11 citations · 32 across the 11 of their papers we have counts for
3 papers · 1 filter
Multi-rules mining algorithm for combinatorially exploded decision trees with modified Aitchison-Aitken function-based Bayesian optimization
Yuto Omae, Masaya Mori, Yohei Kakimoto
Decision trees offer the benefit of easy interpretation because they allow the classification of input data based on if--then rules. However, as decision trees are constructed by a…
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…
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…