A paper of Eungi Hong, Ph.D student of IILAB, entitled by “Latent Feature Decentralization Loss for One-Class Anomaly Detection” was published in IEEE Access, Vol.8, 2020.
IEEE Access is an on-line access journal of IEEE, which is designed for rapid publication of papers in rapidly developing areas such as AI. Currently, this journal is rated as JCR2019: Q1, IF: 3.745 as one of the world widely renown first class journal.