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- 2019
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Mark
Crime Prediction in Swedish Municipalities with machine learning algorithms
- Bach. Degree
- 2018
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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)
-
Mark
How 140 Characters can be related to the Stock Market Movements: Sentiment Analysis of Twitter
- Master (One yr)
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Mark
Improving the OpenStreetMap Data Set using Deep Learning
- Prof. qual. >4 yrs
-
Mark
Evaluation of Features for Prediction of Hospitalization in Patients with End Stage Renal Disease
- Master (Two yrs)
- 2017
-
Mark
Comparison of multi-temporal and multispectral Sentinel-2 and Unmanned Aerial Vehicle imagery for crop type mapping
(2017) In Lund Un iversity GEM thesis series NGEM01 20162
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Joint use of Sentinel-1 and Sentinel-2 for land cover classification : a machine learning approach
(2017) In Lund University GEM thesis series NGEM01 20162
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Machine learning and its applications within insurance hit rates and credit risk modelling
- Master (Two yrs)
- 2016
-
Mark
The use of Machine Learning Algorithms for Adaptive Question Selection in Questionnaire-based Mental Health Data Collection Apps
- Master (Two yrs)
- 2013
-
Mark
Image based Wheel Detection using Random Forest Classification
(2013) In Master's Theses in Mathematical Sciences 2013:E7 FMA820 20131
Mathematics (Faculty of Engineering)- Master (Two yrs)