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- 2019
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Mark
Latent Space Growing of Generative Adversarial Networks
(2019) In Master's Thesis in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
- Master (Two yrs)
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Mark
AI-based machine vision for retail self-checkout system
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
- Master (Two yrs)
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Mark
License Plate Detection Utilizing Synthetic Data from Superimposition
- Master (Two yrs)
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Mark
Deep Distributional Temporal Difference Learning for Game Playing
- Master (Two yrs)
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Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(2019) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Deep Learning techniques for classification of data with missing values
- Master (One yr)
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Mark
Two subtypes of lung cancer classification from histopathology images based on deep learning
- Master (Two yrs)
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Mark
Deblurring of Cell Images Using Generative Adversarial Networks
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)