Interpretability and spatial efficacy of a deep-learning-based on-site early warning framework using explainable artificial intelligence and geographically weighted random forests

Author:

Fayaz JawadORCID,Galasso CarmineORCID

Funder

Teesside University

Publisher

Elsevier BV

Reference43 articles.

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3. Aydınoğlu, M.N., Vuran, E., 2015. Developments in Seismic Design of Tall Buildings: Preliminary Design of Coupled Core Wall Systems. In: Ansal, A. (Ed.), Perspectives on European Earthquake Engineering and Seismology. Geotechnical, Geological and Earthquake Engineering, vol 39. Springer, Cham, 227–243. https://doi.org/10.1007/978-3-319-16964-4_9.

4. Bergstra, J., Bengio, Y., 2012. Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281–305. http://scikit-learn.sourceforge.net.

5. Multi-parameter algorithm for earthquake early warning;Bhardwaj;Geomat. Nat. Haz. Risk,2016

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