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Found 5 papers, 1 papers with code
Densely Multiplied Physics Informed Neural Networks
Although physics-informed neural networks (PINNs) have shown great potential in dealing with nonlinear partial differential equations (PDEs), it is common that PINNs will suffer from the problem of insufficient precision or obtaining incorrect outcomes.
Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework
This study demonstrated that the structure of RAE is able to capture the differential features between SZ patients and HC subjects.
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition
In recent years, emotion recognition based on electroencephalography (EEG) has received growing interests in the brain-computer interaction (BCI) field.
Defocus Blur Detection via Salient Region Detection Prior
Defocus blur Detection aims to separate the out-of-focus and depth-of-field areas in photos, which is an important work in computer vision.
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Arbitrary attribute editing generally can be tackled by incorporating encoder-decoder and generative adversarial networks.
