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- 2019
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Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
- Master (Two yrs)
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Mark
License Plate Detection Utilizing Synthetic Data from Superimposition
- Master (Two yrs)
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Mark
Convolutional Neural Network Emulators for DGVMs - A Supervised Machine Learning Approach to Big Data Processing
- Bach. Degree
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Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(2019) In Master's Thesis in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Future Frame Prediction with Generative Adversarial Networks
(2019) In Master's Thesis in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Detection of Archaeological Sites from Aerial Imagery using Deep Learning
- Master (Two yrs)
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Mark
Deep Distributional Temporal Difference Learning for Game Playing
- Master (Two yrs)
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Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(2019) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Deep Learning techniques for classification of data with missing values
- Master (One yr)
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Mark
Forecasting the USD/SEK exchange rate using deep neural networks
- Bach. Degree