Catastrophic forgetting.

<p>The effect of catastrophic forgetting investigated (n = 3) using four different training scenarios involving images from original domain (North Sea) and the new domain (Baltic Sea). (A) training set with purely old domain images (B) mixed training set with 33.3% new and 66.7% old images (C)...

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Bibliographic Details
Main Author:	Arjay Cayetano (20150181) (author)
Other Authors:	Christoph Stransky (14050964) (author), Andreas Birk (20284906) (author), Thomas Brey (438722) (author)
Published:	2024
Subjects:	Genetics Biotechnology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified routine stock assessment fish population dynamics different advanced concepts attain satisfactory accuracy minimize human bias interactive website housing based approaches based new explainable ai interactive ai based methods human experts many ai ai training ai ). transfer learning traditionally obtained recently published platform presented modern methods mask r machine learning important aspect ensemble learning early implementations driven platform directly involved direct compatibility designed utilizing continual learning concerns regarding artificial intelligence age estimates additional use
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Catastrophic forgetting.

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