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Najib Ben Aoun
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2020 – today
- 2024
- [j9]Ines Neji, Najib Ben Aoun, Noureddine Boujnah, Ridha Ejbali:
DenseViT-XGB: A hybrid approach for dates varieties identification. Neurocomputing 596: 127976 (2024) - [j8]Nesrine Chaibi, Najib Ben Aoun, Asma ElAdel, Mourad Zaied:
Image super resolution boosting using beta wavelet. Signal Image Video Process. 18(2): 1821-1831 (2024) - 2023
- [j7]Nhidi Wiem, Najib Ben Aoun, Ridha Ejbali:
Deep Learning-Based Parasitic Egg Identification From a Slender-Billed Gull's Nest. IEEE Access 11: 37194-37202 (2023) - [j6]Sadique Ahmad, Najib Ben Aoun, Gauhar Ali, Mohammed Ahmed El-Affendi, Muhammad Shahid Anwar:
Multi-Clustered Mathematical Model for Student Cognitive Skills Prediction Optimization. IEEE Access 11: 65371-65381 (2023) - [c6]Wiem Nhidi, Najib Ben Aoun, Ridha Ejbali:
Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation. ICCCI (CCIS Volume) 2023: 364-375
2010 – 2019
- 2019
- [j5]Sourour Brahimi, Najib Ben Aoun, Chokri Ben Amar:
Boosted Convolutional Neural Network for object recognition at large scale. Neurocomputing 330: 337-354 (2019) - [j4]Sourour Brahimi, Najib Ben Aoun, Alexandre Benoît, Patrick Lambert, Chokri Ben Amar:
Semantic segmentation using reinforced fully convolutional densenet with multiscale kernel. Multim. Tools Appl. 78(15): 22077-22098 (2019) - 2018
- [j3]Sourour Brahimi, Najib Ben Aoun, Chokri Ben Amar, Alexandre Benoît, Patrick Lambert:
Multiscale Fully Convolutional DenseNet for Semantic Segmentation. J. WSCG 26(2) (2018) - [c5]Sourour Brahimi, Najib Ben Aoun, Chokri Ben Amar:
Improved Very Deep Recurrent Convolutional Neural Network for Object Recognition. SMC 2018: 2497-2502 - 2016
- [c4]Sourour Brahimi, Najib Ben Aoun, Chokri Ben Amar:
Very deep recurrent convolutional neural network for object recognition. ICMV 2016: 1034107 - 2015
- [j2]Mahmoud Mejdoub, Najib Ben Aoun, Chokri Ben Amar:
Bag of frequent subgraphs approach for image classification. Intell. Data Anal. 19(1): 75-88 (2015) - 2014
- [j1]Najib Ben Aoun, Mahmoud Mejdoub, Chokri Ben Amar:
Graph-based approach for human action recognition using spatio-temporal features. J. Vis. Commun. Image Represent. 25(2): 329-338 (2014) - [c3]Najib Ben Aoun, Mahmoud Mejdoub, Chokri Ben Amar:
Bag of sub-graphs for video event recognition. ICASSP 2014: 1547-1551 - 2011
- [c2]Najib Ben Aoun, Haytham Elghazel, Mohand-Said Hacid, Chokri Ben Amar:
Graph Aggregation Based Image Modeling and Indexing for Video Annotation. CAIP (2) 2011: 324-331 - 2010
- [c1]Ali Wali, Najib Ben Aoun, Hichem Karray, Chokri Ben Amar, Adel M. Alimi:
A New System for Event Detection from Video Surveillance Sequences. ACIVS (2) 2010: 110-120
Coauthor Index
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