11 citations · 11 across the 3 of their papers we have counts for
3 papers
gr-qc2024★ 11 cited
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
Seiya Sasaoka, Naoki Koyama, Diego Dominguez +4
Recent advancements in gravitational wave astronomy have seen the application of convolutional neural networks (CNNs) in signal detection from compact binary coalescences. This stu…
cs.LG2023
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…
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…