Institute of Structural Engineering

output

20152022

most citedAn active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

297 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

B. Sudret5 · h 51
E. Chatzi4 · h 49
A. Kamariotis3 · h 7
D. Štraub3 · h 50
M. Broccardo3 · h 21
A. Mignan2 · h 31
Joseph B. Nagel2 · h 8
K. Konakli2 · h 12
Stefano Marelli2 · h 28
A. Colombi1 · h 27
A. Pelat1 · h 20
Benoit Tallon1 · h 4

collaborating institutions

ETH ZurichCH15 papers
Technical University of MunichDE3 papers
Institute of GeophysicsRU2 papers
Swiss Seismological ServiceCH2 papers
Agence Nationale pour la Gestion des Déchets RadioactifsFR1 paper
Centre National de la Recherche ScientifiqueFR1 paper
China Earthquake AdministrationCN1 paper
Earthquake Engineering Research InstituteUS1 paper
Institut des Sciences de la TerreFR1 paper
Laboratoire d'Acoustique de l'Université du MansFR1 paper
Laboratoire de Physique et Modélisation des Milieux CondensésFR1 paper
Seoul National UniversityKR1 paper

Showing 2019 · physics.geo-phShow all

1 paper · 2 filters

physics.geo-ph2019★ 30 cited

One neuron is more informative than a deep neural network for aftershock pattern forecasting

Arnaud Mignan, Marco Broccardo

29 August 2018: "Artificial intelligence nails predictions of earthquake aftershocks". This Nature News headline is based on the results of DeVries et al. (2018) who forecasted the…