Hierarchical Nonlinear Approximation for Experimental Design and Statistical Data Fitting. - Daniel Busby; Chris L. Farmer; Armin Iske (SIAM J. Sci. Comput., 2007)

Hierarchical adaptive experimental design for Gaussian process emulators. - Daniel Busby (Reliab. Eng. Syst. Saf., 2009)

Smoothing spline analysis of variance approach for global sensitivity analysis of computer codes. - Samir Touzani; Daniel Busby (Reliab. Eng. Syst. Saf., 2013)

Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data. - Alhasan Abdellatif; Ahmed H. Elsheikh; Daniel Busby; Philippe Berthet (CoRR, 2022)

Generating unrepresented proportions of geological facies using Generative Adversarial Networks. - Alhasan Abdellatif; Ahmed H. Elsheikh; Gavin Graham; Daniel Busby; Philippe Berthet (Comput. Geosci., 2022)

Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows. - Zakaria Elabid; Daniel Busby; Abdenour Hadid (ICASSP, 2024)

TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis. - Lena Sasal; Daniel Busby; Abdenour Hadid (ICONIP (2), 2024)

TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network Framework for Forecasting Spatio-Temporal Data. - Zakaria Elabid; Lena Sasal; Daniel Busby; Abdenour Hadid (PRICAI (2), 2024)

When geoscience meets generative AI and large language models: Foundations, trends, and future challenges. - Abdenour Hadid; Tanujit Chakraborty; Daniel Busby (Expert Syst. J. Knowl. Eng., 2024)