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0111 · Mar 202019922001200920172026
2 results for intent-conditioned

SYNTHONY selects tabular synthesizers based on stress profiling and user intent.

problem Non-uniform performance of tabular generative models across datasets.
method Stress profiling and intent-conditioned tabular synthesis selection.
result Meta-features predict synthesizer performance, improving selection accuracy.

Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional neural networks have been well suited for spatio-spectral-temporal electroencephalogram signal representation learning. Most of the existing C…

2020-03-02abs ↗pdf ↗