Daniel W. Apley

Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models

Daniel W. Apley, Jingyu Zhu · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2020 · 1.2K citations

Artificial Intelligence, Engineering, Machine Learning +18

A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

Miguel A. Bessa, Ramin Bostanabad, Zeliang Liu et al. · Computer Methods in Applied Mechanics and Engineering · 2017 · 510 citations

Engineering, Data Science, Uncertainty Modeling +12

Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques

Ramin Bostanabad, Yichi Zhang, Xiaolin Li et al. · Progress in Materials Science · 2018 · 399 citations

Materials Science, Geometric Modeling, Engineering +12

Local Gaussian Process Approximation for Large Computer Experiments

Robert B. Gramacy, Daniel W. Apley · Journal of Computational and Graphical Statistics · 2014 · 366 citations

Engineering, Machine Learning, Data Science +14

Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability

Paul D. Arendt, Daniel W. Apley, Wei Chen · Journal of Mechanical Design · 2012 · 318 citations

Engineering, Measurement, Model Refinement +19