@article {Rguibi2022,
	title = {CXAI: Explaining Convolutional Neural Networks for Medical Imaging Diagnostic},
	journal = {Electronics (Switzerland)},
	volume = {11},
	number = {11},
	year = {2022},
	note = {cited By 0},
	abstract = {Deep learning models have been increasingly applied to medical images for tasks such as lesion detection, segmentation, and diagnosis. However, the field suffers from the lack of concrete definitions for usable explanations in different settings. To identify specific aspects of explainability that may catalyse building trust in deep learning models, we will use some techniques to demonstrate many aspects of explaining convolutional neural networks in a medical imaging context. One important factor influencing clinician{\textquoteright}s trust is how well a model can justify its predictions or outcomes. Clinicians need understandable explanations about why a machine-learned prediction was made so they can assess whether it is accurate and clinically useful. The provision of appropriate explanations has been generally understood to be critical for establishing trust in deep learning models. However, there lacks a clear understanding on what constitutes an explanation that is both understandable and useful across different domains such as medical image analysis, which hampers efforts towards developing explanatory tool sets specifically tailored towards these tasks. In this paper, we investigated two major directions for explaining convolutional neural networks: feature-based post hoc explanatory methods that try to explain already trained and fixed target models and preliminary analysis and choice of the model architecture with an accuracy of 98\% {\textpm} 0.156\% from 36 CNN architectures with different configurations. {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.},
	doi = {10.3390/electronics11111775},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131637625\&doi=10.3390\%2felectronics11111775\&partnerID=40\&md5=27f0c0e64e6e5a8788f4515f49d6ad01},
	author = {Rguibi, Z. and Hajami, A. and Zitouni, D. and Elqaraoui, A. and Bedraoui, A.}
}
@article {Amraoui20186945,
	title = {A Forwarding Game Approach for Reducing Topology Control Traffic in MANETs},
	journal = {Arabian Journal for Science and Engineering},
	volume = {43},
	number = {12},
	year = {2018},
	pages = {6945-6961},
	doi = {10.1007/s13369-017-2910-7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056214456\&doi=10.1007\%2fs13369-017-2910-7\&partnerID=40\&md5=1dfa43ead71bc316da85208bc3a3c893},
	author = {Amraoui, H. and Habbani, A. and Hajami, A.}
}
@conference {Amraoui20181,
	title = {Reducing network topology over smart digital mobile environment using linear programming approach},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	pages = {1-8},
	doi = {10.1145/3289100.3289101},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058617163\&doi=10.1145\%2f3289100.3289101\&partnerID=40\&md5=2611403282d988e759c8721f91c739e5},
	author = {Amraoui, H. and Habbani, A. and Hajami, A.}
}
@conference {Amraoui20181,
	title = {Security \& cooperation mechanisms over mobile ad hoc networks: A survey and challenges},
	booktitle = {Proceedings of 2017 International Conference on Electrical and Information Technologies, ICEIT 2017},
	volume = {2018-January},
	year = {2018},
	pages = {1-6},
	doi = {10.1109/EITech.2017.8255313},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047364198\&doi=10.1109\%2fEITech.2017.8255313\&partnerID=40\&md5=16f5590d7460c7a1606e951c65b604b4},
	author = {Amraoui, H. and Habbani, A. and Hajami, A. and Bilal, E.}
}
@conference {Amraoui2017278,
	title = {Mobility quantification for MultiPoint Relays selection algorithm in Mobile Ad hoc Networks},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {278-283},
	abstract = {In Mobile Ad hoc Networks (MANETs), with Optimized Link State Routing Protocol (OLSR) the mobility concept is an essential element which can result in the evolution of network performances. In this paper, the main objective is to develop an algorithm to improve the MultiPoint Relay (MPR) selection process in such networks. This algorithm is based on the Mobility Rate (MR) which in turn is relied on the relative velocity of nodes. Additionally, in this algorithm, each node keeps a mobility rate record of other nodes. Moreover, this mobility value will be exchanged between nodes using OLSR messages (HELLO and Topology control (TC)). Furthermore, this value will be used as a criterion when a node chooses their MPR set. In addition, the simulation results using Network Simulator 3 (NS3) have shown that the mobility concept could improve network performances in terms of the throughput, packet received, packet loss, packet delivery ratio and packet forwarded. Moreover, and through this paper the proposed algorithm can be used as a functional mobility mechanism to improve network performances in MANETs. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905672},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019077851\&doi=10.1109\%2fICMCS.2016.7905672\&partnerID=40\&md5=72838ebe1c1b4730920daf92d4fc133c},
	author = {Amraoui, H. and Habbani, A. and Hajami, A.}
}
@conference {Oudidi2010165,
	title = {QoS routing using OLSR protocol},
	booktitle = {International Conference on Communications - Proceedings},
	year = {2010},
	note = {cited By 1},
	pages = {165-171},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79958704229\&partnerID=40\&md5=b671b4b4cac801b42c9f9164a18f99ea},
	author = {Oudidi, K. and Hajami, A. and Koutbi, M.}
}
@conference {Dya2009889,
	title = {Comparative study of fractal technics for digital compressing images},
	booktitle = {Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009},
	volume = {2},
	year = {2009},
	note = {cited By 0},
	pages = {889-894},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864947398\&partnerID=40\&md5=55c98dc1493218a0d97c614b1f26e88e},
	author = {Dya, Z. and Badri, A. and Sahel, A. and Hajami, A.}
}
