Publications

Export 37 results:
Filters: Keyword is Deep learning  [Clear All Filters]
2022
R. Zarnoufi et Abik, M., « Classical Machine Learning vs Deep Learning for Detecting Cyber-Violence in Social Media », Communications in Computer and Information Science, vol. 1577 CCIS, p. 223-235, 2022.
A. Porebski, Alimoussa, M., et Vandenbroucke, N., « Comparison of color imaging vs. hyperspectral imaging for texture classification », Pattern Recognition Letters, vol. 161, p. 115-121, 2022.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
J. Elhachmi, « Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio-based internet of things », IET Networks, vol. 11, p. 207-220, 2022.
A. Filali, Mlika, Z., Cherkaoui, S., et Kobbane, A., « Dynamic SDN-Based Radio Access Network Slicing With Deep Reinforcement Learning for URLLC and eMBB Services », IEEE Transactions on Network Science and Engineering, vol. 9, p. 2174-2187, 2022.
K. A. AlAfandy, Omara, H., El-Sayed, H. S., Baz, M., Lazaar, M., Faragallah, O. S., et M. Achhab, A., « Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM », Computers, Materials and Continua, vol. 72, p. 739-753, 2022.
O. Bourja, Maach, A., Zannouti, Z., Derrouz, H., Mekhzoum, H., Abdelali, H. A., Thami, R. O. H., et Bourzeix, F., « End-to-End Car Make and Model Classification using Compound Scaling and Transfer Learning », International Journal of Advanced Computer Science and Applications, vol. 13, p. 994-1001, 2022.
H. Derrouz, Cabri, A., H. Abdelali, A., R. Thami, O. Haj, Bourzeix, F., Rovetta, S., et Masulli, F., « End-to-end quantum-inspired method for vehicle classification based on video stream », Neural Computing and Applications, vol. 34, p. 5561-5576, 2022.
M. A. Ahajjam, D. Licea, B., Ghogho, M., et Kobbane, A., « Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting », Applied Energy, vol. 326, 2022.
N. Ounasser, Rhanoui, M., Mikram, M., et Asri, B. E., « Generative and Autoencoder Models for Large-Scale Mutivariate Unsupervised Anomaly Detection », Smart Innovation, Systems and Technologies, vol. 237, p. 45-58, 2022.
B. Sabiri, Asri, B., et Rhanoui, M., « Impact of Hyperparameters on the Generative Adversarial Networks Behavior », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2022, vol. 1, p. 428-438.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Lahmar, E. B., « KP-USE: An Unsupervised Approach for Key-Phrases Extraction from Documents », International Journal of Advanced Computer Science and Applications, vol. 13, p. 283-289, 2022.
B. Sabiri, Asri, B. E., et Rhanoui, M., « Mechanism of Overfitting Avoidance Techniques for Training Deep Neural Networks », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2022, vol. 1, p. 418-427.
H. Bouijij, Berqia, A., et Saliah-Hassan, H., « Phishing URL classification using Extra-Tree and DNN », in 10th International Symposium on Digital Forensics and Security, ISDFS 2022, 2022.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13376 LNCS, p. 3-18, 2022.
E. A. Kaid, Brazey, D., Barra, V., et Baina, K., « Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos », Sensors, vol. 22, 2022.
C. Lahmar et Idri, A., « On the value of deep learning for diagnosing diabetic retinopathy », Health and Technology, vol. 12, p. 89-105, 2022.
2021
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
A. Abouaomar, Mlika, Z., Filali, A., Cherkaoui, S., et Kobbane, A., « A deep reinforcement learning approach for service migration in MEC-enabled vehicular networks », in Proceedings - Conference on Local Computer Networks, LCN, 2021, vol. 2021-October, p. 273-280.
U. Bayram et Benhiba, L., « Determining a Person's Suicide Risk by Voting on the Short-Term History of Tweets for the CLPsych 2021 Shared Task », in Computational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021 - Proceedings of the 7th Workshop, in conjunction with NAACL 2021, 2021, p. 81-86.
E. T. Idrissi et Idri, A., « Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction », Communications in Computer and Information Science, vol. 1400 CCIS, p. 347-365, 2021.
A. E. Ouardi, Rhanoui, M., Benlarabi, A., et Asri, B. E., « Hybrid Prototypical Networks Augmented by a Non-linear Classifier », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2021, vol. 1, p. 790-794.
H. A. I. T. Abdelali, Derrouz, H., Zennayi, Y., Thami, R. O. H., et Bourzeix, F., « Multiple hypothesis detection and tracking using deep learning for video traffic surveillance », IEEE Access, vol. 9, p. 164282-164291, 2021.
Y. N. Malek, Najib, M., Bakhouya, M., et Essaaidi, M., « Multivariate deep learning approach for electric vehicle speed forecasting », Big Data Mining and Analytics, vol. 4, p. 56-64, 2021.

Pages

Partenaires

LIENS UTILES

Localisation

Lien Google Maps

Location map

Suivez-nous sur

         

    

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 / n.mhirich@um5s.net.ma

        CEDOC ST2I : 06 66 39 75 16

        Résidences : 06 61 82 89 77

Contacts

    

    Compteur de visiteurs:635,154
    Education - This is a contributing Drupal Theme
    Design by WeebPal.