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Found 4 papers, 2 papers with code
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
We evaluate FedMobile using a real-world mobile sensing dataset for influenza-like symptom recognition.
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
To address this concern, in Study 1, we collected linguistic data from N=35 high socially anxious participants in a variety of social contexts, finding that digital linguistic biomarkers significantly differ between evaluative vs. non-evaluative social contexts and between individuals having different trait psychological symptoms, suggesting the likely importance of personalized approaches to detect state anxiety.
Graph Neural Networks in IoT: A Survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on.
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph neural networks (GNNs) have drawn significant research attention recently, mostly under the setting of semi-supervised learning.
