Essays about: "evaluation metrics"
Showing result 11 - 15 of 548 essays containing the words evaluation metrics.
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11. Despeckling Echocardiograms Using Generative Adversarial Networks
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. READ MORE
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12. Achieving Cost-Effective Testing for Serverless Based Applications
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Testing serverless applications poses unique challenges compared to traditional applications, such as the abstraction of its inner workings and how the pay-per-usage model means tests incur monetary costs. With the goal of studying practitioner’s approaches on this topic of cost-efficiency, we conducted five interviews and distributed a survey which received six responses. READ MORE
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13. Measurement of Business Incubator Performance by Governments: Studying the Practices in the Nordic Region
University essay from Göteborgs universitet/Graduate SchoolAbstract : This master thesis aims to investigate the measurement of business incubator performance by governments. Business incubators play a vital role in nurturing startups, promoting innovation, and fostering economic development. READ MORE
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14. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE
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15. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE