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ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9 de Arruda, H. F., Gracia-Lázaro, C., Aleta, A. and Moreno, Y. “Collective
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ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9 de Arruda, H. F., Gracia-Lázaro, C., Aleta, A. and Moreno, Y. “Collective
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multi-state, Poisson, von Mises circular and Gaussian distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Required knowledge Mathematics at least to 1st year undergraduate level
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multi-state, Poisson, von Mises circular and Gaussian distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Required knowledge Mathematics at least to 1st year undergraduate level
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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Primary supervisor Wai Peng Wong Research area Data Science and Artificial Intelligence The project involves building a high-fidelity digital twin of complex urban or environmental systems by
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Primary supervisor Wai Peng Wong Research area Data Science and Artificial Intelligence The project involves building a high-fidelity digital twin of complex urban or environmental systems by
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Primary supervisor Jesmin Nahar Research area Machine Learning 1. Research Objectives & Clinical Problem Late-stage diagnosis remains the leading cause of high mortality in ovarian cancer, as early
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Primary supervisor Jesmin Nahar Research area Machine Learning 1. Research Objectives & Clinical Problem Late-stage diagnosis remains the leading cause of high mortality in ovarian cancer, as early