Wissem Inoubli

23 papers B 5C 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 B conf
Deep Contrastive Graph Learning Framework for Hyperspectral Image Classification.
KES
Chaima Khemiri, Wissem Inoubli, Mohamed Farah
2025 J jnl
Knowledge graph representation learning: A comprehensive and experimental overview.
Comput. Sci. Rev.
Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi
2025 J jnl
Navigating complexity: a comprehensive review of heterogeneous information networks and embedding techniques.
Knowl. Inf. Syst.
Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo
2025 B conf
SA-KGP: A Semantic-Aware Partitioning Method for Scalable Knowledge Graph Embedding.
IEEE Big Data
Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi
2025 B conf
WeightedHGE: Weighted Heterogeneous Graph Embedding.
KES
Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo
2024 J jnl
Large-scale knowledge graph representation learning.
Knowl. Inf. Syst.
Marwa Badrouni, Chaker Katar, Wissem Inoubli
2024 C conf
Leveraging Large Language Models (LLMs) to Match Job Offers with Candidate CVs.
MEDES
Rania Abidi, Wissem Inoubli, Mouhamed Ghaith Ayadi
2024 C conf
Scaling Knowledge Graph Embedding with Parallel TransE and Graph Partitioning.
AICCSA
Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo
2024 — conf
Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV.
EGC
Wissem Inoubli, Armelle Brun
2023 B conf
DGCN: Learning Graph Representations Via Dense Connections.
KES
Khairi Abidi, Wissem Inoubli, Engelbert Mephu Nguifo
2023 — conf
Graph Representation Learning for Recommendation Systems: A Short Review.
ICIKS
Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo
2023 J jnl
Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking.
IEEE Access
Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli
2023 B conf
Trans-Trip: Translation-based embedding with Triplets for Heterogeneous Graphs.
KES
Khouloud Ammar, Wissem Inoubli, Sami Zghal, Amel Borji, Engelbert Mephu Nguifo
2022 J jnl
A distributed and incremental algorithm for large-scale graph clustering.
Future Gener. Comput. Syst.
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2022 — conf
DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification.
HR@RecSys
Wissem Inoubli, Armelle Brun
2021 — —
Analysis and Mining of Large Dynamic Graphs: case of graph clustering. (Fouille et Analyse de Grands Graphes Dynamiques : Application dans le clustering de graphes).
Wissem Inoubli
2021 — conf
Distributed Scalable Association Rule Mining over Covid-19 Data.
FDSE
Mahtab Shahin, Wissem Inoubli, Syed Attique Shah, Sadok Ben Yahia, Dirk Draheim
2021 J jnl
Pregnancy Associated Breast Cancer Gene Expressions : New Insights on Their Regulation Based on Rare Correlated Patterns.
IEEE ACM Trans. Comput. Biol. Bioinform.
Souad Bouasker, Wissem Inoubli, Sadok Ben Yahia, Gayo Diallo
2020 — conf
Un algorithme distribué pour le clustering de grands graphes.
EGC
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018 — conf
A Comparative Study on Streaming Frameworks for Big Data.
LADaS@VLDB
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018 J jnl
An experimental survey on big data frameworks.
Future Gener. Comput. Syst.
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2017 — conf
A Distributed Framework for Large-Scale Time-Dependent Graph Analysis.
TD-LSG@PKDD/ECML
Wissem Inoubli, Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Gustavo Coutinho, Lucas Peres, Regis Pires Magalhães, José Antônio Fernandes de Macêdo, Sabeur Aridhi, Engelbert Mephu Nguifo
2016 J jnl
Big Data Frameworks: A Comparative Study.
CoRR
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Alexander Jung