Boumédiène Derras

Towards fully data driven ground-motion prediction models for Europe

Boumédiène Derras, Pierre Yves Bard, Fabrice Cotton · Bulletin of Earthquake Engineering · 2013 · 160 citations

Engineering, Data Science, Forecasting +4

Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data

Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton et al. · Bulletin of the Seismological Society of America · 2012 · 128 citations

Engineering, Machine Learning, Seismic Wave +30

Comparisons among the five ground-motion models developed using RESORCE for the prediction of response spectral accelerations due to earthquakes in Europe and the Middle East

John Douglas, Sinan Akkar, G. Ameri et al. · Bulletin of Earthquake Engineering · 2013 · 82 citations · Full text

V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response

Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton · Earth Planets and Space · 2017 · 81 citations · Full text

Site‐Condition Proxies, Ground Motion Variability, and Data‐Driven GMPEs: Insights from the NGA‐West2 and RESORCE Data Sets

Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton · Earthquake Spectra · 2016 · 75 citations