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Found 5 papers, 1 papers with code
WikiLink: an encyclopedia-based semantic network for design innovation
However, existing semantic networks for design innovation is built on data source restricted to technological and scientific information.
Patent-KG: Patent Knowledge Graph Use for Engineering Design
This paper builds a patent-based knowledge graph, patent-KG, to represent the knowledge facts in patents for engineering design.
Product semantics translation from brain activity via adversarial learning
To modify a design semantic of a given product from personalised brain activity via adversarial learning, in this work, we propose a deep generative transformation model to modify product semantics from the brain signal.
Verifying Design through Generative Visualization of Neural Activities
A recurrent neural network is used as the encoder to learn latent representation from electroencephalogram (EEG) signals, recorded while subjects looked at 50 categories of images.
A General Framework for Revealing Human Mind with auto-encoding GANs
For this reason, we propose an end-to-end brain decoding framework which translates brain activity into an image by latent space alignment.
