期刊


刊名Nature Machine Intelligence
收藏年代2019～2024



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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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