Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data

Autor: Schelb, Julian, Ulloa, Roberto, Spitz, Andreas

Researchers in the political and social sciences often rely on classification models to analyze trends in information consumption by examining browsing histories of millions of webpages. Automated scalable methods are necessary due to the impractical

Externí odkaz: http://arxiv.org/abs/2407.16516

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Suicide by burns in women in the Distrito Federal, midwest of Brazil, from 2010 to 2015

Autor: Marcia Schelb, Maria Liz Cunha de Oliveira

Publikováno v: Revista Brasileira de Cirurgia Plástica, Vol 34, Iss 04, Pp 509-516 (2019)

Introduction: Suicide is a serious public health problem. For every death, there are an estimated 10 suicide attempts. Among the means of suicide, burns are prominent due to the lesion severity, the high mortality rate, and the severe functional, aes

Externí odkaz: https://doaj.org/article/2711e2420497405098e3f8d640823fc2

Obesidade e doença renal: aspectos fisiopatológicos

Autor: João Eduardo Schelb, Rogério Baumgratz de Paula, Danielle Guedes Andrade Ezequiel, Mônica Barros Costa

Publikováno v: HU Revista, Vol 44, Iss 2 (2019)

A epidemia de obesidade observada nas últimas décadas é acompanhada de aumento exponencial de doenças crônicas relacionadas, com destaque diabetes mellitus tipo 2, hipertensão arterial sistêmica, dislipidemia e doenças cardiovasculares. Do me

Externí odkaz: https://doaj.org/article/372ecbc6a9134ab6bbd5763a0e1059b0

Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.

Autor: Zhang KS; From the Division of Radiology, German Cancer Research Center (DKFZ)., Schelb P, Netzer N, Tavakoli AA; From the Division of Radiology, German Cancer Research Center (DKFZ)., Keymling M; From the Division of Radiology, German Cancer Research Center (DKFZ)., Wehrse E; From the Division of Radiology, German Cancer Research Center (DKFZ)., Hog R; From the Division of Radiology, German Cancer Research Center (DKFZ)., Rotkopf LT; From the Division of Radiology, German Cancer Research Center (DKFZ)., Wennmann M; From the Division of Radiology, German Cancer Research Center (DKFZ)., Glemser PA; From the Division of Radiology, German Cancer Research Center (DKFZ)., Thierjung H; From the Division of Radiology, German Cancer Research Center (DKFZ)., von Knebel Doeberitz N; From the Division of Radiology, German Cancer Research Center (DKFZ)., Kleesiek J, Görtz M, Schütz V; Department of Urology, University of Heidelberg Medical Center., Hielscher T; Division of Biostatistics, German Cancer Research Center (DKFZ)., Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center., Hohenfellner M; Department of Urology, University of Heidelberg Medical Center., Schlemmer HP, Maier-Hein K, Bonekamp D

Publikováno v: Investigative radiology [Invest Radiol] 2022 Sep 01; Vol. 57 (9), pp. 601-612. Date of Electronic Publication: 2022 Apr 21.