Evaluating the robustness of ML models to out-of-distribution data through similarity analysis
author
Lindén, Joakim
Forsberg, Håkan
Daneshtalab, Masoud
Söderquist, Ingemar
statement of authorship
Joakim Lindén, Håkan Forsberg, Masoud Daneshtalab & Ingemar Söderquist
source
New Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings
location of publication
Cham
publisher
Springer Nature
year of publication
2023
pages
p. 348 - 359
series
Communications in computer and information science ; 1850
conference name, date
27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, 4-7 September 2023
conference location
Barcelona, Spain
url
https://doi.org/10.1007/978-3-031-42941-5_30
subject term
andmekogud
tehisnärvivõrgud
tehisõpe
keyword
accuracy estimation
datasets
neural networks
similarity metrics
ISSN
1865-0929
ISBN
978-303142940-8
notes
Bibliogr.: 20 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise