Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Miyoung Ko"'
Autor:
Zhaoping Xiong, Minji Jeon, Robert J Allaway, Jaewoo Kang, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Hualiang Jiang, Mingyue Zheng, Aik Choon Tan, Xindi Guo, Multi-Targeting Drug DREAM Challenge Community, Kristen K Dang, Alex Tropsha, Chana Hecht, Tirtha K Das, Heather A Carlson, Ruben Abagyan, Justin Guinney, Avner Schlessinger, Ross Cagan
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009302 (2021)
A continuing challenge in modern medicine is the identification of safer and more efficacious drugs. Precision therapeutics, which have one molecular target, have been long promised to be safer and more effective than traditional therapies. This appr
Externí odkaz:
https://doaj.org/article/760d14f1687d40cc99f25eb1a90cecb7
Publikováno v:
Atmosphere, Vol 11, Iss 9, p 948 (2020)
Nitrous oxide (N2O) is a powerful greenhouse gas and is the largest remaining anthropogenic source of stratospheric ozone-depleting substances as halocarbons return towards preindustrial levels. To verify the N2O emission inventory using inverse anal
Externí odkaz:
https://doaj.org/article/308390832ca24e3ba6cea0e4d15c0ab4
Autor:
Minji Jeon, Justin Guinney, Zhaoping Xiong, Donghyeon Park, Jinhyuk Lee, Robert J. Allaway, Heather A. Carlson, Ruben Abagyan, Tirtha K. Das, Chana Hecht, Hwisang Jeon, Xindi Guo, Miyoung Ko, Aik Choon Tan, Alexander Tropsha, Jaewoo Kang, Multi-Targeting Drug Dream Challenge Community, Ross L. Cagan, Kristen K. Dang, Mingyue Zheng, Hualiang Jiang, Avner Schlessinger
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009302 (2021)
PLoS computational biology, vol 17, iss 9
PLoS Computational Biology
PLoS computational biology, vol 17, iss 9
PLoS Computational Biology
A continuing challenge in modern medicine is the identification of safer and more efficacious drugs. Precision therapeutics, which have one molecular target, have been long promised to be safer and more effective than traditional therapies. This appr
Autor:
Jaewoo Kang, Wonjin Yoon, Yonghwa Choi, Minbyul Jeong, Jinhyuk Lee, Miyoung Ko, Sean S. Yi, Mujeen Sung
Publikováno v:
NLP4COVID@EMNLP
The recent outbreak of the novel coronavirus is wreaking havoc on the world and researchers are struggling to effectively combat it. One reason why the fight is difficult is due to the lack of information and knowledge. In this work, we outline our e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aab551ef8b0b8e0d5a02777c98f6acf
http://arxiv.org/abs/2006.15830
http://arxiv.org/abs/2006.15830
Publikováno v:
EMNLP (1)
Many extractive question answering models are trained to predict start and end positions of answers. The choice of predicting answers as positions is mainly due to its simplicity and effectiveness. In this study, we hypothesize that when the distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0b9f31afb660b6db2aaef998c5d215
Publikováno v:
SIGIR
With the growing importance of personalized recommendation, numerous recommendation models have been proposed recently. Among them, Matrix Factorization (MF) based models are the most widely used in the recommendation field due to their high performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a613fccc4764cdb349442ac55355cf4b
http://arxiv.org/abs/1905.13130
http://arxiv.org/abs/1905.13130
Publikováno v:
EMNLP
Recently, open-domain question answering (QA) has been combined with machine comprehension models to find answers in a large knowledge source. As open-domain QA requires retrieving relevant documents from text corpora to answer questions, its perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b46df313df4ca16cb1cbef364f0649
http://arxiv.org/abs/1810.00494
http://arxiv.org/abs/1810.00494
Autor:
Donghyeon Park, Hwisang Jeon, Yonghwa Choi, Miyoung Ko, Minji Jeon, Jinhyuk Lee, Sunkyu Kim, Aik Choon Tan, Jaewoo Kang
Publikováno v:
Bioinformatics (Oxford, England). 35(24)
Motivation Traditional drug discovery approaches identify a target for a disease and find a compound that binds to the target. In this approach, structures of compounds are considered as the most important features because it is assumed that similar
Publikováno v:
IJCAI
Personal names tend to have many variations differing from country to country. Though there exists a large amount of personal names on the Web, nationality prediction solely based on names has not been fully studied due to its difficulties in extract