David J. J. Toal

According to our database, David J. J. Toal authored at least 7 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

Proceedings of the Engineering Applications of Neural Networks, 2025

2024

Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD.

Gerico Vidanes, David Toal, Xu Zhang, Andy J. Keane, Jon Gregory, Marco Nunez

Comput. Aided Des., January, 2024

AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries.

Tom Bamford, David Toal, Andy J. Keane

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2022

Multiresolution surface blending for detail reconstruction.

Hono Salval, Andy J. Keane, David Toal

Graph. Vis. Comput., 2022

2016

A study into the potential of GPUs for the efficient construction and evaluation of Kriging models.

David J. J. Toal

Eng. Comput., 2016

2011

Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems.

David J. J. Toal, Andy J. Keane

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

2009

Proper orthogonal decomposition & kriging strategies for design.

David J. J. Toal

PhD thesis, 2009