Wissem Inoubli

According to our database, Wissem Inoubli authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Large-scale knowledge graph representation learning.

Marwa Badrouni, Chaker Katar, Wissem Inoubli

Knowl. Inf. Syst., September, 2024

Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV.

Wissem Inoubli, Armelle Brun

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking.

Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli

IEEE Access, 2023

Trans-Trip: Translation-based embedding with Triplets for Heterogeneous Graphs.

Khouloud Ammar, Wissem Inoubli, Sami Zghal, Amel Borji, Engelbert Mephu Nguifo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

DGCN: Learning Graph Representations Via Dense Connections.

Khairi Abidi, Wissem Inoubli, Engelbert Mephu Nguifo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Graph Representation Learning for Recommendation Systems: A Short Review.

Khouloud Ammar, Wissem Inoubli, Sami Zghal, Engelbert Mephu Nguifo

Proceedings of the Advances in Information Systems, Artificial Intelligence and Knowledge Management, 2023

2022

A distributed and incremental algorithm for large-scale graph clustering.

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo

Future Gener. Comput. Syst., 2022

DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification.

Wissem Inoubli, Armelle Brun

Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

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

PhD thesis, 2021

Pregnancy Associated Breast Cancer Gene Expressions : New Insights on Their Regulation Based on Rare Correlated Patterns.

Souad Bouasker, Wissem Inoubli, Sadok Ben Yahia, Gayo Diallo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Distributed Scalable Association Rule Mining over Covid-19 Data.

Mahtab Shahin, Wissem Inoubli, Syed Attique Shah, Sadok Ben Yahia, Dirk Draheim

Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021

2020

Un algorithme distribué pour le clustering de grands graphes.

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo

Proceedings of the Extraction et Gestion des Connaissances, 2020

2018

An experimental survey on big data frameworks.

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo

Future Gener. Comput. Syst., 2018

A Comparative Study on Streaming Frameworks for Big Data.

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

2017

A Distributed Framework for Large-Scale Time-Dependent Graph Analysis.

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

Proceedings of the Workshop on Large-Scale Time Dependent Graphs (TD-LSG 2017) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

2016

Big Data Frameworks: A Comparative Study.

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Alexander Jung

CoRR, 2016