Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Hwanjo, Yu"'
Autor:
Yosep Chong, Nishant Thakur, Ji Young Lee, Gyoyeon Hwang, Myungjin Choi, Yejin Kim, Hwanjo Yu, Mee Yon Cho
Publikováno v:
Diagnostic Pathology, Vol 16, Iss 1, Pp 1-9 (2021)
Abstract Background Immunohistochemistry (IHC) remains the gold standard for the diagnosis of pathological diseases. This technique has been supporting pathologists in making precise decisions regarding differential diagnosis and subtyping, and in cr
Externí odkaz:
https://doaj.org/article/06f295b76bd145aa9e27ab1429640c3b
Autor:
Yosep Chong, Ji Young Lee, Yejin Kim, Jingyun Choi, Hwanjo Yu, Gyeongsin Park, Mee Yon Cho, Nishant Thakur
Publikováno v:
Journal of Pathology and Translational Medicine, Vol 54, Iss 6, Pp 462-470 (2020)
Background Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task in
Externí odkaz:
https://doaj.org/article/ed8cd2d6ee5a4692b281abe7438f75d5
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study them. Computational phenotyping offers a promising way to convert the sparse and compl
Externí odkaz:
https://doaj.org/article/eb52f415b71f4e03ab764d27896a50a6
Publikováno v:
Information Sciences. 611:225-242
Recent recommender systems have shown remarkable performance by using an ensemble of heterogeneous models. However, it is exceedingly costly because it requires resources and inference latency proportional to the number of models, which remains the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc823c5f833cd1a039b24697f9e5f56
http://arxiv.org/abs/2303.01130
http://arxiv.org/abs/2303.01130
Publikováno v:
Information Sciences. 580:15-34
Recent recommender system (RS) have adopted large and sophisticated model architecture to better understand the complex user-item relationships, and accordingly, the size of the recommender is continuously increasing. To reduce the high inference cos
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:681-684
Providing a convenient mechanism for accessing the Internet, smartphones have led to the rapid growth of Social Networking Services (SNSs) such as Twitter and have served as a major platform for SNSs. Nowadays, people are able to check conveniently t
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0197518 (2018)
Several studies have been conducted to evaluate the efficacy of statins in Korean and Asian patients. However, most previous studies only observed the percent reduction in low-density lipoprotein cholesterol (LDL-C) and did not consider the effects o
Externí odkaz:
https://doaj.org/article/69aa5c9cb5c4440893f6e7e121f9019e
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Publikováno v:
Information Sciences. 545:595-607
Review-based recommender systems represent users and items with reviews associated with them. As such, the recommender systems are highly dependent on the number of reviews, which is usually few in number. Thus, they produce inaccurate recommendation