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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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gr-qc2025

Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning

Shoichi Oshino, Yusuke Sakai, Marco Meyer-Conde +5

Gravitational wave interferometers are disrupted by various types of nonstationary noise, referred to as glitch noise, that affect data analysis and interferometer sensitivity. The…