Visualizing the effects of predictor variables in black box supervised learning models von Apley, Daniel W., Zhu, Jingyu

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Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables von Zhang, Yichi, Apley, Daniel W., Chen, Wei

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Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability von Arendt, Paul D, Apley, Daniel W, Chen, Wei

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Local Gaussian Process Approximation for Large Computer Experiments von Gramacy, Robert B., Apley, Daniel W.

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A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality von Bessa, M.A., Bostanabad, R., Liu, Z., Hu, A., Apley, Daniel W., Brinson, C., Chen, W., Liu, Wing Kam

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Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques von Bostanabad, Ramin, Zhang, Yichi, Li, Xiaolin, Kearney, Tucker, Brinson, L. Catherine, Apley, Daniel W., Liu, Wing Kam, Chen, Wei

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Leveraging the nugget parameter for efficient Gaussian process modeling von Bostanabad, Ramin, Kearney, Tucker, Tao, Siyu, Apley, Daniel W., Chen, Wei

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Coefficient tree regression: fast, accurate and interpretable predictive modeling von Sürer, Özge, Apley, Daniel W., Malthouse, Edward C.

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Improving Identifiability in Model Calibration Using Multiple Responses von Arendt, Paul D, Apley, Daniel W, Chen, Wei, Lamb, David, Gorsich, David

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Uncertainty propagation of frequency response functions using a multi-output Gaussian Process model von Lu, Jun, Zhan, Zhenfei, Apley, Daniel W., Chen, Wei

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Multi-Model Bayesian Optimization for Simulation-Based Design von Tao, Siyu, van Beek, Anton, Apley, Daniel W, Chen, Wei

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Uncertainty-aware mixed-variable machine learning for materials design von Zhang, Hengrui, Chen, Wei (Wayne), Iyer, Akshay, Apley, Daniel W., Chen, Wei

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Robust monitoring of stochastic textured surfaces von Bui, Anh Tuan, Apley, Daniel W.

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A mode tracking method in modal metamodeling for structures with clustered eigenvalues von Lu, Jun, Tang, Jiong, Apley, Daniel W., Zhan, Zhenfei, Chen, Wei

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Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis von Howard, Phillip, Apley, Daniel W., Runger, George

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Latent variable Gaussian process models: A rank‐based analysis and an alternative approach von Tao, Siyu, Apley, Daniel W., Plumlee, Matthew, Chen, Wei

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Lifted Brownian Kriging Models von Plumlee, Matthew, Apley, Daniel W.

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Integration of Normative Decision-Making and Batch Sampling for Global Metamodeling von van Beek, Anton, Tao, Siyu, Plumlee, Matthew, Apley, Daniel W, Chen, Wei

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Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization von Li, Hengyang, Knapik, Stefan, Li, Yangfan, Park, Chanwook, Guo, Jiachen, Mojumder, Satyajit, Lu, Ye, Chen, Wei, Apley, Daniel W., Liu, Wing Kam

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Stochastic microstructure characterization and reconstruction via supervised learning von Bostanabad, Ramin, Bui, Anh Tuan, Xie, Wei, Apley, Daniel W., Chen, Wei

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