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pro vyhledávání: '"Van Elslander, Esther"'
Autor:
Fidon, Lucas, Aertsen, Michael, Kofler, Florian, Bink, Andrea, David, Anna L., Deprest, Thomas, Emam, Doaa, Guffens, Frédéric, Jakab, András, Kasprian, Gregor, Kienast, Patric, Melbourne, Andrew, Menze, Bjoern, Mufti, Nada, Pogledic, Ivana, Prayer, Daniela, Stuempflen, Marlene, Van Elslander, Esther, Ourselin, Sébastien, Deprest, Jan, Vercauteren, Tom
Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, with labeling errors that violate expert knowledge. Such errors undermin
Externí odkaz:
http://arxiv.org/abs/2204.02779
Autor:
Fidon, Lucas, Aertsen, Michael, Deprest, Thomas, Emam, Doaa, Guffens, Frédéric, Mufti, Nada, Van Elslander, Esther, Schwartz, Ernst, Ebner, Michael, Prayer, Daniela, Kasprian, Gregor, David, Anna L., Melbourne, Andrew, Ourselin, Sébastien, Deprest, Jan, Langs, Georg, Vercauteren, Tom
Limiting failures of machine learning systems is of paramount importance for safety-critical applications. In order to improve the robustness of machine learning systems, Distributionally Robust Optimization (DRO) has been proposed as a generalizatio
Externí odkaz:
http://arxiv.org/abs/2001.02658
Akademický článek
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