Essays about: "labeled datasets"
Showing result 1 - 5 of 72 essays containing the words labeled datasets.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for large labeled design pattern datasets. READ MORE
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3. Ultrasound neural style transfer using domain specific features
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Ultrasound imaging is a widely used fast, low-cost, and non-invasive modality for monitoringfetal development during pregnancy and identifying potential problems or other injuries.However, interpreting the images may be difficult due to the noisy appearance and requiresextensive training of sonographers. READ MORE
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4. Machine Learning model applied to Reactor Dynamics
University essay from KTH/FysikAbstract : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. READ MORE
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5. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. READ MORE
