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Jamal Riffi
Jamal Riffi
LISAC,Department of Computer Science, Faculty of Science Dhar El Mahraz
Verified email at usmba.ac.ma
Title
Cited by
Cited by
Year
Hybrid recommender system for tourism based on big data and AI: A conceptual framework
K Al Fararni, F Nafis, B Aghoutane, A Yahyaouy, J Riffi, A Sabri
Big Data Mining and Analytics 4 (1), 47-55, 2021
1152021
A robust system for road sign detection and classification using LeNet architecture based on convolutional neural network
A Bouti, MA Mahraz, J Riffi, H Tairi
Soft Computing 24 (9), 6721-6733, 2020
742020
Multiple face detection based on machine learning
H Filali, J Riffi, AM Mahraz, H Tairi
2018 International Conference on Intelligent Systems and Computer Vision …, 2018
502018
PV-DAE: A hybrid model for deceptive opinion spam based on neural network architectures
A Fahfouh, J Riffi, MA Mahraz, A Yahyaouy, H Tairi
Expert Systems with Applications 157, 113517, 2020
362020
Brain tumor segmentation based on deep learning’s feature representation
I Aboussaleh, J Riffi, AM Mahraz, H Tairi
Journal of Imaging 7 (12), 269, 2021
302021
Diabetic retinopathy prediction based on deep learning and deformable registration
M Oulhadj, J Riffi, K Chaimae, AM Mahraz, B Ahmed, A Yahyaouy, ...
Multimedia Tools and Applications 81 (20), 28709-28727, 2022
292022
Hand gesture recognition based on convexity approach and background subtraction
SC Mesbahi, MA Mahraz, J Riffi, H Tairi
2018 International Conference on Intelligent Systems and Computer Vision …, 2018
292018
Medical image registration based on fast and adaptive bidimensional empirical mode decomposition
J Riffi, A Mohamed Mahraz, H Tairi
IET Image Processing 7 (6), 567-574, 2013
292013
Credit card fraud detection based on multilayer perceptron and extreme learning machine architectures
J Riffi, MA Mahraz, A El Yahyaouy, H Tairi
2020 International Conference on Intelligent Systems and Computer Vision …, 2020
282020
3D extension of the fast and adaptive bidimensional empirical mode decomposition
J Riffi, AM Mahraz, A Abbad, H Tairi
Multidimensional Systems and Signal Processing 26, 823-834, 2015
242015
An image registration algorithm based on phase correlation and the classical Lucas–Kanade technique
Y Douini, J Riffi, AM Mahraz, H Tairi
Signal, Image and Video Processing 11, 1321-1328, 2017
222017
Motion estimation using the fast and adaptive bidimensional empirical mode decomposition
MA Mahraz, J Riffi, H Tairi
Journal of Real-Time Image Processing 9 (3), 491-501, 2014
222014
Brain tumor segmentation based on deep learning
H Cherguif, J Riffi, MA Mahraz, A Yahyaouy, H Tairi
2019 International Conference on Intelligent Systems and Advanced Computing …, 2019
192019
Vehicle counting system in real-time
S Bouaich, MA Mahraz, J Riffı, H Tairi
2018 International conference on intelligent systems and computer vision …, 2018
182018
A block-based background model for moving object detection
O Elharrouss, A Abbad, D Moujahid, J Riffi, H Tairi
ELCVIA: electronic letters on computer vision and image analysis 15 (3), 0017-31, 2016
182016
Efficient U-Net architecture with multiple encoders and attention mechanism decoders for brain tumor segmentation
I Aboussaleh, J Riffi, KE Fazazy, MA Mahraz, H Tairi
Diagnostics 13 (5), 872, 2023
172023
Solving sub-pixel image registration problems using phase correlation and Lucas-Kanade optical flow method
Y Douini, J Riffi, MA Mahraz, H Tairi
2017 Intelligent systems and computer vision (ISCV), 1-5, 2017
162017
Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network
D El Alaoui, J Riffi, A Sabri, B Aghoutane, A Yahyaouy, H Tairi
Neural Computing and Applications 34 (14), 11679-11690, 2022
152022
Comparative study on approaches of recommendation systems
K Al Fararni, B Aghoutane, J Riffi, A Sabri, A Yahyaouy
Embedded Systems and Artificial Intelligence: Proceedings of ESAI 2019, Fez …, 2020
132020
A review on relationship between Iot–cloud computing–fog computing (Applications And Challenges)
M El Idrissi, O Elbeqqali, J RIFfi
2019 third international conference on intelligent computing in data …, 2019
122019
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