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- 2022
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Mark
Predicting Acute Kidney Injury In Sepsis Patients: A Machine Learning Approach
- Master (Two yrs)
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Mark
An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance
- Master (Two yrs)
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Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
- Master (Two yrs)
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Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Predicting the Direction of Movement of Abnormal Returns using Earnings Conference Calls and FinBERT
- Master (One yr)
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Mark
Prognostisering av Restaurangförsäljning med Linjär Regression och Maskininlärning
- Master (Two yrs)
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Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
- Master (Two yrs)
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Mark
Aerial View Image-Goal Localization with Reinforcement Learning
- 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)