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- 2022
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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
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Mark
Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
- Master (Two yrs)
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Mark
Modeling code quality using machine intelligence
- Master (Two yrs)
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Mark
Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
- 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)
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Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems
- Master (Two yrs)
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Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Observation Based Modeling of Liquid Slosh in Drop Tests
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)