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Shinjae Yoo
Shinjae Yoo
Verified email at bnl.gov - Homepage
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Cited by
Year
KBase: the United States department of energy systems biology knowledgebase
AP Arkin, RW Cottingham, CS Henry, NL Harris, RL Stevens, S Maslov, ...
Nature biotechnology 36 (7), 566-569, 2018
10782018
3D cloud detection and tracking system for solar forecast using multiple sky imagers
Z Peng, D Yu, D Huang, J Heiser, S Yoo, P Kalb
Solar Energy 118, 496-519, 2015
1892015
Third-generation sequencing and the future of genomics
H Lee, J Gurtowski, S Yoo, M Nattestad, S Marcus, S Goodwin, ...
BioRxiv, 048603, 2016
1732016
Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19
A Acharya, R Agarwal, MB Baker, J Baudry, D Bhowmik, S Boehm, ...
Journal of chemical information and modeling 60 (12), 5832-5852, 2020
1602020
Mining social networks for personalized email prioritization
S Yoo, Y Yang, F Lin, IC Moon
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
1562009
Detector tomography on IBM quantum computers and mitigation of an imperfect measurement
Y Chen, M Farahzad, S Yoo, TC Wei
Physical Review A 100 (5), 052315, 2019
1492019
Error correction and assembly complexity of single molecule sequencing reads
H Lee, J Gurtowski, S Yoo, S Marcus, WR McCombie, M Schatz
BioRxiv, 006395, 2014
1222014
Quantum long short-term memory
SYC Chen, S Yoo, YLL Fang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
1192022
Federated quantum machine learning
SYC Chen, S Yoo
Entropy 23 (4), 460, 2021
1132021
Quantum convolutional neural networks for high energy physics data analysis
SYC Chen, TC Wei, C Zhang, H Yu, S Yoo
Physical Review Research 4 (1), 013231, 2022
982022
Classification of local chemical environments from x-ray absorption spectra using supervised machine learning
MR Carbone, S Yoo, M Topsakal, D Lu
Physical Review Materials 3 (3), 033604, 2019
952019
Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data
JH Park, HE Cho, JH Kim, MM Wall, Y Stern, H Lim, S Yoo, HS Kim, J Cha
NPJ digital medicine 3 (1), 46, 2020
942020
Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
942017
Machine-learning X-ray absorption spectra to quantitative accuracy
MR Carbone, M Topsakal, D Lu, S Yoo
Physical review letters 124 (15), 156401, 2020
892020
Cloud motion estimation for short term solar irradiation prediction
H Huang, J Xu, Z Peng, S Yoo, D Yu, D Huang, H Qin
2013 IEEE International Conference on Smart Grid Communications …, 2013
822013
The DOE systems biology knowledgebase (KBase)
AP Arkin, RL Stevens, RW Cottingham, S Maslov, CS Henry, P Dehal, ...
BioRxiv, 096354, 2016
792016
Extreme heterogeneity 2018-productive computational science in the era of extreme heterogeneity: Report for DOE ASCR workshop on extreme heterogeneity
JS Vetter, R Brightwell, M Gokhale, P McCormick, R Ross, J Shalf, ...
USDOE Office of Science (SC), Washington, DC (United States), 2018
732018
Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC
SL Wu, S Sun, W Guan, C Zhou, J Chan, CL Cheng, T Pham, Y Qian, ...
Physical Review Research 3 (3), 033221, 2021
722021
Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and …
SL Wu, J Chan, W Guan, S Sun, A Wang, C Zhou, M Livny, F Carminati, ...
Journal of Physics G: Nuclear and Particle Physics 48 (12), 125003, 2021
702021
Visual detection with context for document layout analysis
C Soto, S Yoo
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
692019
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Articles 1–20