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- 2025
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Mark
Semi-supervised segmentation of blood vessels in synchrotron μm-CT scans
- Master (Two yrs)
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Mark
Deep learning model ensemble for remote sensing land use classification
- Master (Two yrs)
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Mark
Street-level greenery mapping and urban heat modelling using deep learning and street view imagery
- Master (Two yrs)
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Mark
Environmental Drivers of Baltic Sea Fishing – A LSTM Spatio-Temporal Study
- Master (Two yrs)
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Mark
Investigating individual learning rates on standard optimizers for ANN training
- Bach. Degree
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Mark
Far-field phase retrieval with unpaired AI approaches
- Bach. Degree
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Mark
Enhancing Deep Learning-Based 3D Face Reconstructions with Consumer-Grade Depth Data
(2025) In Master’s Theses in Mathematical Sciences FMAM05 20251
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2024
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Mark
Inferring lane-level topology of signalised intersections from aerial imagery and OpenStreetMap using deep learning
(2024) In Master Thesis in Geographical Information Science GISM01 20241
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
Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
(2024) In Master’s Theses in Mathematical Sciences FMAM02 20232
Mathematics (Faculty of Engineering)- Master (Two yrs)