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I. Kadi et Idri, A., « A decision tree-based approach for cardiovascular dysautonomias diagnosis: A case study », in Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 2015, p. 816-823.
I. Kadi et Idri, A., « A decision tree-based approach for cardiovascular dysautonomias diagnosis », in 2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, p. 816-823.
S. Lhazmir, Oualhaj, O. Ait, Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, p. 102102, 2020.
S. Lhazmir, Oualhaj, O. A., Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, 2020.
E. M. Haloui et Kriouile, A., « A decision-support model enabling a proactive vision of Cloud Computing adoption », in Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016, 2017, p. 192-198.
S. Nouh, Chana, I., et Belkasmi, M., « Decoding of block codes by using genetic algorithms and permutations set », International Journal of Communication Networks and Information Security, vol. 5, p. 201-209, 2013.
H. Berbia, Belkasmi, M., Elbouanani, F., et Ayoub, F., « On the decoding of convolutional codes using genetic algorithms », in Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development, 2008, p. 667-671.
Y. Laghouaouta, Anwar, A., Nassar, M., et Coulette, B., « A dedicated approach for model composition traceability », Information and Software Technology, vol. 91, p. 142-159, 2017.
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. Oussidi et Elhassouny, A., « Deep generative models: Survey », in 2018 International Conference on Intelligent Systems and Computer Vision, ISCV 2018, 2018, vol. 2018-May, p. 1-8.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 446-455, 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.
K. A. Al Afandy, Omara, H., Lazaar, M., et M. Achhab, A., Deep learning. 2022, p. 127-166.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
I. Elaalyani et Erradi, M., « Deep Neural Networks for Medical Images », in Networked Systems, NETYS 2016, 2016, vol. 9944, p. 382.
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.
Y. Fenjiro et Benbrahim, H., « Deep reinforcement learning overview of the state of the art », Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 12, p. 20-39, 2018.
E. O. Alaoui, Zerouaoui, H., et Idri, A., « Deep Stacked Ensemble for Breast Cancer Diagnosis », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 435-445, 2022.
Ya Saissi, Zellou, Aab, et Idri, Aac, « Deep web integration: The tip of the iceberg », International Review on Computers and Software, vol. 10, p. 1044-1053, 2015.
Z. Lakhili, A. Alami, E., Mesbah, A., Berrahou, A., et Qjidaa, H., « Deformable 3D Shape Classification Using 3D Racah Moments and Deep Neural Networks », in Procedia Computer Science, 2019, vol. 148, p. 12-20.
Ba Aylaj, Belkasmi, Mb, Zouaki, Ha, et Berkani, Ab, « Degeneration simulated annealing algorithm for combinatorial optimization problems », in International Conference on Intelligent Systems Design and Applications, ISDA, 2016, vol. 2016-June, p. 557-562.
K. Mrabet, F. Bouanani, E., et Ben-Azza, H., « Dependable Decentralized Reputation Management System for Vehicular Ad Hoc Networks », in Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, 2021.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « On the deployment quality for multi-intrusion detection in wireless sensor networks », Lecture Notes in Electrical Engineering, vol. 381, p. 469-478, 2016.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « On the Deployment Quality for Multi-intrusion Detection in Wireless Sensor Networks », in PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015 (MEDCT 2015), VOL 2, 2016, vol. 381, p. 469-478.

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