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- 2024
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Mark
SYMBOLIC REGRESSION IN ENERGY ENGINEERING
- Master (Two yrs)
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Mark
Particle identification for the NNBAR experiment at ESS
- Bach. Degree
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Mark
Can Public Sentiment Improve Portfolio Performance?
- Master (One yr)
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Mark
Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
- 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
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)
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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)