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- 2019
-
Mark
Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly
- Master (Two yrs)
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Mark
Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden
- Master (Two yrs)
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Mark
Assessment of machine learning methods for the classification and weight estimation of meals
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Crime Prediction in Swedish Municipalities with machine learning algorithms
- Bach. Degree
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Mark
RGB and Multispectral UAV image classification of agricultural fields using a machine learning algorithm
- Master (Two yrs)
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Mark
High-risk Consumer Credit Scoring using Machine Learning Classification
- Master (Two yrs)
- 2018
-
Mark
How 140 Characters can be related to the Stock Market Movements: Sentiment Analysis of Twitter
- Master (One yr)
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Mark
Evaluation of Features for Prediction of Hospitalization in Patients with End Stage Renal Disease
- Master (Two yrs)
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Mark
Assessing edge pixel classification and growing stock volume estimation in forest stands using a machine learning algorithm and Sentinel-2 data
- Master (Two yrs)
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Mark
Improving the OpenStreetMap Data Set using Deep Learning
- Prof. qual. >4 yrs