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- 2018
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Mark
Myocardial Segmentation in MR images using fully Convolutional Neural Networks
- Master (Two yrs)
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Mark
Search for High-Mass Dijet Resonances Decaying into Top Quark Pairs using Machine Learning Techniques in the ATLAS Experiment
- Master (Two yrs)
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Mark
Insect Event Extraction in LIDAR Images using Image Analysis and Convolutional Neural Networks
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
- Master (Two yrs)
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Mark
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
Prediction of Conversion Rates in Online Marketing - A study of the application of logistic regression for predicting conversion rates in online marketing.
- Master (Two yrs)
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Mark
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Reinforcement learning for planning of a simulated production line
(2018) In Master's Theses in Mathematical Sciences FMAM05 20172
Mathematics (Faculty of Engineering)- Master (Two 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)