Gravix: Active Learning for Gravitational Waves Classification Algorithms

TL;DR

This paper introduces Gravix, an active learning framework designed to improve the classification of gravitational wave signals, aiming to reduce labeling effort and enhance detection accuracy.

Contribution

It presents a novel active learning approach tailored for gravitational wave classification, addressing challenges in data labeling and model performance.

Findings

Gravix reduces the amount of labeled data needed for accurate classification.

The framework achieves higher detection accuracy compared to traditional methods.

Active learning accelerates gravitational wave signal identification.

Abstract

arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement