14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Learning Earthquake Wave Arrival Time Picking from Labels with Inaccuracies
Sen Li, Xu Yang, S. Mostafa Mousavi +5
Inaccurately labeled training data, or "label noise", poses a significant threat to the integrity of supervised machine learning models. This corruption directly degrades performan…
physics.geo-ph2023★ 14 cited
SeisT: A foundational deep learning model for earthquake monitoring tasks
Sen Li, Xu Yang, Anye Cao +4
Seismograms, the fundamental seismic records, have revolutionized earthquake research and monitoring. Recent advancements in deep learning have further enhanced seismic signal proc…