| 2017 | CogSci | Semantic vector evaluation and human performance on a new vocabulary MCQ test. | Joseph P. Levy, John A. Bullinaria, Samantha McCormick |
| 2016 | ALIFE | Population-Based Simulation of Gender Inequality Issues. | John A. Bullinaria |
| 2011 | CEC | Biasing the evolution of modular neural networks. | Victor M. Landassuri-Moreno, John A. Bullinaria |
| 2011 | IJCNN | Text to phoneme alignment and mapping for speech technology: A neural networks approach. | John A. Bullinaria |
| 2010 | ALIFE | Memes in Artificial Life Simulations of Life History Evolution. | John A. Bullinaria |
| 2010 | PPSN | Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. | Abel Garca-Njera, John A. Bullinaria |
| 2009 | EMO | Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. | Abel Garca-Njera, John A. Bullinaria |
| 2009 | GECCO | Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. | Abel Garca-Njera, John A. Bullinaria |
| 2009 | GECCO | Neural network ensembles for time series forecasting. | Victor M. Landassuri-Moreno, John A. Bullinaria |
| 2009 | IJCCI | Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. | John A. Bullinaria |
| 2008 | ALIFE | Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. | Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Drr, Dario Floreano |
| 2007 | CEC | Implicit alternative splicing for genetic algorithms. | Philipp Rohlfshagen, John A. Bullinaria |
| 2007 | GECCO | The effect of learning on life history evolution. | John A. Bullinaria |
| 2007 | GECCO | ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. | Philipp Rohlfshagen, John A. Bullinaria |
| 2007 | GECCO | A genetic algorithm with exon shuffling crossover for hard bin packing problems. | Philipp Rohlfshagen, John A. Bullinaria |
| 2006 | CEC | Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. | Philipp Rohlfshagen, John A. Bullinaria |
| 2006 | IJCNN | Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. | John A. Bullinaria |
| 2005 | CEC | Evolving improved incremental learning schemes for neural network systems. | Tebogo Seipone, John A. Bullinaria |
| 2005 | ESANN | Evolving neural networks: Is it really worth the effort? | John A. Bullinaria |
| 2005 | HIS | Evolved Age Dependent Plasticity Improves Neural Network Performance. | John A. Bullinaria |
| 2004 | IJCNN | Generational versus steady-state evolution for optimizing neural network learning. | John A. Bullinaria |
| 2003 | IJCNN | Optimizing the learning of binary mappings. | John A. Bullinaria |
| 2002 | GECCO | The Evolution Of Variable Learning Rates. | John A. Bullinaria |
| 2000 | ESANN | Regularization in oculomotor control. | John A. Bullinaria, Patricia M. Riddell |
| 1999 | ESANN | Regularization in oculomotor adaptation. | John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton |
| 1994 | ESANN | Noise reduction by multi-target learning. | John A. Bullinaria |