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Articles

Benchmark examples for data-driven site characterisation

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 599-621 | Received 06 Aug 2021, Accepted 01 Jan 2022, Published online: 13 Jan 2022

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Read on this site (6)

Peiping Li & Yu Wang. (2023) Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS). Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 554-571.
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Marcin Chwała, Kok-Kwang Phoon, Marco Uzielli, Jie Zhang, Limin Zhang & Jianye Ching. (2023) Time capsule for geotechnical risk and reliability. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 439-466.
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K. K. Phoon, L. M. Zhang & Z. J. Cao. (2023) Special issue on “Machine learning and AI in geotechnics”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 1-6.
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Takayuki Shuku & Kok-Kwang Phoon. (2023) Data-driven subsurface modelling using a Markov random field model. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 41-63.
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Kok-Kwang Phoon, Zi-Jun Cao, Zhongqiang Liu & Jianye Ching. (2023) Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 227-238.
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Kok-Kwang Phoon & Wengang Zhang. (2023) Future of machine learning in geotechnics. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 7-22.
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Articles from other publishers (2)

Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching & Ikumasa Yoshida. (2023) Benchmarking Data-Driven Site Characterization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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Kok-Kwang Phoon. (2023) What Geotechnical Engineers Want to Know about Reliability. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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