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Generative self-supervised learning for seismic event classification

delete2025-12-06
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PRE
AI
J
Jiaxin Jiang *
V
Vladimir Stanković
L
Lina Stanković
D
David Murray
S
Stella Pytharouli
DOI:10.1016/j.engappai.2025.113355delete
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Abstract

Abstract

En 中文
• Generative self-supervised model for efficient extraction of seismic event features. • Semi-supervised learning approach that minimizes the need for extensive labeled data. • SOM (Self-Organizing Map)-based method to significantly enhance the efficiency of manual data labeling by experts.

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.3K
Citations:
3.5W

Organization

S
shanghai jiao tong university
Scholars:
15.5W
Papers: 11.6W
Citations: 159
U
university of strathclyde
Scholars:
1.1W
Papers: 1.1W
Citations: 12