Jinan Charafeddine

According to our database, Jinan Charafeddine authored at least 28 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Linear projection fused graph-based semi-supervised learning on multi-view data.

Jingjun Bi, Fadi Dornaika, Jinan Charafeddine

Artif. Intell. Rev., October, 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., September, 2025

Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification.

Fadi Dornaika, B. Wang, Jinan Charafeddine

Cogn. Comput., June, 2025

Correction: One-phasemulti-view clustering with unified graph and data representation convolution.

Fadi Dornaika, Jinan Charafeddine

Soft Comput., May, 2025

One-phase multi-view clustering with unified graph and data representation convolution.

Fadi Dornaika, Jinan Charafeddine

Soft Comput., May, 2025

Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data.

Fadi Dornaika, Jingjun Bi, Jinan Charafeddine

Cogn. Comput., April, 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., March, 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., February, 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

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

Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning.

Huaiyuan Xiao, Fadi Dornaika, Jinan Charafeddine, Jingjun Bi

Inf. Fusion, 2025

Towards dynamic self-training for scalable semi-supervised learning on graphs.

Fadi Dornaika, Zoulfikar Ibrahim, Jinan Charafeddine, Alireza Bosaghzadeh

Neurocomputing, 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

Hybrid Learning Framework for Explainable Cardiovascular Disease Detection.

Saeed Al Gharib, Jinan Charafeddine, Fadi Dornaika, Samir Haddad

IEEE Access, 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

Proceedings of the 5th IEEE Middle East and North Africa Communications Conference, 2025

ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments.

Jinan Charafeddine, Wafaa M. R. Shakir, Hani Hamdan

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification.

Pendar Alirezazadeh, Fadi Dornaika, Jinan Charafeddine

Artif. Intell. Rev., December, 2024

LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation.

D. Sun, Fadi Dornaika, Jinan Charafeddine

Inf. Fusion, 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

Data Augmentation Techniques for Medical Image Segmentation - A Review.

Naney Kozah, Fadi Dornaika, Jinan Charafeddine, Jihad El Jaam

Proceedings of the International Conference on Computer and Applications, 2024

Flexible Granular Deep Learning Voting Architecture.

Chadi Kallab, Samir Haddad, Jinan Charafeddine, Joseph Merhej, Nisrine Turkey, Jinane Sayah

Proceedings of the International Conference on Computer and Applications, 2024

Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture.

Saeed Al Gharib, Jinan Charafeddine, Samir Haddad, Fadi Dornaika

Proceedings of the International Conference on Computer and Applications, 2024

Neuro-Motor Index for Upper Limb Exoskeleton Control: A Machine Learning Approach.

Jinan Charafeddine, Taha Houda, Swaminath Venkateswaran, Yasin Y. Dhaher

Proceedings of the International Conference on Computer and Applications, 2024

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., July, 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

LightCert4IoTs: Blockchain-Based Lightweight Certificates Authentication for IoT Applications.

Abba Garba, David J. Khoury, Patrick Balian, Samir Haddad, Jinane Sayah, Zhong Chen, Zhi Guan, Hani Hamdan, Jinan Charafeddine, Khalid Al Mutib

IEEE Access, 2023

Semi-supervised Classification through Data and Label Graph Fusion.

Fadi Dornaika, Abdullah Baradaaji, Jinan Charafeddine

Proceedings of the International Conference on Computer and Applications, 2023

2021

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

PhD thesis, 2021