Department of Statistics
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- 2025
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Mark
Comparing Machine Learning Models for Ukrainian Households Clustering through the Prism of Expenditures
- Master (One yr)
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Mark
Predicting Corporate Credit Ratings with Machine Learning: A Sector-Specific Evaluation Across U.S. Industries
- Master (One yr)
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Mark
(XG)Boosting Covid-19 forecast accuracy - Utilizing panel data to forecast Covid-19 test positivity in Uppsala County
- Master (One yr)
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Mark
Multi-Label Classification of Sustainability Topics in Media Coverage: A Comparative Study of Transformer Models
- Master (One yr)
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Mark
Prediction of citation count using abstracts
- Master (One yr)
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Mark
Enhanced Disease Classification with HybridCNNViT model and Synthetic Oversampling (SMOTE)
- Master (One yr)
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Mark
Deep Learning Architectures for Alzheimer’s Diagnosis A Comparative Analysis from Basic CNNs to Modern Attention-Based Models
- Master (One yr)
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Mark
Analysis and Prediction of Cyber-Threats using Machine Learning algorithms
- Master (One yr)
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Mark
Fair Finance: Assessing Geopolitical Bias in Transformer-Based NLP Models
- Master (One yr)
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Mark
Credit Risk Modeling for European Utility Companies: A Hybrid Approach
- Master (One yr)