SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection

1 August 2023

Papers citing "SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection"

2 / 2 papers shown

Title
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 501 0 15 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015