Essays about: "Generativa Motstridande Nätverk"
Found 5 essays containing the words Generativa Motstridande Nätverk.
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1. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. READ MORE
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2. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE
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3. Synthetic Data Generation for the Financial Industry Using Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Following the introduction of new laws and regulations to ensure data protection in GDPR and PIPEDA, interests in technologies to protect data privacy have increased. A promising research trajectory in this area is found in Generative Adversarial Networks (GAN), an architecture trained to produce data that reflects the statistical properties of its underlying dataset without compromising the integrity of the data subjects. READ MORE
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4. Synthesis of Tabular Financial Data using Generative Adversarial Networks
University essay from KTH/Matematisk statistikAbstract : Digitalization has led to tons of available customer data and possibilities for data-driven innovation. However, the data needs to be handled carefully to protect the privacy of the customers. Generative Adversarial Networks (GANs) are a promising recent development in generative modeling. READ MORE
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5. Comparison between standard and GAN-based data augmentation to improve chip pick classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pick-and-place machines are used to assemble printed circuit boards, but they sometimes fail to pick up components correctly. Images of the chips once picked up are classified by a neural network to determine whether the process was successful. READ MORE
