Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network.
Hyobin KimStalin MuñozPamela OsunaCarlos GershensonPublished in: Entropy (2020)
Keyphrases
- multi class classification
- biological networks
- convolutional neural network
- multi class
- biological systems
- gene expression
- biological data
- face detection
- graph mining
- link prediction
- support vector
- binary classification
- complex networks
- network analysis
- multi task learning
- protein protein interactions
- gene regulatory networks
- neural network
- microarray
- pattern mining
- random walk
- community detection
- data sets
- reinforcement learning
- association rules
- multi task
- community structure
- face recognition