Login / Signup
Supervised contrastive learning over prototype-label embeddings for network intrusion detection.
Manuel López Martín
Antonio Sánchez-Esguevillas
Juan Ignacio Arribas
Belén Carro
Published in:
Inf. Fusion (2022)
Keyphrases
</>
network intrusion detection
learning algorithm
supervised learning
learning process
data sets
decision trees
model selection
unsupervised learning
anomaly detection
fraud detection
image segmentation
probabilistic model
text mining