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patients survive. However, analysing these samples can be slow and take a lot of work for doctors. The goal of this PhD project is to create AI and machine learning techniques to more accurately and quickly
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. Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study JMIR Med Inform 2020;8(9):e20995 Tobin et al. Co-Clustering Multi-View Data
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for Predicting Dairy Cattle Methane Emissions: From Traditional Methods to Machine Learning, Journal of Animal Science, Volume 102, 2024 [3] Ruff W.E., Greiling T.M. & Kriegel M.A. Host–microbiota interactions in
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. This project is a 4-year PhD project with enhanced training and 3+ month placement, which is fully funded by UKRI BBSRC through the NI Landscape Partnership in AI for Bioscience (NILAB) Programme, delivered by
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across different stages of the machine learning pipeline, but their selection and application for specific use cases need further investigation. This PhD project will: * Provide a taxonomy of XAI methods
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researcher and the PHA by providing expertise in data analytics, statistical analysis and machine learning, and the PhD researcher will also be supported by the Doctoral College training resources at Ulster
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. Combining computer vision with artificial intelligence will enable a PhD researcher to develop models that can reason, understand or learn like a human. The ability to identify defects, adapt to new and
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. In collaboration with LoweConex, a leading software and analytics provider for connected building assets, this project combines machine learning, physics-based models, and expert domain knowledge