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E. Hauksson

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedReliable Real-time Seismic Signal/Noise Discrimination with Machine Learning

144 citations · 144 across the 1 of their papers we have counts for

collaborators

4 papers

physics.geo-ph2019★ 144 cited

Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning

Men-Andrin Meier, Zachary E. Ross, Anshul Ramachandran +7

In Earthquake Early Warning (EEW), every sufficiently impulsive signal is potentially the first evidence for an unfolding large earthquake. More often than not, however, impulsive…

cs.LG2018

PhaseLink: A Deep Learning Approach to Seismic Phase Association

Zachary E. Ross, Yisong Yue, Men-Andrin Meier +2

Seismic phase association is a fundamental task in seismology that pertains to linking together phase detections on different sensors that originate from a common earthquake. It is…

physics.geo-ph2018

Generalized Seismic Phase Detection with Deep Learning

Zachary E. Ross, Men-Andrin Meier, Egill Hauksson +1

To optimally monitor earthquake-generating processes, seismologists have sought to lower detection sensitivities ever since instrumental seismic networks were started about a centu…

physics.geo-ph2018

P-wave arrival picking and first-motion polarity determination with deep learning

Zachary E. Ross, Men-Andrin Meier, Egill Hauksson

Determining earthquake hypocenters and focal mechanisms requires precisely measured P-wave arrival times and first-motion polarities. Automated algorithms for estimating these quan…

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