Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks

13 May 2022

Papers citing "Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks"

4 / 4 papers shown

Title
Image Data Augmentation for the TAIGA-IACT Experiment with Conditional Generative Adversarial Networks Yu. Yu. Dubenskaya A. P. Kryukov E. Gres S. P. Polyakov E. Postnikov P. A. Volchugov A. A. Vlaskina D. P. Zhurov GAN 48 0 0 06 Mar 2025
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework Kaiming Cui D. J. Armstrong Fabo Feng 29 2 0 14 Nov 2023
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey Zijun Gao Lingbo Li AI4TS 23 8 0 16 Oct 2023
Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs) I. Goumiri Alec M. Dunton Amanda Muyskens Benjamin W. Priest R. E. Armstrong 24 5 0 31 Aug 2022