Recurrent spiking neural networks (RSNNs) hold great potential for advan...
There has been a growing academic interest in the recognition of nested ...
Optimization of discrete structures aims at generating a new structure w...
Emotion recognition plays a vital role in human-machine interactions and...
How to produce expressive molecular representations is a fundamental
cha...
Modeling the effects of mutations on the binding affinity plays a crucia...
The combination of neuroscience-oriented and computer-science-oriented
a...
Unsupervised paraphrase generation is a promising and important research...
Structural information is important in natural language understanding.
A...
In early years, text classification is typically accomplished by
feature...
Automatic diagnosing lung cancer from Computed Tomography (CT) scans inv...
We propose scale-free Identifier Network(sfIN), a novel model for event
...
Synaptic plasticity is implemented and controlled through over thousand
...
Attentional Neural Network is a new framework that integrates top-down
c...