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- 2024
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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
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)
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Mark
Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
- Master (Two yrs)
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Mark
Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
- Master (Two yrs)
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Mark
Video Object Detection for Maritime Navigation
(2024) In Master's Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Integrated Error Detection at Software Launches with the Use of Machine Learning
- Master (Two yrs)
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Mark
Geospatial neighborhood to enhance machine learning for dust storm susceptibility studies in the Middle East
- Master (Two yrs)
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Mark
Predicting customer churn rate with machine learning, for use in customer lifetime value calculations in the telecommunications industry
- Master (Two yrs)
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Mark
Predicting Prices of Tech Stocks using the Transformer
- Bach. Degree