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- 2022
-
Mark
Prediction of appropriate L2 regularization strengths through Bayesian formalism
(2022) FYTK02 20221
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
-
Mark
Combined Regularisation Techniques for Artificial Neural Networks
- Bach. Degree
-
Mark
Combining Cross-Validation and Ensemble Creation for Artificial Neural Networks
- Bach. Degree
- 2020
-
Mark
Validation Based Cascade-Correlation Training of Artificial Neural Networks
- Bach. Degree
-
Mark
Self-adaptive random walk with pesudo-gradients for genetic evolution of an artificial neural network
- Master (Two yrs)
-
Mark
Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)
- Master (Two yrs)
- 2019
-
Mark
Deep Learning techniques for classification of data with missing values
- Master (One yr)
-
Mark
Self-Adaptive Mutation Operators for Genetic Neural Networks in Survival Analysis
(2019) FYTK02 20182
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree
-
Mark
Microarray Quality Control using Artificial Neural Networks
(2019) FYTM03 20191
Department of Astronomy and Theoretical Physics - Has been reorganised
Computational Biology and Biological Physics - Has been reorganised- Master (Two yrs)
- 2018
-
Mark
Optimizing Genetic Training Parameters for Neural Networks in Survival Analysis
(2018) FYTK02 20181
Computational Biology and Biological Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Bach. Degree