Martijn van den Ende

Automated Seismic Source Characterization Using Deep Graph Neural Networks

Martijn van den Ende, Jean‐Paul Ampuero · Geophysical Research Letters · 2020 · 142 citations · Full text

Engineering, Machine Learning, Seismic Wave +16

Evaluating seismic beamforming capabilities of distributed acoustic sensing arrays

Martijn van den Ende, Jean‐Paul Ampuero · Solid Earth · 2021 · 104 citations · Full text

Geophysics, Array Processing, Ocean Acoustics +15

The Community Code Verification Exercise for Simulating Sequences of Earthquakes and Aseismic Slip (SEAS)

Brittany A. Erickson, Junle Jiang, M. Barall et al. · Seismological Research Letters · 2020 · 87 citations · Full text

Engineering, Fault Geology, Earthquake Hazards +23

A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data

Martijn van den Ende, Itzhak Lior, Jean‐Paul Ampuero et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 85 citations · Full text

Engineering, Seismic Wave, Das Measurements +20

A comparison between rate-and-state friction and microphysical models, based on numerical simulations of fault slip

Martijn van den Ende, Jianye Chen, Jean‐Paul Ampuero et al. · Tectonophysics · 2017 · 80 citations · Full text