Proper orthogonal decomposition & kriging strategies for design. - David J. J. Toal (2009)

Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems. - David J. J. Toal; Andy J. Keane (LION, 2011)

A study into the potential of GPUs for the efficient construction and evaluation of Kriging models. - David J. J. Toal (Eng. Comput., 2016)

Multiresolution surface blending for detail reconstruction. - Hono Salval; Andy J. Keane; David Toal (Graph. Vis. Comput., 2022)

AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries. - Tom Bamford; David Toal; Andy J. Keane (ECML/PKDD (9), 2024)

Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD. - Gerico Vidanes; David Toal; Xu Zhang 042; Andy J. Keane; Jon Gregory; Marco Nunez (Comput. Aided Des., 2024)

An Empirical Review of Uncertainty Estimation for Quality Control in CAD Model Segmentation. - Gerico Vidanes; David Toal; Andy J. Keane; Daniel Xu Zhang; Marco Nunez; Jon Gregory (EANN (1), 2025)