• Corpus ID: 249017676

Machine learning event detection workflows in practice: A case study from the 2019 Durr\"es aftershock sequence

@inproceedings{Woollam2022MachineLE,
  title={Machine learning event detection workflows in practice: A case study from the 2019 Durr\"es aftershock sequence},
  author={J. H. Woollam and Vincent Van der Heiden and Andreas Rietbrock and Bernd Dieter Schurr and Frederik Tilmann and Edmond Dushi},
  year={2022}
}
Jack Woollam1,*, Vincent van der Heiden1,, Andreas Rietbrock1, Bernd Schurr2,, Frederik Tilmann2,4, and Edmond Dushi3 1Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany Institute of Geosciences, Energy, Water and Environment, Polytechnic University of Tirana, Albania Institute for Geological Sciences, Freie Universität Berlin, Germany corresponding author 
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