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- 2018
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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
Bootstrapping Neural Networks for Time Series Forecasting
- Master (One yr)
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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)
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Mark
Exploring capsule network
(2018) FYTK02 20181
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
- 2017
-
Mark
Region of Interest Prediction in Football Using Artificial Neural Networks
(2017) In Master’s Theses in Mathematical Sciences FMA820 20162
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
On stock return prediction with LSTM networks
- Master (One yr)
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Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
- Master (Two yrs)
- 2016
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Mark
Training Artificial Neural Networks on the Marginal Distribution Estimates of the C index
(2016) FYTK02 20161
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
-
Mark
Evaluation of Models for Estimating of Handball Game Flow
(2016) In Master's Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)