Theo dõi
MUSTAPHA AMROUCH
MUSTAPHA AMROUCH
Professor, High Institute of Technology, Agadir
Email được xác minh tại uiz.ac.ma
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Object detection using deep learning, CNNs and vision transformers: A review
AB Amjoud, M Amrouch
IEEE Access 11, 35479-35516, 2023
1732023
Convolutional neural networks backbones for object detection
A Benali Amjoud, M Amrouch
Image and Signal Processing: 9th International Conference, ICISP 2020 …, 2020
872020
Recognition of cursive Arabic handwritten text using embedded training based on HMMs
R Mouhcine, A Mustapha, M Zouhir
Journal of Electrical Systems and Information Technology 5 (2), 245-251, 2018
512018
Convolutional feature learning and CNN based HMM for Arabic handwriting recognition
M Amrouch, M Rabi, Y Es-Saady
Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018
412018
Handwritten amazigh character recognition system based on continuous hmms and directional features
M Amrouch, Y Es-Saady, A Rachidi, M El Yassa, D Mammass
International Journal of Modern Engineering Research 2 (2), 436-441, 2012
352012
Handwritten amazigh character recognition based on hidden Markov models
M Amrouch, A Rachidi, M El Yassa, D Mammass
ICGST-GVIP Journal 10 (5), 11-18, 2010
342010
Recognition of cursive Arabic handwritten text using embedded training based on hidden Markov models
M Rabi, M Amrouch, Z Mahani
International journal of pattern recognition and Artificial Intelligence 32 …, 2018
302018
Printed amazigh character recognition by a hybrid approach based on Hidden Markov Models and the Hough transform
M Amrouch, A Rachidi, M El Yassa, D Mammass
2009 International Conference on Multimedia Computing and Systems, 356-360, 2009
282009
Automatic generation of chest x-ray reports using a transformer-based deep learning model
AB Amjoud, M Amrouch
2021 Fifth International Conference On Intelligent Computing in Data …, 2021
232021
Cursive Arabic handwriting recognition system without explicit segmentation based on hidden Markov models
M Rabi, M Amrouch, Z Mahani
Journal of Data Mining & Digital Humanities, 2018
212018
Deep neural networks features for Arabic handwriting recognition
M Amrouch, M Rabi
Advanced Information Technology, Services and Systems: Proceedings of the …, 2017
172017
Handwritten Tifinagh Character Recognition Using Baselines Detection Features
Y Es-Saady, M Amrouch, A Rachidi, M El Yassa, D Mammass
International Journal of Scientific & Engineering Research 5 (4), 2014
142014
A novel feature set for recognition of printed amazigh text using maximum deviation and hmm
M Amrouch, Y Es-Saady, A Rachidi, M El-Yassa, D Mammass
Int. J. Comput. Appl 44 (12), 23-30, 2012
132012
Transfer learning for automatic image orientation detection using deep learning and logistic regression
AB Amjoud, M Amrouch
IEEE Access 10, 128543-128553, 2022
122022
Off-line arabic handwritten characters recognition based on a hidden markov models
M Amrouch, M Elyassa, A Rachidi, D Mammass
Image and Signal Processing: 3rd International Conference, ICISP 2008 …, 2008
122008
Reconnaissance de caractères imprimés et manuscrits, textes et documents basée sur les modèles de Markov cachés
M Amrouch
Université Ibnou Zohr, Faculté des Sciences, Agadir, 2012
92012
A New Approach Based On Strokes for Printed Tifinagh Characters Recognition Using the Discriminating Path-HMM
M Amrouch, Y Es-Saady, A Rachidi, M El Yassa, D Mammass
International Review on Computers and Software 7 (2), 2012
92012
Strong consistency estimators of the Brennan-Schwartz diffusion process based on martingales approach
YE Ansari, T Chaayra, FE Bouanani, L Omari, M Amrouch
STAT 11 (1), 2022
82022
Hybrid HMM/MLP models for recognizing unconstrained cursive Arabic handwritten text
M Rabi, M Amrouch, Z Mahani
Advanced Information Technology, Services and Systems: Proceedings of the …, 2017
72017
A Survey of Contextual Handwritten Recognition Systems based HMMs for Cursive Arabic and Latin Script
ZM Mouhcine Rabi, Mustapha Amrouch
International Journal of Computer Applications 60 (2), 31-37, 2017
5*2017
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