TY  - JOUR 
AU  - Lopez-Martin, Manuel
AU  - Sánchez-Esguevillas, Antonio
AU  - Arribas, Juan Ignacio
AU  - Carro, Belen
PY  - 2022
SN  - 1566-2535
UR  - http://hdl.handle.net/10366/154669
AB  - Contrastive learning makes it possible to establish similarities between samples by comparing their distances in an intermediate representation space (embedding space) and using loss functions designed to attract/repel similar/dissimilar samples. The...
LA  - eng
KW  - Label embedding
KW  - contrastive learning
KW  - Max margin loss
KW  - Deep learning
KW  - Embeddings fusion
KW  - Network intrusion detection
TI  - Supervised contrastive learning over prototype-label embeddings for network intrusion detection
DO  - 10.1016/j.inffus.2021.09.014
T2  - Information Fusion
VL  - 79
M2  - 200
ER  -