Mohamed Hamza Ibrahim

Orcid: 0000-0002-0604-2709

According to our database1, Mohamed Hamza Ibrahim authored at least 18 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Querying Triadic Concepts through Partial or Complete Matching of Triples.
CoRR, 2024

2023
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter.
BMC Medical Informatics Decis. Mak., December, 2023

Enhancing Actionable Formal Concept Identification with Base-Equivalent Conceptual-Relevance.
CoRR, 2023

2022
Computing triadic generators and association rules from triadic contexts.
Ann. Math. Artif. Intell., 2022

2021
An exemplar-based clustering using efficient variational message passing.
Data Min. Knowl. Discov., 2021

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure.
CoRR, 2021

Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis.
IEEE Access, 2021

Conceptual Relevance Index for Identifying Actionable Formal Concepts.
Proceedings of the Graph-Based Representation and Reasoning, 2021

2020
Approximating concept stability using variance reduction techniques.
Discret. Appl. Math., 2020

Leveraging cluster backbones for improving MAP inference in statistical relational models.
Ann. Math. Artif. Intell., 2020

Cross-Face Centrality: A New Measure for Identifying Key Nodes in Networks Based on Formal Concept Analysis.
IEEE Access, 2020

2019
Detecting Local Community Structures in Social Networks Using Concept Interestingness.
CoRR, 2019

Detecting Communities in Complex Networks Using Formal Concept Analysis.
Proceedings of the Advances in Knowledge Discovery and Management, 2019

Detecting Overlapping Communities in Two-mode Data Networks using Formal Concept Analysis.
Proceedings of the Extraction et Gestion des connaissances, 2019

2018
An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling.
Proceedings of the Graph-Based Representation and Reasoning, 2018

Detecting communities in social networks using concept interestingness.
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.
Mach. Learn., 2017

2015
Exploiting Determinism to Scale Relational Inference.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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