Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...
Recent advancements in hyperspectral imaging and machine learning have revolutionized the non-destructive monitoring of crop nutritional status, enabling accurate prediction of plant element ...
On Friday the 16th of June 2023, M.Sc. Rita Beigaitė defends her PhD thesis on Machine Learning Methods for Globally Structured Multi-Target Data. The thesis is related to research done in the ...
Smart multi-target drugs are reshaping modern therapeutics by addressing the complex, interconnected pathways that drive diseases like Alzheimer’s, cancer, and major depressive disorder. Advances in ...
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