Cristin-person-ID: 3636
Person

Aleksander Øhrn

  • Stilling:
    Professor
    ved Forskningsgruppen for språkteknologi ved Universitetet i Oslo

Resultater Resultater

R.ROSETTA: an interpretable machine learning framework.

Garbulowski, Mateusz; Diamanti, Klev; Smolińska, Karolina; Baltzer, Nicholas; Stoll, Patricia; Bornelöv, Susanne; Øhrn, Aleksander; Feuk, Lars; Komorowski, Jan. 2021, BMC Bioinformatics. Uu, ETHZ, USA, UOC, UIO, POLEN, SVERIGEVitenskapelig artikkel

Finding small high performance subsets of induced rule sets: Extended summary.

Ågotnes, Thomas; Komorowski, Jan; Øhrn, Aleksander. 1999, NTNU, HVLAnnet

Finding High Performance Subsets of Induced Rule Sets: Extended Summary.

Ågotnes, Thomas; Komorowski, Jan; Øhrn, Aleksander. 1999, [Mangler data]. NTNUVitenskapelig foredrag
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