SelfMatch: Robust semisupervised time‐series classification with self‐distillation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22957
Abstract: Over the years, a number of semisupervised deep‐learning algorithms have been proposed for time‐series classification (TSC). In semisupervised deep learning, from the point of view of representation hierarchy, semantic information extracted from lower levels is… read more here.
Keywords: semantic information; time series; selfmatch; robust semisupervised ... See more keywords
Robust Semisupervised Federated Learning for Images Automatic Recognition in Internet of Drones
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151945
Abstract: Air access networks have been recognized as a significant driver of various Internet of Things (IoT) services and applications. In particular, the aerial computing network infrastructure centered on the Internet of Drones has set off… read more here.
Keywords: recognition; federated learning; semisupervised federated; image recognition ... See more keywords
Robust Semisupervised Deep Generative Model Under Compound Noise.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3105080
Abstract: Semisupervised learning has been widely applied to deep generative model such as variational autoencoder. However, there are still limited work in noise-robust semisupervised deep generative model where the noise exists in both of the data… read more here.
Keywords: semisupervised deep; deep generative; variational autoencoder; generative model ... See more keywords