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Found 5 papers, 1 papers with code
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Federated learning (FL) is recently surging as a promising decentralized deep learning (DL) framework that enables DL-based approaches trained collaboratively across clients without sharing private data.
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
In this study, a novel method of feature extraction based on the detection of S peaks is proposed to enhance the detection of adjacent SA segments using a single-lead ECG.
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
In this paper we introduce a new skeleton-based representation for 3D action recognition in videos.
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks
Automatic human action recognition is indispensable for almost artificial intelligent systems such as video surveillance, human-computer interfaces, video retrieval, etc.
Exploiting deep residual networks for human action recognition from skeletal data
In this paper, we investigate and apply deep ResNets for human action recognition using skeletal data provided by depth sensors.
