Hasil Pencarian - Mohamed Hamza Ibrahim
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Identifying Influential Nodes in Two-Mode Data Networks Using Formal Concept Analysis oleh Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt
Diterbitkan 2021-01-01
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Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter oleh Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri
Diterbitkan 2023-10-01
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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis oleh Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri
Diterbitkan 2023-10-01
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Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data oleh Natalia Jaworska, Natalia Jaworska, Natalia Jaworska, Sara de la Salle, Mohamed-Hamza Ibrahim, Pierre Blier, Pierre Blier, Pierre Blier, Verner Knott, Verner Knott, Verner Knott
Diterbitkan 2019-01-01
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