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20202026
most citedComparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences

11 citations · 45 across the 12 of their papers we have counts for

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astro-ph.IM2023★ 11 cited

Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae

Seiya Sasaoka, Naoki Koyama, Diego Dominguez +4

In this study, we employ a convolutional neural network to classify gravitational waves originating from core-collapse supernovae. Training is conducted using spectrograms derived…