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Unraveling hidden interactions in complex systems with deep learning

Rich phenomena from complex systems have long intrigued researchers, and yet modeling system micro-dynamics and inferring the forms of interaction remain challenging for conventional data-driven approaches, being generally established by scientists with human ingenuity. In this study, we propose Age...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Ha, Seungwoong, Jeong, Hawoong
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8211832/
https://ncbi.nlm.nih.gov/pubmed/34140551
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-91878-w
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