Essays about: "Self-Supervised Learning"

Showing result 21 - 25 of 49 essays containing the words Self-Supervised Learning.

1. 21. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Elsa Jonsson; [2022]
   Keywords : AI; machine learning; digital pathology data; binary tumour classification;

   Abstract : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. READ MORE

3. 22. Feature extraction with self-supervised learning on eye-tracking data from Parkinson’s patients and healthy individuals

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Leo Bergman; [2022]
   Keywords : Eye-tracking; Representation learning; Self-supervised learning; Parkinson’s disease; Feature extraction; Clustering analysis; Ögonspårning; Särdragsextraktion; Parkinsonssjukdom; Representationsinlärning; Maskininlärning; Klustring;

   Abstract : Eye-tracking is a method for monitoring and measuring eye movements. The technology has had a significant impact so far and new application areas are emerging. Today, the technology is used in the gaming industry, health industry, self-driving cars, and not least in medicine. READ MORE

4. 23. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning

   University essay from KTH/Hälsoinformatik och logistik

   Author : Markus Ingemarsson; Jacob Henningsson; [2022]
   Keywords : Contrastive learning; data augmentations; deep learning; invariant features; machine learning; representation similarity analysis; self-supervised learning; SimCLR; Kontrast inlärning; datamodifieringar; djupinlärning; maskininlärning; SimCLR; självövervakat lärande; oföränderliga egenskaper; representativ likhetsanalys;

   Abstract : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. READ MORE

5. 24. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Emma Lind; [2022]
   Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

   Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE

6. 25. Self-Supervised Transformer Networks for Error Classification of Tightening Traces

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dennis Bogatov Wilkman; [2022]
   Keywords : Transformers; Self-supervised Learning; Multi-Label Error Classification; Tightening Traces; Transformatorer; Självövervakad Inlärning; Klassificering av fel med flera etiketter; Skärpnings spår;

   Abstract : Transformers have shown remarkable results in the domains of Natural Language Processing and Computer Vision. This naturally raises the question whether the success could be replicated in other domains. READ MORE