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- 2020
-
Mark
Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps
(
- Master (Two yrs)
-
Mark
A Study of Time-Stepping Methods for Optimization in Supervised Learning
2020) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Machine learning methods on Swedish geological data
(
- Master (Two yrs)
-
Mark
JPEG-deblocking of Blood Cell Images using Deep Learning
(
- Master (Two yrs)
- 2019
-
Mark
User Equipment Characterization using Machine Learning
(
- Master (Two yrs)
-
Mark
Memory Efficient Semantic Segmentation for Embedded Systems
(
- Master (Two yrs)
-
Mark
Forecasting the USD/SEK exchange rate using deep neural networks
(
- Bach. Degree
-
Mark
Exploring the LASSO as a Pruning Method
(
- Bach. Degree
- 2018
-
Mark
An exploration of the current state-of-the-art in automatic music transcription - with proposed improvements using machine learning
(
- Master (Two yrs)
-
Mark
Neural Networks and the Stock Market
(
- Bach. Degree