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Showing result 1 - 5 of 14 essays matching the above criteria.
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1. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS
University essay from KTH/Tillämpad fysikAbstract : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. READ MORE
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2. Uncertainty Estimation in Volumetric Image Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE
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3. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Filing invoices under booking accounts can be a time-consuming task that could be alleviated by machine learning algorithms. There are two possible main methods for an algorithm to learn to classify such data: use a machine learning algorithm directly on the images, or extract words as tokens and use a machine learning algorithm on the set of words generated. READ MORE
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4. Computation of Effective Local Diffusion Tensor
University essay from KTH/FysikAbstract : Numerical simulations of large complex systems such as biomolecules often suffer from the full description of the system having too many dimensions for direct numerical calculations and Monte Carlo methods having trouble overcoming energy barriers. It is therefore desirable to formulate a description in lower dimension which captures the system’s macroscopic behaviour. READ MORE
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5. Deep Ensembles for Self-Training in NLP
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of deep learning methods the requirement of having access to large amounts of data has increased. In this study, we have looked at methods for leveraging unlabeled data while only having access to small amounts of labeled data, which is common in real-world scenarios. READ MORE