期刊


刊名Nature Machine Intelligence
收藏年代2019～2024



全部

2019 2020 2021 2022 2023 2024

2023, vol.5, no.1 2023, vol.5, no.10 2023, vol.5, no.11 2023, vol.5, no.12 2023, vol.5, no.2 2023, vol.5, no.3
2023, vol.5, no.4 2023, vol.5, no.5 2023, vol.5, no.6 2023, vol.5, no.7 2023, vol.5, no.8 2023, vol.5, no.9

题名作者出版年年卷期
Language models and linguistic theories beyond wordsNature machine intelligence20232023, vol.5, no.7
Addressing the harms of AI-generated inauthentic contentFilippo Menczer; David Crandall; Yong-Yeol Ahn; Apu Kapadia20232023, vol.5, no.7
Navigating the development challenges in creating complex data systemsSoren Dittmer; Michael Roberts; Julian Gilbey; Ander Biguri; Jacobus Preller; James H. F. Rudd; John A. D. Aston; Carola-Bibiane Schonlieb; Ian Selby; Anna Breger; Matthew Thorpe; Jonathan R. Weir-McCall; Effrossyni Gkrania-Klotsas; Anna Korhonen; Emily Jefferson; Georg Langs; Guang Yang; Helmut Prosch; Jan Stanczuk; Jing Tang; Judith Babar; Lorena Escudero Sanchez; Philip Teare; Mishal Patel; Marcel Wassin; Markus Holzer; Nicholas Walton; Pietro Lio; Tolou Shadbahr; Evis Sala20232023, vol.5, no.7
The importance of resource awareness in artificial intelligence for healthcareZhenge Jia; Jianxu Chen; Xiaowei Xu; John Kheir; Jingtong Hu; Han Xiao; Sui Peng; Xiaobo Sharon Hu; Danny Chen; Yiyu Shi20232023, vol.5, no.7
Extrapolating heterogeneous time-series gene expression data using SagittariusAddie Woicik; Mingxin Zhang; Janelle Chan; Jianzhu Ma; Sheng Wang20232023, vol.5, no.7
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learningYudeng Lin; Qingtian Zhang; Bin Gao; Jianshi Tang; Peng Yao; Chongxuan Li; Shiyu Huang; Zhengwu Liu; Ying Zhou; Yuyi Liu; Wenqiang Zhang; Jun Zhu; He Qian; Huaqiang Wu20232023, vol.5, no.7
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentationHimashi Peiris; Munawar Hayat; Zhaolin Chen; Gary Egan20232023, vol.5, no.7
Hypergraph factorization for multi-tissue gene expression imputationRamon Vinas; Chaitanya K. Joshi; Dobrik Georgiev; Phillip Lin; Bianca Dumitrascu; Eric R. Gamazon; Pietro Lio20232023, vol.5, no.7
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug designHilbert Yuen In Lam; Robbe Pincket; Hao Han; Xing Er Ong; Zechen Wang; Jamie Hinks; Yanjie Wei; Weifeng Li; Liangzhen Zheng; Yuguang Mu20232023, vol.5, no.7
Encoding physics to learn reaction-diffusion processesChengping Rao; Pu Ren; Qi Wang; Oral Buyukozturk; Hao Sun; Yang Liu20232023, vol.5, no.7
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