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Shinjae Yoo
Shinjae Yoo
Dirección de correo verificada de bnl.gov - Página principal
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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
11122018
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
1912015
Third-generation sequencing and the future of genomics
H Lee, J Gurtowski, S Yoo, M Nattestad, S Marcus, S Goodwin, ...
BioRxiv, 048603, 2016
1712016
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
1682019
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
1662020
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
1532009
Quantum long short-term memory
SYC Chen, S Yoo, YLL Fang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
1262022
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
1212014
Federated quantum machine learning
SYC Chen, S Yoo
Entropy 23 (4), 460, 2021
1142021
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
992022
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
982019
Machine-learning X-ray absorption spectra to quantitative accuracy
MR Carbone, M Topsakal, D Lu, S Yoo
Physical review letters 124 (15), 156401, 2020
952020
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
952020
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
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
802013
The DOE systems biology knowledgebase (KBase)
AP Arkin, RL Stevens, RW Cottingham, S Maslov, CS Henry, P Dehal, ...
BioRxiv, 096354, 2016
782016
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
742018
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
732021
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
722021
Visual detection with context for document layout analysis
C Soto, S Yoo
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
722019
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Artículos 1–20