Essays about: "Quality metrics"
Showing result 11 - 15 of 428 essays containing the words Quality 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. Challenges in Specifying Safety-Critical Systems with AI-Components
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. 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. VC Investment Decisions: Hunches, Metrics, or Coin Flips?
University essay fromAbstract : Venture capitalists (VCs) face a complex decision-making process when selecting startups to invest in. This qualitative single case study aims to highlight the factors VCs take into account and how their decisions vary depending on the investment area and startup stage, where previous research has yielded conflicting conclusions. READ MORE
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15. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE