MIMA group focuses mainly on machine intelligence research. Most of the research aims at theoretical/methodological advances, while also applied machine intelligence research is carried out.
The current methodological focus areas include imbalanced and fine-grained image classification, domain adaptation, uncertainty estimation, and multi-modal learning.
At the moment, the most active application area is automatic environmental monitoring, in particular different challenges in benthic macroinvertebrate identification and using environmental DNA or DNA barcoding jointly with image data. Research in sports video analysis, sleep analysis via brain signals, and heart signal analysis for dogs have been recently started. Former topics and future plans include machine learning applications for autonomous systems and image archive analysis for humanities. We are open to collaborate also on new topics.
We are open to work and collaborate also on new methodological challenges and/or application areas.
