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Learning Geometry Compatibility with 3D Convolutional Neural Networks
(2019-10-04)
Modern video games offer substantial amounts of customization options. Manually testing the visual compatibility of all options is time-consuming and error-prone. Together with Ghost Games, we present a method of learning ...
An Empirical Survey of Bandits in an Industrial Recommender System Setting
(2023-09-21)
In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content ...
Improving echocardiogram view classification using diffusion models
(2023-10-23)
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 ...