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Showing result 1 - 5 of 562 essays matching the above criteria.
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1. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE
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2. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. READ MORE
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3. Anatomical segmentation of the human brain: comparative assessment of two automatic methods
University essay fromAbstract : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. READ MORE
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4. ACCESS TO URBAN COOL AND GREEN SPACES FOR OLD ADULTS IN GOTHENBURG – A GIS-BASED ANALYSIS OF RADIANT HEAT
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Old adults are particularly vulnerable against heat stress. Considering the ageing society and the projected increase of heat events, planning for heat-resilient urban environments for old adults will become increasingly important. READ MORE
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5. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions
University essay from KTH/Matematik (Avd.)Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE