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- 2022
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Mark
Impact of model architecture and data distribution on self-supervised federated learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Augmentation for Generalization
- Master (Two yrs)
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Mark
Volatility Timing using Machine Learning - An Application to a Signal Based Portfolio
- Master (One yr)
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Mark
Investigating Machine Learning for verification of AMBA APB protocol.
- Master (Two yrs)
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Mark
Predicting preterm birth with machine learning methods
- Master (One yr)
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Mark
Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
- Master (One yr)
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Mark
Decarbonisation potential of multi-family Swedish Homes
(2022) AEBM01 20221
Division of Energy and Building Design
Department of Architecture and Built Environment- Master (Two yrs)
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Mark
Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment
- Master (Two yrs)
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Mark
Research of Chinese Stock Market Based on Financial Time Series and Deep Machine Learning
- Master (One yr)