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期刊


刊名Nature Machine Intelligence
收藏年代2019～2024



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2019 2020 2021 2022 2023 2024

2024, vol.6, no.1 2024, vol.6, no.2 2024, vol.6, no.3 2024, vol.6, no.4 2024, vol.6, no.5

题名作者出版年年卷期
AI protein shake-upNature Machine Intelligence20242024, vol.6, no.2
What comparing deep neural networks can teach us about human visionKatja Seeliger; Martin N. Hebart20242024, vol.6, no.2
Neural multi-task learning in drug designStephan Allenspach; Jan A. Hiss; Gisbert Schneider20242024, vol.6, no.2
A causal perspective on dataset bias in machine learning for medical imagingCharles Jones; Daniel C. Castro; Fabio De Sousa Ribeiro; Ozan Oktay; Melissa McCradden; Ben Glocker20242024, vol.6, no.2
Variational autoencoder for design of synthetic viral vector serotypesSuyue Lyu; Shahin Sowlati-Hashjin; Michael Garton20242024, vol.6, no.2
Leveraging large language models for predictive chemistryKevin Maik Jablonka; Philippe Schwaller; Andres Ortega-Guerrero; Berend Smit20242024, vol.6, no.2
Codon language embeddings provide strong signals for use in protein engineeringCarlos Outeiral; Charlotte M. Deane20242024, vol.6, no.2
Weak signal extraction enabled by deep neural network denoising of diffraction dataJens Oppliger; M. Michael Denner; Julia Kuspert; Ruggero Frison; Qisi Wang; Alexander Morawietz; Oleh Ivashko; Ann-Christin Dippel; Martin von Zimmermann; Izabela Bialo; Leonardo Martinelli; Benoit Fauque; Jaewon Choi; Mirian Garcia-Fernandez; Ke-Jin Zhou; Niels Bech Christensen; Tohru Kurosawa; Naoki Momono; Migaku Oda; Fabian D. Natterer; Mark H. Fischer; Titus Neupert; Johan Chang20242024, vol.6, no.2
Mitigating allocative tradeoffs and harms in an environmental justice data toolBenjamin Q. Huynh; Elizabeth T. Chin; Allison Koenecke; Derek Ouyang; Daniel E. Ho; Mathew V. Kiang; David H. Rehkopf20242024, vol.6, no.2
State-specific protein-ligand complex structure prediction with a multiscale deep generative modelZhuoran Qiao; Weili Nie; Arash Vahdat; Thomas F. Miller III; Animashree Anandkumar20242024, vol.6, no.2
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