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Yonghwa Choi
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2020 – today
- 2023
- [j10]Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney:
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. J. Am. Medical Informatics Assoc. 31(1): 35-44 (2023) - 2022
- [j9]Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang:
BERN2: an advanced neural biomedical named entity recognition and normalization tool. Bioinform. 38(20): 4837-4839 (2022) - [i2]Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang:
BERN2: an advanced neural biomedical named entity recognition and normalization tool. CoRR abs/2201.02080 (2022) - 2020
- [c5]Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang:
Answering Questions on COVID-19 in Real-Time. NLP4COVID@EMNLP 2020 - [i1]Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang:
Answering Questions on COVID-19 in Real-Time. CoRR abs/2006.15830 (2020)
2010 – 2019
- 2019
- [j8]Donghyeon Park, Yonghwa Choi, Daehan Kim, Minhwan Yu, Seongsoon Kim, Jaewoo Kang:
Can Machines Learn to Comprehend Scientific Literature? IEEE Access 7: 16246-16256 (2019) - [j7]Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang:
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining. IEEE Access 7: 73729-73740 (2019) - [j6]Minji Jeon, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Sunkyu Kim, Yonghwa Choi, Aik Choon Tan, Jaewoo Kang:
ReSimNet: drug response similarity prediction using Siamese neural networks. Bioinform. 35(24): 5249-5256 (2019) - 2018
- [j5]Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Won-Ho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang:
Deep learning of mutation-gene-drug relations from the literature. BMC Bioinform. 19(1): 21:1-21:13 (2018) - 2016
- [j4]Kyubum Lee, Won-Ho Shin, Byounggun Kim, Sunwon Lee, Yonghwa Choi, Sunkyu Kim, Minji Jeon, Aik Choon Tan, Jaewoo Kang:
HiPub: translating PubMed and PMC texts to networks for knowledge discovery. Bioinform. 32(18): 2886-2888 (2016) - [c4]Jukyoung Lee, Yonghwa Choi, Suhkyung Kim, Seongsoon Kim, Jaewoo Kang:
SEMO: Searching Majority Opinions on Movies using SNS QA Threads. WWW (Companion Volume) 2016: 219-222 - 2015
- [j3]Sangwook Kim, Yonghwa Choi, Minho Lee:
Deep learning with support vector data description. Neurocomputing 165: 111-117 (2015) - 2014
- [j2]Yonghwa Choi, Seiichi Ozawa, Minho Lee:
Incremental two-dimensional kernel principal component analysis. Neurocomputing 134: 280-288 (2014) - [c3]Bumhwi Kim, Yonghwa Choi, Minho Lee:
Embedded face recognition system considers human eye gaze using glass-type platform. ICCE 2014: 357-358 - 2013
- [j1]Biho Kim, Yonghwa Choi, Minho Lee, Hyung-Min Park:
Compressed sensing with MCT and I(2D)2PCA processing for efficient face recognition. Int. J. Imaging Syst. Technol. 23(2): 133-139 (2013) - [c2]Yonghwa Choi, Sungmoon Jeong, Minho Lee:
Feature Selection for HOG Descriptor Based on Greedy Algorithm. ICONIP (3) 2013: 417-424 - 2011
- [c1]Yonghwa Choi, Takaomi Tokumoto, Minho Lee, Seiichi Ozawa:
Incremental two-dimensional two-directional principal component analysis (I(2D)2PCA) for face recognition. ICASSP 2011: 1493-1496
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