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pro vyhledávání: '"Inggeol Lee"'
Autor:
Thomas Schaffter, Justin Guinney, Renata Retkute, J.H. Choe, Sean D. Mooney, Łukasz Charzewski, Guanhua Chen, Ivan Brugere, Augustinas Prusokas, Justin Prosser, Alidivinas Prusokas, Jifan Gao, Yao Yan, Sang Hoon Lee, Zofia Nawalany, Inggeol Lee, Sunkyu Kim, Timothy Bergquist, Thomas Yu, Jaewoo Kang, Yonghwa Choi
Applications of machine learning in healthcare are of high interest and have the potential to significantly improve patient care. Yet, the real-world accuracy and performance of these models on different patient subpopulations remains unclear. To add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc4aea7db1477008643afd45d90cfe0d
https://doi.org/10.1101/2021.01.18.21250072
https://doi.org/10.1101/2021.01.18.21250072
Publikováno v:
EACL
Several machine learning-based spoiler detection models have been proposed recently to protect users from spoilers on review websites. Although dependency relations between context words are important for detecting spoilers, current attention-based s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b1ab7180d3e9ccc39f51cec4988286
Publikováno v:
Bioinformatics
Motivation Recent advances in deep learning have offered solutions to many biomedical tasks. However, there remains a challenge in applying deep learning to survival analysis using human cancer transcriptome data. As the number of genes, the input va