Centre for Mathematical Sciences
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- 2019
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Mark
Data Augmentation to Increase Multi-Site Robustness for Convolutional Neural Networks - A case study on MRI segmentation of target and organs at risk for prostate cancer
(
- Master (Two yrs)
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Mark
On Discrete Linear Systems
(
- Bach. Degree
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Smoothed Aggregation for Nonsymmetric Linear Systems
2019) In Master's Theses in Mathematica Sciences NUMM11 20191(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences- Master (Two yrs)
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Mark
Segmentation of White Blood Cells Using Deep Learning
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- Master (Two yrs)
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Mark
High-risk Consumer Credit Scoring using Machine Learning Classification
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- Master (Two yrs)
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Mark
Interest rate modelling
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- 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
Polynomial Computer Algebra and implementation of Wilf-Zeilberger's method
2019) In Master's Thesis in Mathematical Sciences 2019:E65 FMAM05 20192(
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
A Comparison of Some Value-at-Risk Validation Methods
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- Master (Two yrs)
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Mark
Deblurring of Cell Images Using Generative Adversarial Networks
(
- Master (Two yrs)