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ORCIDImen Charfi
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- affiliation: University of Burgundy, Dijon, France
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2020 – today
- 2022
[j5]Wadhah Ayadi
, Imen Charfi, Wajdi Elhamzi, Mohamed Atri:
Brain tumor classification based on hybrid approach. Vis. Comput. 38(1): 107-117 (2022)- 2021
- [j4]Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, Mohamed Atri:
Deep CNN for Brain Tumor Classification. Neural Process. Lett. 53(1): 671-700 (2021)
2010 – 2019
- 2019
- [j3]Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, Mohamed Atri:
A hybrid feature extraction approach for brain MRI classification based on Bag-of-words. Biomed. Signal Process. Control. 48: 144-152 (2019) - 2016
- [j2]Benaoumeur Senouci, Imen Charfi, Barthélémy Heyrman, Julien Dubois, Johel Mitéran:
Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study. J. Real Time Image Process. 12(4): 649-662 (2016) - 2013
- [b1]Imen Charfi:
Détection automatique de chutes de personnes basée sur des descripteurs spatio-temporels : définition de la méthode, évaluation des performances et implantation temps-réel. (Automatic human fall detection based on spatio-temporal descriptors : definition of the method, evaluation of the performance and real-time implementation). University of Burgundy, Dijon, France, 2013 - [j1]Imen Charfi, Johel Mitéran, Julien Dubois, Mohamed Atri, Rached Tourki:
Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification. J. Electronic Imaging 22(4): 041106 (2013) - 2012
- [c1]Imen Charfi, Johel Mitéran, Julien Dubois, Mohamed Atri, Rached Tourki:
Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution. SITIS 2012: 218-224
Coauthor Index
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