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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Sep 201919922001200920172026
1 result for “SepConv1D”
A few filters are enough: Convolutional Neural Network for P300 Detectioncs.LG

A simple CNN architecture outperforms complex ones in P300 detection.

problem Efficiently detecting P300 component from EEG signals.
method Used a simple CNN architecture with a single depthwise separable 1D convolutional layer followed by a fully connected Sigmoid neuron.
result A single depthwise separable 1D convolutional layer with four filters achieved competitive performance.
CNNP300EEGBCISepConv1D
2019-09-16abs ↗pdf ↗