Optimizing GoTools' Search Heuristics using Genetic Algorithms. - Matthew T. Pratola; Thomas Wolf (J. Int. Comput. Games Assoc., 2003)

Computer Model Calibration Using the Ensemble Kalman Filter. - David Higdon; James R. Gattiker; Earl Lawrence; Charles S. Jackson; Michael Tobis; Matthew T. Pratola; Salman Habib 002; Katrin Heitmann; Steve Price (Technometrics, 2013)

Fast Sequential Computer Model Calibration of Large Nonstationary Spatial-Temporal Processes. - Matthew T. Pratola; Stephan R. Sain; Derek Bingham; Michael Wiltberger; E. Joshua Rigler (Technometrics, 2013)

Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models. - Matthew T. Pratola; David M. Higdon (Technometrics, 2016)

Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees. - Dai Feng; Vladimir Svetnik; Andy Liaw; Matthew T. Pratola; Robert P. Sheridan (J. Chem. Inf. Model., 2019)

Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. - Reza Mohammadi; Matthew T. Pratola; Maurits Kaptein (J. Mach. Learn. Res., 2020)

Using BART for Multiobjective Optimization of Noisy Multiple Objectives. - Akira Horiguchi; Thomas J. Santner; Ying Sun 002; Matthew T. Pratola (CoRR, 2021)

Assessing variable activity for Bayesian regression trees. - Akira Horiguchi; Matthew T. Pratola; Thomas J. Santner (Reliab. Eng. Syst. Saf., 2021)

Sparse Additive Gaussian Process Regression. - Hengrui Luo; Giovanni Nattino; Matthew T. Pratola (J. Mach. Learn. Res., 2022)

Using BART to Perform Pareto Optimization and Quantify its Uncertainties. - Akira Horiguchi; Thomas J. Santner; Ying Sun 002; Matthew T. Pratola (Technometrics, 2022)

Editorial: Special Issue on Industry 4.0. - Matthew T. Pratola (Technometrics, 2022)

Sharded Bayesian Additive Regression Trees. - Hengrui Luo; Matthew T. Pratola (CoRR, 2023)

Influential Observations in Bayesian Regression Tree Models. - Matthew T. Pratola; Edward I. George; Robert E. McCulloch (J. Comput. Graph. Stat., 2024)

Model Mixing Using Bayesian Additive Regression Trees. - John C. Yannotty; Thomas J. Santner; Richard J. Furnstahl; Matthew T. Pratola (Technometrics, 2024)

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. - Qilong Pan 001; Sameh Abdulah; Mustafa Abduljabbar; Hatem Ltaief; Andreas Herten; Mathis Bode; Matthew T. Pratola; Arindam Fadikar; Marc G. Genton; David E. Keyes; Ying Sun 002 (CoRR, 2025)