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刊名Nature Machine Intelligence
收藏年代2019～2023



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2019 2020 2021 2022 2023

2021, vol.3, no.1 2021, vol.3, no.10 2021, vol.3, no.11 2021, vol.3, no.12 2021, vol.3, no.2 2021, vol.3, no.3
2021, vol.3, no.4 2021, vol.3, no.5 2021, vol.3, no.6 2021, vol.3, no.7 2021, vol.3, no.8 2021, vol.3, no.9

题名作者出版年年卷期
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulationsBhatia, Harsh; Carpenter, Timothy S.; Ingolfsson, Helgi I.; Dharuman, Gautham; Karande, Piyush; Liu, Shusen; Oppelstrup, Tomas; Neale, Chris; Lightstone, Felice C.; Van Essen, Brian; Glosli, James N.; Bremer, Peer-Timo20212021, vol.3, no.5
A human in the loop in surgery automationFosch-Villaronga, Eduard; Khanna, Pranav; Drukarch, Hadassah; Custers, Bart H. M.20212021, vol.3, no.5
Neural network architecture search with AMBERZhang, Yi; Liu, Yang; Liu, X. Shirley20212021, vol.3, no.5
Towards universal translationCosta-jussa, Marta R.20212021, vol.3, no.5
Fitting elephants in modern machine learning by statistically consistent interpolationMitra, Partha P.20212021, vol.3, no.5
Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural networkTegin, Ugur; Dinc, Niyazi Ulas; Moser, Christophe; Psaltis, Demetri20212021, vol.3, no.5
How to be responsible in AI publication 20212021, vol.3, no.5
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devicesQiao, Rui; Tran, Ngoc Hieu; Xin, Lei; Chen, Xin; Li, Ming; Shan, Baozhen; Ghodsi, Ali20212021, vol.3, no.5
Dimensionality reduction to maximize prediction generalization capability (Apr, 10.1038/s42256-021-00306-1, 2021)Isomura, Takuya; Toyoizumi, Taro20212021, vol.3, no.5
An automated framework for efficiently designing deep convolutional neural networks in genomicsZhang, Zijun; Park, Christopher Y.; Theesfeld, Chandra L.; Troyanskaya, Olga G.20212021, vol.3, no.5
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