21 citations · 59 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…
eess.SP2023
FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks
Yuto Omae, Yusuke Sakai, Hirotaka Takahashi
Recently, many convolutional neural networks (CNNs) for classification by time domain data of multisignals have been developed. Although some signals are important for correct clas…