most citedAntifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

nlin.AO2020★ 16 cited

Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network

Hyobin Kim, Stalin Muñoz, Pamela Osuna +1

Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to com…