Blar i NTNU Open på forfatter "Haug, Martin Lund"
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Applying active learning techniques in machine learning to minimize labeling effort
Haug, Martin Lund (Master thesis, 2021)De mest fremtredende maskinlæringsmetodene (ML) for klassifisering er avhengige av en enorm mengde annotert data for å utvikle og trene nevrale nettverk til å utføre klassifisering så nøyaktig som mulig. Med den komplekse ... -
CIRAL: a hybrid active learning framework for plankon taxa labeling
Haug, Martin Lund; Saad, Aya; Stahl, Annette (Journal article; Peer reviewed, 2021)With the complex structure of planktonic species and an immense amount of data captured from autonomous underwater vehicles (AUVs), a large burden is placed on the domain experts for plankton taxa labeling. At the same ... -
A combined informative and representative active learning approach for plankton taxa labeling
Haug, Martin Lund; Saad, Aya; Stahl, Annette (Peer reviewed; Journal article, 2021)With an ever-increasing amount of image data, the manual labeling process has become the bottleneck in many machine learning applications. Plankton taxa labeling is especially a challenge due to its complex nature, and the ...