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Yichi Zhang, Siyu Tao, Wei Chen & Daniel W. Apley. (2020) A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. Technometrics 62:3, pages 291-302.
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Zahra Zanjani Foumani, Mehdi Shishehbor, Amin Yousefpour & Ramin Bostanabad. (2023) Multi-fidelity cost-aware Bayesian optimization. Computer Methods in Applied Mechanics and Engineering 407, pages 115937.
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Liming Chen, Haobo Qiu, Liang Gao, Zan Yang & Danyang Xu. (2022) Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling. Mechanical Systems and Signal Processing 169, pages 108643.
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Qing Ding, Oumate Alhadji Abba, Hadi Jahanshahi, Madini O. Alassafi & Wen-Hua Huang. (2022) Dynamical Investigation, Electronic Circuit Realization and Emulation of a Fractional-Order Chaotic Three-Echelon Supply Chain System. Mathematics 10:4, pages 625.
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Bo Wang, Jinping Liu, Madini O. Alassafi, Fawaz E. Alsaadi, Hadi Jahanshahi & Stelios Bekiros. (2022) Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system. Chaos, Solitons & Fractals 154, pages 111590.
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Nicholas Oune & Ramin Bostanabad. (2021) Latent map Gaussian processes for mixed variable metamodeling. Computer Methods in Applied Mechanics and Engineering 387, pages 114128.
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Robert Planas, Nick Oune & Ramin Bostanabad. (2021) Evolutionary Gaussian Processes. Journal of Mechanical Design 143:11.
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Xiaoning Kang & Xinwei Deng. (2020) Design and analysis of computer experiments with quantitative and qualitative inputs: A selective review. WIREs Data Mining and Knowledge Discovery 10:3.
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Yichi Zhang, Daniel W. Apley & Wei Chen. (2020) Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. Scientific Reports 10:1.
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Andrea Garbo & Brian J. German. (2019) A model-independent adaptive sequential sampling technique based on response nonlinearity estimation. Structural and Multidisciplinary Optimization 61:3, pages 1051-1069.
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Yang Yu, Ning Zhang, Daniel W. Apley & Wenxin Jiang. (2020) Including a Nugget Effect in Lifted Brownian Covariance Models. SIAM/ASA Journal on Uncertainty Quantification 8:4, pages 1338-1357.
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Ramin Bostanabad, Biao Liang, Anton van Beek, Jiaying Gao, Wing Kam Liu, Jian Cao, Danielle Zeng, Xuming Su, Hongyi Xu, Yang Li & Wei Chen. 2020. Uncertainty Quantification in Multiscale Materials Modeling. Uncertainty Quantification in Multiscale Materials Modeling
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Ramin Bostanabad, Yu-Chin Chan, Liwei Wang, Ping Zhu & Wei Chen. (2019) Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design. Journal of Mechanical Design 141:11.
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Andrea Garbo & Brian J. German. (2019) Performance assessment of a cross-validation sampling strategy with active surrogate model selection. Structural and Multidisciplinary Optimization 59:6, pages 2257-2272.
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Ramin Bostanabad, Tucker Kearney, Siyu Tao, Daniel W. Apley & Wei Chen. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering 114:5, pages 501-516.
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Iman Hassaninia, Ramin Bostanabad, Wei Chen & Hooman Mohseni. (2017) Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns. Scientific Reports 7:1.
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