• Semi-supervised target classification in multi-frequency echosounder data 

  Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert (Journal article; Peer reviewed, 2021)

  Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem ...

• Global blood gene expression profiles following a breast cancer diagnosis—Clinical follow-up in the NOWAC post-genome cohort 

  Olsen, Karina Standahl; Holden, Marit; Thalabard, Jean-Christophe; Busund, Lill-Tove Rasmussen; Lund, Eiliv; Holden, Lars (Peer reviewed; Journal article, 2021)

• Movement acts in breakdown situations: How a robot's recovery procedure affects participants' opinions 

  Schulz, Trenton Wade; Soma, Rebekka; Holthaus, Patrick (Journal article; Peer reviewed, 2021)

  Recovery procedures are targeted at correcting issues encountered by robots. What are people’s opinions of a robot during these recovery procedures? During an experiment that examined how a mobile robot moved, the robot ...

• Integrating the world of presence theory: Illusion, pretence, attending, and pretending 

  Waterworth, John A.; Tjøstheim, Ingvar (Others, 2021)

• skweak: Weak Supervision Made Easy for NLP 

  Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr (Chapter, 2021)

  We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machine learning paradigm based on a simple idea: ...

View more