Multi-objective Optimisation, Software Effort Estimation and Linear Models. - Peter A. Whigham; Caitlin A. Owen (SEAL, 2014)

Examining the "Best of Both Worlds" of Grammatical Evolution. - Peter A. Whigham; Grant Dick; James MacLaurin 002; Caitlin A. Owen (GECCO, 2015)

A Baseline Model for Software Effort Estimation. - Peter A. Whigham; Caitlin A. Owen; Stephen G. MacDonell (ACM Trans. Softw. Eng. Methodol., 2015)

Feature Standardisation in Symbolic Regression. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (Australasian Conference on Artificial Intelligence, 2018)

Evolving bagging ensembles using a spatially-structured niching method. - Grant Dick; Caitlin A. Owen; Peter A. Whigham (GECCO, 2018)

Feature standardisation and coefficient optimisation for effective symbolic regression. - Grant Dick; Caitlin A. Owen; Peter A. Whigham (GECCO, 2020)

Understanding stack overflow code quality: A recommendation of caution. - Sarah Meldrum; Sherlock A. Licorish; Caitlin A. Owen; Bastin Tony Roy Savarimuthu (Sci. Comput. Program., 2020)

Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (IEEE Trans. Evol. Comput., 2020)

Towards Explainable AutoML Using Error Decomposition. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (AI, 2022)

Simulation evidence on Herfindahl-Hirschman measures of competitive balance in professional sports leagues. - P. Dorian Owen; Caitlin A. Owen (J. Oper. Res. Soc., 2022)

Standardization and Data Augmentation in Genetic Programming. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (IEEE Trans. Evol. Comput., 2022)

Revisiting Bagging for Stochastic Algorithms. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (AI (2), 2024)

Characterising the Double Descent of Symbolic Regression. - Grant Dick; Caitlin A. Owen (GECCO Companion, 2024)

Using Decomposed Error for Reproducing Implicit Understanding of Algorithms. - Caitlin A. Owen; Grant Dick; Peter A. Whigham (Evol. Comput., 2024)