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- 2019
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Mark
Machine Learning Based Video Editing Toolbox for Automatic Summary of Medical Videos
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Prognostication after out-of-hospital cardiac arrest using artificial neural networks
- Master (Two yrs)
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Mark
Analysing Raman spectra of crystalline cellulose degradation by fungi using artificial neural networks
(2019) FYTK02 20182
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
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Mark
Classification of GPU rendering errors with Artificial Neural Networks
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
- 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
Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts
- Bach. Degree
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Mark
Modelling driver behaviour with Artificial Neural Networks
(2019) In Bachelor's theses in Mathematical Sciences MATK11 20191
Mathematics (Faculty of Engineering)- Bach. Degree
- 2018
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Mark
Trainable Activation Functions For Artificial Neural Networks
(2018) FYTK02 20181
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
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Mark
Myocardial Segmentation in MR images using fully Convolutional Neural Networks
- Master (Two yrs)