Zobrazeno 1 - 10
of 4 547
pro vyhledávání: '"A. Becks"'
Publikováno v:
In Journal of the National Medical Association August 2024 116(4):403-409
Autor:
Becks, Henrik, Classen, Martin
Publikováno v:
In International Journal of Fatigue August 2024 185
Publikováno v:
In Engineering Structures 1 March 2024 302
Publikováno v:
In Procedia Structural Integrity 2024 64:1279-1286
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Poor generalization is one symptom of models that learn to predict target variables using spuriously-correlated image features present only in the training distribution instead of the true image features that denote a class. It is often thought that
Externí odkaz:
http://arxiv.org/abs/1910.00199
Autor:
van Leeuwen, K.G., Becks, M.J., Grob, D., de Lange, F., Rutten, J.H.E., Schalekamp, S., Rutten, M.J.C.M., van Ginneken, B., de Rooij, M., Meijer, F.J.A.
Publikováno v:
In Heliyon August 2023 9(8)
Autor:
Pantel, Jelena H., Becks, Lutz
Publikováno v:
In Trends in Ecology & Evolution August 2023 38(8):760-772
Deep learning techniques have proven high accuracy for identifying melanoma in digitised dermoscopic images. A strength is that these methods are not constrained by features that are pre-defined by human semantics. A down-side is that it is difficult
Externí odkaz:
http://arxiv.org/abs/1908.06612
With too few samples or too many model parameters, overfitting can inhibit the ability to generalise predictions to new data. Within medical imaging, this can occur when features are incorrectly assigned importance such as distinct hospital specific
Externí odkaz:
http://arxiv.org/abs/1904.07478