Department of Statistics
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- 2025
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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
Health or Wealth? A Tree-Based Approach to Understanding Socioeconomic Disparities of Regional Obesity Rates in Finland
- Master (One yr)
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Mark
Precedent-Based Adaptive Modelling Framework for Basketball Win-Prediction
- Master (One yr)
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Mark
Optimizing Data-driven Project Duration Prediction through Machine Learning Approaches
- Master (One yr)
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Mark
Feature Selection for Rare Earth Element Price Forecasting - A Hybrid Econometric and Machine Learning Approach
- Master (One yr)
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Mark
Evaluating LSTM Neural Networks for Energy Forecasting in CHP Plants: A Comparative Approach
- Master (One yr)
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Mark
Decoding the News with Transformers
- Master (One yr)
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Mark
Unsupervised Machine Learning for Process Optimization
- Master (One yr)
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Mark
Can machine learning be used to accurately forecast intraday index returns using candlestick data?
- Master (One yr)