Nizar Mhadhbi

According to our database1, Nizar Mhadhbi authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
A Declarative Framework for Maximal <i>k</i>-plex Enumeration Problems.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020
SAT-based models for overlapping community detection in networks.
Computing, 2020

Cohesive Subgraph Models for Overlapping Community Search over Networks.
Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020

Maximal Clique Based Influence Maximization in Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

An Ontology-based Approach for Building and Querying ICH Video Datasets.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Représentations compactes des graphes et contraintes pseudo booléennes.
Proceedings of the Extraction et Gestion des connaissances, 2019

2018
Pushing the Envelope in Overlapping Communities Detection.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Detecting Highly Overlapping Community Structure by Model-based Maximal Clique Expansion.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Triangle-Driven Community Detection in Large Graphs Using Propositional Satisfiability.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
A SAT-Based Framework for Overlapping Community Detection in Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Finding Overlapping Communities in Networks Using Propositional Satisfiability.
Proceedings of the Actes des 13èmes journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2017

2016
Summarizing big graphs by means of pseudo-boolean constraints.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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