Mohamed Hamza Ibrahim

According to our database, Mohamed Hamza Ibrahim authored at least 20 papers between 2015 and 2025.

Collaborative distances:

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

2025

Interesting Concept Mining With Concept Lattice Convolutional Networks.

Mohamed Hamza Ibrahim, Rokia Missaoui, Pedro Henrique Batista Ruas da Silveira

IEEE Access, 2025

2024

Mining actionable concepts in concept lattice using Interestingness Propagation.

Mohamed Hamza Ibrahim, Rokia Missaoui

J. Comput. Sci., 2024

Querying Triadic Concepts through Partial or Complete Matching of Triples.

Pedro Henrique Batista Ruas da Silveira, Rokia Missaoui, Mohamed Hamza Ibrahim

CoRR, 2024

2023

Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter.

Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra R. Nasri

BMC Medical Informatics Decis. Mak., December, 2023

Enhancing Actionable Formal Concept Identification with Base-Equivalent Conceptual-Relevance.

Ayao Bobi, Rokia Missaoui, Mohamed Hamza Ibrahim

CoRR, 2023

2022

Computing triadic generators and association rules from triadic contexts.

Rokia Missaoui, Pedro H. B. Ruas, Léonard Kwuida, Mark A. J. Song, Mohamed Hamza Ibrahim

Ann. Math. Artif. Intell., 2022

2021

An exemplar-based clustering using efficient variational message passing.

Mohamed Hamza Ibrahim, Rokia Missaoui

Data Min. Knowl. Discov., 2021

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure.

Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

CoRR, 2021

Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis.

Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

IEEE Access, 2021

Conceptual Relevance Index for Identifying Actionable Formal Concepts.

Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

Proceedings of the Graph-Based Representation and Reasoning, 2021

2020

Approximating concept stability using variance reduction techniques.

Mohamed Hamza Ibrahim, Rokia Missaoui

Discret. Appl. Math., 2020

Leveraging cluster backbones for improving MAP inference in statistical relational models.

Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant

Ann. Math. Artif. Intell., 2020

Cross-Face Centrality: A New Measure for Identifying Key Nodes in Networks Based on Formal Concept Analysis.

Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

IEEE Access, 2020

2019

Detecting Local Community Structures in Social Networks Using Concept Interestingness.

Mohamed Hamza Ibrahim, Rokia Missaoui, Abir Messaoudi

CoRR, 2019

Detecting Communities in Complex Networks Using Formal Concept Analysis.

Rokia Missaoui, Abir Messaoudi, Mohamed Hamza Ibrahim, Talel Abdessalem

Proceedings of the Advances in Knowledge Discovery and Management, 2019

Detecting Overlapping Communities in Two-mode Data Networks using Formal Concept Analysis.

Abir Messaoudi, Rokia Missaoui, Mohamed Hamza Ibrahim

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling.

Mohamed Hamza Ibrahim, Rokia Missaoui

Proceedings of the Graph-Based Representation and Reasoning, 2018

Detecting communities in social networks using concept interestingness.

Mohamed Hamza Ibrahim, Rokia Missaoui, Abir Messaoudi

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

2017

Improving probabilistic inference in graphical models with determinism and cycles.

Mohamed Hamza Ibrahim, Christopher Joseph Pal, Gilles Pesant

Mach. Learn., 2017

2015

Exploiting Determinism to Scale Relational Inference.

Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles Pesant

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015