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- 2024
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Mark
Investigation of Methods for Automating the Localization of Healthy or Unhealthy Lymph Node Tissue for Magnetomotive Imaging
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Stock Price Predictions for FAANG Companies Using Machine Learning Models
- Bach. Degree
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Mark
Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains Stemming from Superheavy Nuclei Research
- Bach. Degree
- 2023
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Mark
Machine learning based Topology Optimization
- Prof. qual. >4 yrs
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Mark
Exploring New Physics Through Collider and Gravitational Wave Measurements with Artificial Neural Networks: the Case Study of QCD-like Technicolor
- Master (One yr)
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Mark
Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
- Master (Two yrs)
- 2022
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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
Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
- Master (One yr)
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Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
- Master (Two yrs)
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Mark
Combined Regularisation Techniques for Artificial Neural Networks
- Bach. Degree