Essays about: "Imbalanced dataset"
Showing result 1 - 5 of 49 essays containing the words Imbalanced dataset.
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1. Improving echocardiogram view classification using diffusion models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE
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2. The Demos Index
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : Democracy is both a question of who the people are (demos) and how they rule (kratos); our understanding of democracy is imbalanced in favour of the latter. The aim of this thesis is to conduct a pilot project evaluating and comparing the level of democracy from a demos perspective through an index. READ MORE
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3. Predicting morphological effect of compounds on COVID-19 infected cells
University essay from Uppsala universitet/Läkemedelsdesign och läkemedelsutvecklingAbstract : The cost of developing new drugs is high and the aim of computer-assisted drug discovery is to reduce that development cost, either through virtual screening or generating novel compounds. System biology is one approach to drug discovery where the response of a biological system is the subject of study, instead of drug target interaction. READ MORE
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4. Evaluation of machine learning models for classifying malicious URLs
University essay from Högskolan i Gävle/DatavetenskapAbstract : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. READ MORE
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5. Quality Assuring an Image Data Pipeline with Transfer Learning : Using Computer Vision Methodologies
University essay from Uppsala universitet/Avdelningen Vi3Abstract : The computer vision field has taken big steps forwards and the amount of models and datasets that are being released is increasing. A large number of contemporary models are the result of extensive training sessions on massive datasets, reflecting a significant investment of time and computational resources. READ MORE