Titlebook: Neural Information Processing; 26th International C Tom Gedeon,Kok Wai Wong,Minho Lee Conference proceedings 2019 Springer Nature Switzerla

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Visualizing Readable Instance Graphs of Ontology with Memo Graphuctured based on the PersonLink ontology. This graph ought to be accessible and readable to this particular user. In our previous work, we proposed an ontology visualization tool called Memo Graph. It aims to offer an accessible visualization to Alzheimer’s patients. In this paper, we extend it to a

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Hippocampus Segmentation in MRI Using Side U-Net Modelown CNN architectures in many different medical image segmentation tasks. However, it is hard to capture subtle local features because of its limitations in standard convolution layers and one output prediction. In addition, some objects like hippocampus in the biomedical image occupies an only smal

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AutoML for DenseNet Compression and learning efficiency of deep convolutional neural networks. However, many of the skip connections in DenseNet are redundant, which may lead to huge consumption of computational resources and computing time. In this paper, we propose an automatic model compression method based on reinforcement le

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Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Ben these models is static and continuous-valued. However, a biological neuron processes the information in the form of discrete spikes based on the spike time and the firing rate. Understanding brain activities is vital to understand the mechanisms underlying mental health. Spiking Neural Networks ar

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