The paper, titled “Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation”, has been published in Machine Learning: Science and Technology.

The paper, titled “Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation”, has been published in Machine Learning: Science and Technology.

Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi, “Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation”, Machine Learning: Science and Technology, Vol. 5, No 3, 035028 (2024).
doi:10.1088/2632-2153/ad6391