Caractérisation et intégration des signaux musculaires pour le pilotage d'un exosquelette des membres inférieurs lors d' activités locomotrices. (Characterisation and integration of muscle signals for lower limb exoskeleton control during locomotor activities). - Jinan Charafeddine (2021)

Semi-supervised Classification through Data and Label Graph Fusion. - Fadi Dornaika; Abdullah Baradaaji; Jinan Charafeddine (ICCA, 2023)

LightCert4IoTs: Blockchain-Based Lightweight Certificates Authentication for IoT Applications. - Abba Garba; David J. Khoury; Patrick Balian; Samir Haddad; Jinane Sayah; Zhong Chen 001; Zhi Guan; Hani Hamdan; Jinan Charafeddine; Khalid Al Mutib (IEEE Access, 2023)

Security-Reliability Tradeoff Analysis for Multiuser FSO Communications Over a Generalized Channel. - Wafaa Mohammed Ridha Shakir; Jinan Charafeddine; Hani Hamdan; Israa Ali Alshabeeb; Nidaa Ghalib Ali; Israa E. Abed (IEEE Access, 2023)

Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. - Fadi Dornaika; D. Sun; Karim Hammoudi; Jinan Charafeddine; Adnane Cabani; Chongsheng Zhang (Pattern Recognit., 2023)

Neuro-Motor Index for Upper Limb Exoskeleton Control: A Machine Learning Approach. - Jinan Charafeddine; Taha Houda; Swaminath Venkateswaran; Yasin Y. Dhaher (ICCA, 2024)

Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture. - Saeed Al Gharib; Jinan Charafeddine; Samir Haddad; Fadi Dornaika (ICCA, 2024)

Flexible Granular Deep Learning Voting Architecture. - Chadi Kallab; Samir Haddad; Jinan Charafeddine; Joseph Merhej; Nisrine Turkey; Jinane Sayah (ICCA, 2024)

Data Augmentation Techniques for Medical Image Segmentation - A Review. - Naney Kozah; Fadi Dornaika; Jinan Charafeddine; Jihad El Jaam (ICCA, 2024)

Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering. - Fadi Dornaika; Sally El Hajjar; Jinan Charafeddine (Eng. Appl. Artif. Intell., 2024)

LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation. - D. Sun; Fadi Dornaika; Jinan Charafeddine (Inf. Fusion, 2024)

Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification. - Pendar Alirezazadeh; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2024)

ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments. - Jinan Charafeddine; Wafaa M. R. Shakir; Hani Hamdan (CCNC, 2025)

Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability. - Bouchra Tartoussi; Najah Tartoussi; Baraa Altayebrrafei; Jinan Charafeddine; Wafaa M. R. Shakir; Nancy Chendeb (MENACOMM, 2025)

Hybrid Learning Framework for Explainable Cardiovascular Disease Detection. - Saeed Al Gharib; Jinan Charafeddine; Fadi Dornaika; Samir Haddad (IEEE Access, 2025)

CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning. - Guowen Peng; Fadi Dornaika; Jinan Charafeddine (Expert Syst. Appl., 2025)

Towards dynamic self-training for scalable semi-supervised learning on graphs. - Fadi Dornaika; Zoulfikar Ibrahim; Jinan Charafeddine; Alireza Bosaghzadeh (Neurocomputing, 2025)

Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning. - Huaiyuan Xiao; Fadi Dornaika; Jinan Charafeddine; Jingjun Bi (Inf. Fusion, 2025)

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks. - Fadi Dornaika; Jingjun Bi; Jinan Charafeddine; H. Xiao (Neural Networks, 2025)

Empowering MIMO-FSO Systems: RIS Technology for Enhanced Performance in Challenging Conditions. - Wafaa Mohammed Ridha Shakir; Jinan Charafeddine (IEEE Open J. Commun. Soc., 2025)

Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph. - Fadi Dornaika; Sally El Hajjar; Jinan Charafeddine; Nagore Barrena (Cogn. Comput., 2025)

A Comprehensive Review of Cutting-Edge Disaster Response: UAVs Equipped with FSO-Based Communications. - Zaid Jabbar Al-Allaq; Wafaa M. R. Shakir; Jinan Charafeddine (Wirel. Pers. Commun., 2025)

Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data. - Fadi Dornaika; Jingjun Bi; Jinan Charafeddine (Cogn. Comput., 2025)

One-phase multi-view clustering with unified graph and data representation convolution. - Fadi Dornaika; Jinan Charafeddine (Soft Comput., 2025)

Correction: One-phasemulti-view clustering with unified graph and data representation convolution. - Fadi Dornaika; Jinan Charafeddine (Soft Comput., 2025)

Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification. - Fadi Dornaika; B. Wang; Jinan Charafeddine (Cogn. Comput., 2025)

Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion. - Guowen Peng; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2025)

Linear projection fused graph-based semi-supervised learning on multi-view data. - Jingjun Bi; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2025)