期刊


刊名Nature Machine Intelligence
收藏年代2019～2024



全部

2019 2020 2021 2022 2023 2024

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
Research community dynamics behind popular AI benchmarksMartinez-Plumed, Fernando; Barredo, Pablo; Heigeartaigh, Sean O.; Hernandez-Orallo, Jose20212021, vol.3, no.7
Improved protein structure prediction by deep learning irrespective of co-evolution informationXu, Jinbo; McPartlon, Matthew; Li, Jin20212021, vol.3, no.7
Segmentation of neurons from fluorescence calcium recordings beyond real timeBao, Yijun; Soltanian-Zadeh, Somayyeh; Farsiu, Sina; Gong, Yiyang20212021, vol.3, no.7
AI for radiographic COVID-19 detection selects shortcuts over signalDeGrave, Alex J.; Janizek, Joseph D.; Lee, Su-In20212021, vol.3, no.7
Modular deep learning enables automated identification of monoclonal cell linesFischbacher, Brodie; Hedaya, Sarita; Hartley, Brigham J.; Wang, Zhongwei; Lallos, Gregory; Hutson, Dillion; Zimmer, Matthew; Brammer, Jacob; Paull, Daniel20212021, vol.3, no.7
Improving performance of deep learning models with axiomatic attribution priors and expected gradientsJanizek, Joseph D.; Sturmfels, Pascal; Lundberg, Scott M.; Erion, Gabriel; Lee, Su-In20212021, vol.3, no.7
Back to the future with machine learning (vol 3, pg 464, 2021)Korsunska, Ania; Fajgenbaum, David C.20212021, vol.3, no.7
Reusability report: Compressing regulatory networks to vectors for interpreting gene expression and genetic variantsZeng, Wanwen; Xin, Jingxue; Jiang, Rui; Wang, Yong20212021, vol.3, no.7
Machine learning and computation-enabled intelligent sensor designBallard, Zachary; Brown, Calvin; Ozcan, Aydogan; Madni, Asad M.20212021, vol.3, no.7
Reusability report: Learning the language of synthetic methods used in medicinal chemistryJanet, Jon Paul; Tomberg, Anna; Bostrom, Jonas20212021, vol.3, no.7
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