Exploiting Determinism to Scale Relational Inference. - Mohamed Hamza Ibrahim; Christopher J. Pal; Gilles Pesant (AAAI, 2015)

Improving probabilistic inference in graphical models with determinism and cycles. - Mohamed Hamza Ibrahim; Christopher Joseph Pal; Gilles Pesant (Mach. Learn., 2017)

Detecting communities in social networks using concept interestingness. - Mohamed Hamza Ibrahim; Rokia Missaoui; Abir Messaoudi (CASCON, 2018)

An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling. - Mohamed Hamza Ibrahim; Rokia Missaoui (ICCS, 2018)

Detecting Overlapping Communities in Two-mode Data Networks using Formal Concept Analysis. - Abir Messaoudi; Rokia Missaoui; Mohamed Hamza Ibrahim (EGC, 2019)

Detecting Communities in Complex Networks Using Formal Concept Analysis. - Rokia Missaoui; Abir Messaoudi; Mohamed Hamza Ibrahim; Talel Abdessalem (EGC (best of volume), 2019)

Detecting Local Community Structures in Social Networks Using Concept Interestingness. - Mohamed Hamza Ibrahim; Rokia Missaoui; Abir Messaoudi (CoRR, 2019)

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)

Leveraging cluster backbones for improving MAP inference in statistical relational models. - Mohamed Hamza Ibrahim; Christopher J. Pal; Gilles Pesant (Ann. Math. Artif. Intell., 2020)

Approximating concept stability using variance reduction techniques. - Mohamed Hamza Ibrahim; Rokia Missaoui (Discret. Appl. Math., 2020)

Conceptual Relevance Index for Identifying Actionable Formal Concepts. - Mohamed Hamza Ibrahim; Rokia Missaoui; Jean Vaillancourt (ICCS, 2021)

Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis. - Mohamed Hamza Ibrahim; Rokia Missaoui; Jean Vaillancourt (IEEE Access, 2021)

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure. - Mohamed Hamza Ibrahim; Rokia Missaoui; Jean Vaillancourt (CoRR, 2021)

An exemplar-based clustering using efficient variational message passing. - Mohamed Hamza Ibrahim; Rokia Missaoui (Data Min. Knowl. Discov., 2021)

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)

Enhancing Actionable Formal Concept Identification with Base-Equivalent Conceptual-Relevance. - Ayao Bobi; Rokia Missaoui; Mohamed Hamza Ibrahim (CoRR, 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., 2023)

Querying Triadic Concepts through Partial or Complete Matching of Triples. - Pedro Henrique Batista Ruas da Silveira; Rokia Missaoui; Mohamed Hamza Ibrahim (CoRR, 2024)

Mining actionable concepts in concept lattice using Interestingness Propagation. - Mohamed Hamza Ibrahim; Rokia Missaoui (J. Comput. Sci., 2024)

Interesting Concept Mining With Concept Lattice Convolutional Networks. - Mohamed Hamza Ibrahim; Rokia Missaoui; Pedro Henrique Batista Ruas da Silveira (IEEE Access, 2025)