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- 2018
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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
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Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
- Prof. qual. >4 yrs
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Mark
Bootstrapping Neural Networks for Time Series Forecasting
- Master (One yr)
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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
Predicting Stock Index Volatility Using Artificial Neural Networks: An empirical study of the OMXS30, FTSE100 & S&P/ASX200
- Master (One yr)
- 2017
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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
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
- Master (Two yrs)
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Mark
On stock return prediction with LSTM networks
- Master (One yr)
- 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
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Mark
A Comparison of four methods of diseases mapping
(2016) In Lund University GEM thesis series NGEM01 20161
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)