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- 2018
-
Mark
Predicting Stock Index Volatility Using Artificial Neural Networks: An empirical study of the OMXS30, FTSE100 & S&P/ASX200
(
- Master (One yr)
-
Mark
Exploring capsule network
2018) FYTK02 20181(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
(
- Prof. qual. >4 yrs
-
Mark
Trainable Activation Functions For Artificial Neural Networks
2018) FYTK02 20181(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
- 2017
-
Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
(
- Master (Two yrs)
-
Mark
Region of Interest Prediction in Football Using Artificial Neural Networks
(
- Master (Two yrs)
-
Mark
On stock return prediction with LSTM networks
(
- Master (One yr)
- 2016
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Prostate Cancer Classification using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Training Artificial Neural Networks on the Marginal Distribution Estimates of the C index
2016) FYTK02 20161(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree