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- 2018
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Mark
Generation of Artificial Training Data for Deep Learning
(2018) In Master’s Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control
- Master (Two yrs)
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Mark
Change of Purpose - The effects of the Purpose Limitation Principle in the General Data Protection Regulation on Big Data Profiling
- Prof. qual. >4 yrs
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Mark
Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
(2018) In Master's Theses in Mathematical Sciences FMAM05 20172
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Deep Learning to Predict Hip Fracture Risk from Clinical DXA-images
- Master (Two yrs)
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Mark
Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
(2018) In Master's Theses in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2017
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Mark
Deep Learning Methods for Streaming Image Reconstruction in Fixed-camera Settings
(2017) In Master's Theses in Mathematical Sciences FMAM05 20172
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Stand-alone music creation using machine learning
(2017) In Master's Theses in Mathematical Sciences FMA820 20171
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
- Master (Two yrs)