International Best Paper Award
Karl Øyvind Mikalsen, UiT Machine Learning Group, has been awarded best article within the field “computerized clinical decision support". The award was issued by the International Medical Informatics Society for the paper "Using anchors from free text in electronic health records to diagnose postoperative delirium". Interested readers can find the full article here.
Mikalsen's article also garnered attention from Norwegian media, which highlighted its potential for identifying patients with a higher risk of experiencing postoperative complications. The full article can be found here.
Machine Learning and PET Imaging
A new collaboration between the PET research groups in Tromsø, Bergen and Trondheim, named "Kystsamarbeidet", has been granted 80 MNOK from Tromsø Forskningsstiftelse and Trond Mohn stiftelse. The UiT Machine Learning Group is an integral part of the project as developers of automatic analysis tools for the PET imagery. Interested readers can find the the full article here.
Northern Lights Deep Learning Workshop 2019
The UiT Machine Learning will be hosting the Northern Lights Deep Learning Workshop from the 10-11 January. Top researchers from across the globe gather to present their work and share ideas. Interested reader can find more information at the official webpage of the workshop or in this article here (Note: Only available in Norwegian).
Automatic Power Line Surveillance
Power companies face significant challenges with regards to monitoring the condition of their electricity grid, equipment and power lines. The Norwegian company Esmart Systems has initiated an innovative project on automatic surveillance of power lines through images and videos captured by drones equipped with cameras. Towards the goal of automatic surevillance, the UiT Machine Learning Group has been engaged to provide guidance with regards to the development of the computer vision model that will underpin the monitoring system. Interested readers can read more about our groups collaboration with Esmart Systems here. (Note: Only available in Norwegian)
Change Detection in Satellite Images
Change detection in heterogeneous multitemporal satellite images is an emerging topic in remote sensing. The UiT Machine Learning Group is leading a project on advancing the methodology for change detection in heterogeneous remote sensing images, with a particular focus on deep learning. Interested readers can read more about our project on change detection in heterogeneous remote sensing images here. (Note: Only available in Norwegian)
Credit Risk Assessment
Lending is the principal driver of bank revenues in retail banking, where banks must assess whether to grant a loan at the moment of application. Therefore, banks focus on different aspects to improve this credit assessment. Santander Consumer Bank has solicited support from the UiT Machine Learning Group in order to explore the potential for novel, automatic credit risk assessment through machine learning, and in particular, deep learning methodology. Interested readers can read more about our groups collaboration with Santander here. (Note: Only available in Norwegian)
UiT Machine Learning Group
The UiT Machine Learning Group combines basic research in machine learning with cutting edge applications for industrial applications. The group has experience and expertise in a number of machine learning research areas, in particular kernel methods and deep learning, and close connections with renowned universities around the globe. Interested reader can read more about the activities of the UiT Machine Learning Group here. (Note: Only available in Norwegian)