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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211832/ https://www.ncbi.nlm.nih.gov/pubmed/34140551 http://dx.doi.org/10.1038/s41598-021-91878-w |