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2020 – today
- 2024
[j3]Rawdha Karmi, Ines Rahmany, Nawres Khlifa:
Gaze estimation using convolutional neural networks. Signal Image Video Process. 18(1): 389-398 (2024)- 2023
- [c8]Ines Rahmany
, Rihab Saidi, Tarek Moulahi, Mutiq Almutiq:
Reliable Framework for Digital Forensics in Medical Internet of Things. ICCCI (CCIS Volume) 2023: 470-480 - 2022
- [j2]Ines Rahmany, Sami Mahfoudhi, Mushira Freihat, Tarek Moulahi:
Missing Data Recovery in the E-health Context Based on Machine Learning Models. Adv. Artif. Intell. Mach. Learn. 2(4): 516-532 (2022) - [c7]Khouloud Mnassri, Ines Rahmany, Nawres Khlifa, Sihem Hmissa, Nabiha Missaoui:
Prediction of microsatellite instability for the detection of colorectal cancer by GAN-CNN. CoDIT 2022: 740-745 - [c6]Ines Rahmany, Najwa Dhahri, Tarek Moulahi, Abdulatif Alabdulatif:
Optimized Stacked Auto-Encoder for Unnecessary Data Reduction in Cloud of Things. IWCMC 2022: 110-115 - [c5]Ibtissem Brahmi, Monia Hamdi, Ines Rahmany, Faouzi Zarai:
Deep Reinforcement Learning for Downlink Resource Allocation in Vehicular Small Cell Networks. NCA 2022: 107-114 - 2021
- [c4]Ines Rahmany, Hadhami Mnassri, Tarek Moulahi, Salim El Khediri:
Grey Wolf Optimizer Enhanced SVM for IoT Fault Detection. IWCMC 2021: 1483-1488
2010 – 2019
- 2019
- [j1]Ines Rahmany, Mohamed El Arbi Nemmala, Nawres Khlifa, Houda Megdiche:
Automatic detection of intracranial aneurysm using LBP and Fourier descriptor in angiographic images. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1353-1364 (2019) - 2018
- [c3]Ines Rahmany, Becem Arfaoui, Nawres Khlifa, Houda Megdiche:
Cerebral Aneurysm Computer-Aided Detection System by combing MSER, SURF and SIFT descriptors. CoDIT 2018: 1122-1127 - [c2]Ines Rahmany, Ramzi Guetari, Nawres Khlifa:
A Fully Automatic based Deep Learning Approach for Aneurysm Detection in DSA Images. IPAS 2018: 303-307 - 2014
- [c1]Ines Rahmany, Nawres Khlifa:
Detection of intracranial aneurysm in angiographic images using fuzzy approaches. IPAS 2014: 1-6
Coauthor Index
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