Wissem Inoubli - Associate professor
Kontaktdaten
Forschungsachsen
- Data
Publications
International journals
2025 Data Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo, Navigating Complexity: A Comprehensive Review of Heterogeneous Information Networks and Embedding Techniques in Knowledge and Information Systems (KAIS),vol. 67, n° 6, pp. 4703-4736, 2025.
2024 Dorssaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi, Knowledge graph representation learning: a comprehensive and experimental overview in Computer Science Review,vol. 56, 2024.
2024 Data Marwa Badrouni, Chaker Katar, Wissem Inoubli, Large-scale knowledge graph representation learning in Knowledge and Information Systems (KAIS),vol. 66, pp. 5479 - 5499, 2024.
2023 Seyed Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli, Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking in IEEE Access,vol. 11, pp. 140428 - 140442, 2023.
International conferences
2025 Data Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo, WeightedHGE: Weighted Heterogeneous Graph Embedding in 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems,2025.
2025 Dorsaf Sellami, Wissem Inoubli, Imed Farah, Sabeur Aridhi, SA-KGP: A Semantic-Aware Partitioning Method for Scalable Knowledge Graph Embedding in 5th Workshop on Knowledge Graphs and Big Data (KGBigData 2025), co-located with IEEE International Conference on Big Data (IEEE Big Data 2025),2025.
2025 Data Chayma Khmeri, Wissem Inoubli, Mohamed Farah, Deep Contrastive Graph Learning Framework for Hyperspectral Image Classification in 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems,2025.
2024 Rania Abidi, Wissem Inoubli, Mouhamed Ghaith Ayadi, Incorporating Multi-Scale Temporal Dynamics into Graph-Based Recommender Systems in The International Conference on Complex Networks and their Applications,2024.
2024 Wissem Inoubli, Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV in La conférence Extraction et Gestion des Connaissances,2024.