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Thomas Bornstein
Observed names:
Bornstein, T.,
Bornstein, Thomas,
T. Bornstein
Observed institutions:
GEOMAR Helmholtz Centre for Ocean Research Kiel,
Humboldt-Universität zu Berlin,
GFZ Helmholtz Centre for Geosciences
ORCID:
0009-0002-3668-964X
Observed ORCID:
0009-0002-3668-964X
OpenAlex ID:
A5007388792
Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers
2022
·
Jannes Münchmeyer
, Jack Woollam
, et al.
·
Journal of Geophysical Research Solid Earth
·
251
PDF
SeisBench—A Toolbox for Machine Learning in Seismology
2022
·
Jack Woollam
, Jannes Münchmeyer
, et al.
·
Seismological Research Letters
·
246
PDF
PickBlue: Seismic Phase Picking for Ocean Bottom Seismometers With Deep Learning
2023
·
T. Bornstein
, D. Lange
, et al.
·
Earth and Space Science
·
63
PDF
SeisBench - A Toolbox for Machine Learning in Seismology
2022
·
Jack Woollam
, Jannes Münchmeyer
, et al.
·
EGU General Assembly Conference Abstracts
·
15
Which picker fits my data? A quantitative evaluation of deep learning based seismic pickers
2022
·
Jannes Münchmeyer
, Jack Woollam
, et al.
·
EGU General Assembly Conference Abstracts
·
10
PickBlue: Seismic phase picking for ocean bottom seismometers with deep learning
2023
·
Thomas Bornstein
, Dietrich Lange
, et al.
·
EGU General Assembly Conference Abstracts
·
2
Employing machine learning pickers for routine global earthquake monitoring with SeisComP: What are the benefits and how can we quantify the uncertainty of picks?
2023
·
Frederik Tilmann
, Thomas Bornstein
, et al.
·
EGU General Assembly Conference Abstracts
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Works count:
11
Citation count:
590
H-index:
5
I10-index:
5
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