVM for landmine detection and discrimination. ICCAD 2017: 309-313 - 2016
- [c2]Khaoula Tbarki, Salma Ben Said, Nourredine Ellouze:
Non-linear filtering for landmine detection on ground penetration radar data. ATSIP 2016: 200-205 - [c1]Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri:
RBF kernel based SVM classification for landmine detection and discrimination. IPAS 2016: 1-6
Coauthor Index
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