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- 2024
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Mark
Nonstandard Errors in Bank Default Prediction Using Machine Learning
(
- Bach. Degree
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Mark
Comparing Machine Learning Models for Predicting Lung Cancer Mortality Rates
(
- Bach. Degree
-
Mark
The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.
(
- Master (One yr)
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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
-
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
Artificial Intelligence based tool for decision-making in urban stormwater management
(
- Master (Two yrs)
-
Mark
SYMBOLIC REGRESSION IN ENERGY ENGINEERING
(
- Master (Two yrs)
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Mark
Particle identification for the NNBAR experiment at ESS
(
- Bach. Degree