Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data von Jaworska, Natalia, de la Salle, Sara, Ibrahim, Mohamed-Hamza, Blier, Pierre, Knott, Verner

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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis von Laison, Elda Kokoe Elolo, Hamza Ibrahim, Mohamed, Boligarla, Srikanth, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Muthuramalingam, Venkataraman, Lee, Wee Yi, Yin, Yijun, Nasri, Bouchra R

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An exemplar-based clustering using efficient variational message passing von Ibrahim, Mohamed Hamza, Missaoui, Rokia

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Approximating concept stability using variance reduction techniques von Ibrahim, Mohamed-Hamza, Missaoui, Rokia

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Leveraging cluster backbones for improving MAP inference in statistical relational models von Ibrahim, Mohamed-Hamza, Pal, Christopher, Pesant, Gilles

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Improving probabilistic inference in graphical models with determinism and cycles von Ibrahim, Mohamed-Hamza, Pal, Christopher, Pesant, Gilles

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Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis von Ibrahim, Mohamed Hamza, Missaoui, Rokia, Vaillancourt, Jean

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Cross-Face Centrality: A New Measure for Identifying Key Nodes in Networks Based on Formal Concept Analysis von Ibrahim, Mohamed Hamza, Missaoui, Rokia, Vaillancourt, Jean

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Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter von Boligarla, Srikanth, Laison, Elda Kokoè Elolo, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Lin, Yangming, Thioub, Mamadou Yamar, Huang, Bruce, Ibrahim, Mohamed Hamza, Nasri, Bouchra

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Conceptual Relevance Index for Identifying Actionable Formal Concepts von Ibrahim, Mohamed-Hamza, Missaoui, Rokia, Vaillancourt, Jean

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Mining actionable concepts in concept lattice using Interestingness Propagation von Ibrahim, Mohamed Hamza, Missaoui, Rokia

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An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling von Ibrahim, Mohamed-Hamza, Missaoui, Rokia

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Potential benefits and limitations of ChatGPT in healthcare: a scoping review von Al Mamun, Mohammad, Chowdhury, Turin, Omer, Hamza Mohamed Ibrahim

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Detecting Important Patterns Using Conceptual Relevance Interestingness Measure von Mohamed-Hamza, Ibrahim, Missaoui, Rokia, Vaillancourt, Jean

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Identifying Influential Nodes in Two-mode Data Networks using Formal Concept Analysis von Mohamed-Hamza, Ibrahim, Missaoui, Rokia, Vaillancourt, Jean

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Computing triadic generators and association rules from triadic contexts von Missaoui, Rokia, Ruas, Pedro H. B., Kwuida, Léonard, Song, Mark A. J., Ibrahim, Mohamed Hamza

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Awareness and Readiness of Healthcare Workers Regarding National Transformation Program in the Health Sector in Tabuk Region, Saudi Arabia von Ghalibi, Khulud Mohammed, Ibrahim Omer, Hamza Mohamed, Al Mamun, Mohammad

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Detecting Communities in Complex Networks Using Formal Concept Analysis von Missaoui, Rokia, Messaoudi, Abir, Ibrahim, Mohamed Hamza, Abdessalem, Talel

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Advances in Knowledge Discovery and Management: Volume 9 von Jaziri, Rakia, Martin, Arnaud, Rousset, Marie-Christine, Boudjeloud-Assala, Lydia, Guillet, Fabrice

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The effect of cryotherapy on substance P expression von Esraa Ibrahim, Tarek Abdel Aziz, Maram Obeid

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