Neural Information Processing

For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.

• artificial intelligence
• computer networks
• computer systems
• computer vision
• deep learning
• education
• engineering
• human-computer interaction
• image processing
• image reconstruction
• image segmentation
• internet
• learning
• machine learning
• neural networks
• pattern recognition
• robotics
• semantics
• signal processing

• Australian National University, Canberra, Australia

  Tom Gedeon

• Murdoch University, Murdoch, Australia

  Kok Wai Wong

• Kyungpook National University, Daegu, Korea (Republic of)

  Minho Lee

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