Classification at the accuracy limit: facing the problem of data ambiguity.

Metzner, Claus; Schilling, Achim; Traxdorf, Maximilian; Tziridis, Konstantin; Maier, Andreas; Schulze, Holger; Krauss, Patrick

Metzner, Claus; Schilling, Achim; Traxdorf, Maximilian; Tziridis, Konstantin; Maier, Andreas; Schulze, Holger; Krauss, Patrick.

Affiliation

Metzner C; Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany.
Schilling A; Biophysics Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Traxdorf M; Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany.
Tziridis K; Cognitive Computational Neuroscience Group, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Maier A; Department of Otorhinolaryngology, Head and Neck Surgery, Paracelsus Medical University, Nuremberg, Germany.
Schulze H; Neuroscience Lab, University Hospital Erlangen, Erlangen, Germany.
Krauss P; Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Sci Rep ; 12(1): 22121, 2022 12 21.

Article de En | MEDLINE | ID: mdl-36543849

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Sci Rep Année: 2022 Type de document: Article Pays d'affiliation: Allemagne

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