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Crowdsourcing with Difficulty: A Bayesian Rating Model for Heterogeneous Items

Autor: Han, Seong Woo, Adıgüzel, Ozan, Carpenter, Bob

In applied statistics and machine learning, the "gold standards" used for training are often biased and almost always noisy. Dawid and Skene's justifiably popular crowdsourcing model adjusts for rater (coder, annotator) sensitivity and specificity, b

Externí odkaz: http://arxiv.org/abs/2405.19521

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Akademický článek

The effects of resistance training on cardiovascular factors and anti-inflammation in diabetic rats

Autor: Jin Yoo, Jinsu Hwang, Jiyun Choi, Mahesh Ramalingam, Haewon Jeong, Sujeong Jang, Han-Seong Jeong, Daeyeol Kim

Publikováno v: Heliyon, Vol 10, Iss 17, Pp e37081- (2024)

Diabetes induces a range of macrovascular and microvascular changes, which lead to significant clinical complications. Although many studies have tried to solve the diabetic problem using drugs, it remains unclear. In this study, we investigated whet

Externí odkaz: https://doaj.org/article/dd9769b592a4488982c16a6d16c4a8a7

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Akademický článek

Glomerulonephritis following COVID-19 infection or vaccination: a multicenter study in South Korea

Autor: Hyung Woo Kim, Eun Hwa Kim, Yun Ho Roh, Young Su Joo, Minseob Eom, Han Seong Kim, Mi Seon Kang, HoeIn Jeong, Beom Jin Lim, Seung Hyeok Han, Minsun Jung

Publikováno v: Kidney Research and Clinical Practice, Vol 43, Iss 2, Pp 165-176 (2024)

Background Despite the widespread impact of the severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019, COVID-19) and vaccination in South Korea, our understanding of kidney diseases following these events remains limited. We aimed

Externí odkaz: https://doaj.org/article/23bcf06bd826479e8cd94d76c928b68d

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