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pro vyhledávání: '"AUC-ROC"'
Area Under the Receiver Operating Characteristic Curve (AUC-ROC) is a popular evaluation metric for binary classifiers. In this paper, we discuss techniques to segment the AUC-ROC along human-interpretable dimensions. AUC-ROC is not an additive/linea
Externí odkaz:
http://arxiv.org/abs/2205.11781
Autor:
Huisman M; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands. Merel.huisman@radboudumc.nl.
Publikováno v:
European radiology [Eur Radiol] 2024 Dec; Vol. 34 (12), pp. 7892-7894. Date of Electronic Publication: 2024 Jun 24.
Akademický článek
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Autor:
Murty, Patnala S. R. Chandra1 (AUTHOR), Anuradha, Chinta2 (AUTHOR), Naidu, P. Appala3 (AUTHOR), Mandru, Deenababu4 (AUTHOR), Ashok, Maram5 (AUTHOR), Atheeswaran, Athiraja6 (AUTHOR), Rajeswaran, Nagalingam7 (AUTHOR), Saravanan, V.8 (AUTHOR) saravanan@dadu.edu.et
Publikováno v:
Scientific Reports. 11/1/2024, Vol. 14 Issue 1, p1-41. 41p.
Autor:
Xinyi Jiang1,2, Ziyun Li3, Chixing Pan3, Heng Fang4, Wang Xu2, Zeling Chen2, Junjiang Zhu2, Linling He5, Miaoxian Fang2, Chunbo Chen1,2,5 gghccm@163.com
Publikováno v:
Journal of Medical Biochemistry. Jul/Aug2024, Vol. 43 Issue 4, p574-586. 13p.
Publikováno v:
International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :250-260
Software bug prediction is the process of identifying software modules that are likely to have bugs by using some fundamental project resources before the real testing starts. Due to high cost in correcting the detected bugs, it is advisable to start
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88387258cb0729ebb9081348e5a0a021
https://doi.org/10.32628/cseit2390143
https://doi.org/10.32628/cseit2390143
Autor:
Patnala S. R. Chandra Murty, Chinta Anuradha, P. Appala Naidu, Deenababu Mandru, Maram Ashok, Athiraja Atheeswaran, Nagalingam Rajeswaran, V. Saravanan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-41 (2024)
Abstract The objective of this investigation was to improve the diagnosis of breast cancer by combining two significant datasets: the Wisconsin Breast Cancer Database and the DDSM Curated Breast Imaging Subset (CBIS-DDSM). The Wisconsin Breast Cancer
Externí odkaz:
https://doaj.org/article/d3a38df0983f4dc690bce17c14208bf4
Publikováno v:
Actes CNIA 2021
CNIA 2021 : Conférence Nationale en Intelligence Artificielle
CNIA 2021 : Conférence Nationale en Intelligence Artificielle, Jun 2021, Bordeaux (en ligne), France. pp 68-75
CNIA 2021 : Conférence Nationale en Intelligence Artificielle
CNIA 2021 : Conférence Nationale en Intelligence Artificielle, Jun 2021, Bordeaux (en ligne), France. pp 68-75
International audience; Machine Learning applied to never-ending data streams has unique resource-consumption constraints that require processing one data-point at a time without storing. Much research has been devoted to develop algorithms that lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::521f2bb1e681f05ad57d5313e9c9b101
https://hal.archives-ouvertes.fr/hal-03321231/document
https://hal.archives-ouvertes.fr/hal-03321231/document
Autor:
García Marín, Darlyn Juranny1 djgarciam@eafit.edu.co, García Zea, Jerson Alexander1 jagarciaz2@eafit.edu.co
Publikováno v:
Revista Colombiana de Ciencias Químico-Farmacéuticas. 2024, Vol. 53 Issue 2, p354-384. 31p.
Autor:
Katona, Tamás1,2 (AUTHOR) harangi.balazs@inf.unideb.hu, Tóth, Gábor3 (AUTHOR) tothgab@med.unideb.hu, Petró, Mátyás4 (AUTHOR), Harangi, Balázs2 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Mar2024, Vol. 12 Issue 6, p806. 16p.