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Abdul Wahab, O., Kara, N., Edstrom, C., & Lemieux, Y. (2019). MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions. Journal of Network and Computer Applications, 142, 37-50. Lien externe
Abijaude, J. W., Santiago, L., de Lima Sobreira, P., Abdul Wahab, O., & Greve, F. (juillet 2021). IoTCocoa - an IoT platform to assist gourmet cocoa production [Communication écrite]. IEEE Latin-American Conference on Communications (LATINCOM 2019), Shenzhen, China. Lien externe
Abusitta, A., Aïmeur, E., & Abdul Wahab, O. (août 2020). Generative adversarial networks for mitigating biases in machine learning systems [Communication écrite]. 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain. Publié dans Frontiers in artificial intelligence and applications. Lien externe
Hammoud, A., Otrok, H., Mourad, A., Abdul Wahab, O., & Bentahar, J. (2019). On the detection of passive malicious providers in cloud federations. IEEE Communications Letters, 23(1), 64-67. Lien externe
Rjoub, G., Bentahar, J., Abdul Wahab, O., & Bataineh, A. (août 2019). Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud [Communication écrite]. 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), Istanbul, Turkey. Lien externe
