Mohammed Brahimi
Mohammed Brahimi
The National Higher School of Artificial Intelligence (ENSIA)
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Cited by
Cited by
Deep learning for tomato diseases: classification and symptoms visualization
M Brahimi, K Boukhalfa, A Moussaoui
Applied Artificial Intelligence 31 (4), 299-315, 2017
Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation
M Brahimi, M Arsenovic, S Laraba, S Sladojevic, K Boukhalfa, ...
Human and Machine Learning, 93-117, 2018
3D skeleton‐based action recognition by representing motion capture sequences as 2D‐RGB images
S Laraba, M Brahimi, J Tilmanne, T Dutoit
Computer Animation and Virtual Worlds 28 (3-4), e1782, 2017
An improved sine cosine algorithm to select features for text categorization
M Belazzoug, M Touahria, F Nouioua, M Brahimi
Journal of King Saud University-Computer and Information Sciences 32 (4 …, 2020
Deep interpretable architecture for plant diseases classification
M Brahimi, S Mahmoudi, K Boukhalfa, A Moussaoui
2019 signal processing: Algorithms, architectures, arrangements, and …, 2019
Quantitative structure activity relationship for the computational prediction of α-glucosidase inhibitory
K Kraim, D Khatmi, Y Saihi, F Ferkous, M Brahimi
Chemometrics and Intelligent Laboratory Systems 97 (2), 118-126, 2009
Location embedding and deep convolutional neural networks for next location prediction
A Sassi, M Brahimi, W Bechkit, A Bachir
2019 IEEE 44th LCN symposium on emerging topics in networking (LCN symposium …, 2019
Human and machine learning
M Brahimi, M Arsenovic, S Laraba, S Sladojevic, K Boukhalfa, ...
2018 Deep learning for plant diseases Detection and saliency map …, 2018
Mobile robot path planning for complex dynamic environments
ML Tazir, O Azouaoui, M Hazerchi, M Brahimi
2015 International Conference on Advanced Robotics (ICAR), 200-206, 2015
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning
I Nedjar, M Brahimi, S Mahmoudi, KA Ayad, MA Chikh
arXiv preprint arXiv:2305.20058, 2023
Machine learning for malware detection using api calls
M Brahimi, A Moussaoui
Troisième conference internationale sur la vision artificielle 3, 2015
Virtual screening, XGBoost based QSAR modelling, Molecular Docking and Molecular Dynamics Simulation approach to discover a new inhibitor targeting ErbB1 Protein
F Bouchama, K Kraim, M Brahimi, Y Saihi, K Mezghiche, AK Nacereddine, ...
A nonlinear QSAR Study Using Oscillating Search and SVM as an Efficient Algorithm to Model the Inhibition of Reverse Transcriptase by HEPT Derivatives.
A Allali, F Ferkous, K Kraim, Y Saihi, M Brahimi, F Zaiz, O Attoui-Yahia
Journal of the Chemical Society of Pakistan 40 (1), 2018
Détection des virus informatiques par les techniques de datamining.
M Brahimi
Université Mohamed Khider Biskra, 2014
Système évolutif de classification pour la détection des programmes malveillants
M Brahimi, A Moussaoui
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