Search for dissertations about: "self-supervised learning"
Showing result 1 - 5 of 13 swedish dissertations containing the words self-supervised learning.
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1. Self-supervised deep learning and EEG categorization
Abstract : Deep learning has the potential to be used to improve and streamline EEG analysis. At the present, classifiers and supervised learning dominate the field. Supervised learning depends on target labels which most often are created by human experts manually classifying data. READ MORE
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2. Self-supervised Representation Learning for Visual Domains Beyond Natural Scenes
Abstract : This thesis investigates the possibility of efficiently adapting self-supervised representation learning on visual domains beyond natural scenes, e.g., medical imagining and non-RGB sensory images. READ MORE
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3. Structured Representations for Explainable Deep Learning
Abstract : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. READ MORE
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4. Geometric Supervision and Deep Structured Models for Image Segmentation
Abstract : The task of semantic segmentation aims at understanding an image at a pixel level. Due to its applicability in many areas, such as autonomous vehicles, robotics and medical surgery assistance, semantic segmentation has become an essential task in image analysis. READ MORE
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5. Deep Learning for Digital Pathology in Limited Data Scenarios
Abstract : The impressive technical advances seen for machine learning algorithms in combination with the digitalization of medical images in the radiology and pathology departments show great promise in introducing powerful image analysis tools for image diagnostics. In particular, deep learning, a subfield within machine learning, has shown great success, advancing fields such as image classification and detection. READ MORE