Research focus

MOST RECENT NEWS:

  • Two new papers accepted to the IEEE Biomedical and Health Informatics Conference, Las Vegas, 2018!
  • New paper on the possibilities of deep learning for power lines monitoring accepted to the International Journal of Electrical Power and Energy Systems.
  • We are now announcing the new faculty member position in machine learning for health.

Please press the button above for our flagship interdisciplinary research initiative.

UiT Machine Learning Group advances statistical and mathematical machine learning algorithms:

Deep learning [link] – Kernel machines [link]Change detection

Our research drives innovations

  • Machine learning for health analytics by mining electronic health records [link].
  • Analysis of multimodal earth observation images [media].
  • Credit risk analysis funded by Santander bank [media].
  • Drone-based image object analysis funded by eSmart systems [media].
  • Vegetation climate change analysis in the Arctic tundra (CoatTools)

The group’s research is to a large degree externally funded by the Research Council of Norway (RCN) over FRIPRO, ROMFORSK, IKTPLUSS and by industry via NÆRINGSPHD grants.

We organized the Scandinavian Conference on Image Analysis in Tromsø in June 2017 [SCIA 2017].

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