Shinjae Yoo
Shinjae Yoo
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Cited by
Cited by
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
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
Third-generation sequencing and the future of genomics
H Lee, J Gurtowski, S Yoo, M Nattestad, S Marcus, S Goodwin, ...
BioRxiv, 048603, 2016
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
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
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
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
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
Federated quantum machine learning
SYC Chen, S Yoo
Entropy 23 (4), 460, 2021
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
Quantum long short-term memory
SYC Chen, S Yoo, YLL Fang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
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
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
The DOE systems biology knowledgebase (KBase)
AP Arkin, RL Stevens, RW Cottingham, S Maslov, CS Henry, P Dehal, ...
BioRxiv, 096354, 2016
Machine-learning X-ray absorption spectra to quantitative accuracy
MR Carbone, M Topsakal, D Lu, S Yoo
Physical review letters 124 (15), 156401, 2020
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
Visual detection with context for document layout analysis
C Soto, S Yoo
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
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
Robustness of adaptive filtering methods in a cross-benchmark evaluation
Y Yang, S Yoo, J Zhang, B Kisiel
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
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
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