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- 2024
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Mark
The Relationship Between ESG Performance and Innovation: Machine Learning Prediction and Quantitative Analysis
- Master (One yr)
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Mark
Smoothing techniques for 3D animated human pose estimation data
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Enhancing the resolution of brain MRIs using deep learning.
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Electricity price forecast modelling of the Swedish FCR-D down market
- Prof. qual. >4 yrs
-
Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
- Master (Two yrs)
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
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Mark
Forecasting during recession: Comparing the performance of machine learning and autoregressive models on the Swedish stock market
- Bach. Degree
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Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
(2024) In Master Thesis in Geographical Information Science GISM01 20232
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
- Bach. Degree
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Mark
Multivariate time series classification in time-sensitive environments using deep learning
(2024) In Master's Theses in Mathematical Sciences FMAM05 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)