A brain-inspired computational framework for image-based risk assessment. [PDF]
Sci RepZhou F, Hu S, Du X, Li N, Zhou T.
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Abnormal MRI Features in Children with ADHD: A Narrative Review of Large-Scale Studies. [PDF]
Brain SciWang C, Wang S, Sun L, Sui J.
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MSDC: Aspect-level sentiment analysis model based on multi-scale dual-channel feature fusion. [PDF]
PLoS OneLou X, Liu G, Xu Y.
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What Is Inside the Sinus Tarsi? Mechanoreceptor Distribution, Typing and Clinical Relevance-A Histological and Immunohistochemical Synthesis. [PDF]
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Morphological, Histological and Ultrastructural Characterization of the Common Dolphin's Adrenal Glands. [PDF]
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White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps. [PDF]
Sci RepKaraddi SH +3 more
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An integrated design for segmentation and classification of diabetic foot ulcers using thermography images. [PDF]
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Capsule-based federated reinforcement learning adaptive sliding mode for anomaly detection and control of floating wind turbines. [PDF]
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Link prediction approach combined graph neural network with capsule network
Expert Systems With Applications, 2023Graph Neural Networks (GNNs, in short) are a powerful computational tool to jointly learn graph structure and node/edge features. They achieved an unprecedented accuracy in the link prediction problem, namely the task of predicting if two nodes are likely to be tied by an edge in the near future.
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exaly +2 more sources