Noise reduction by multi-target learning. - John A. Bullinaria (ESANN, 1994)

Neural Network Learning from Ambiguous Training Data. - John A. Bullinaria (Connect. Sci., 1995)

Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network. - John A. Bullinaria; Christopher C. Huckle (NCPW, 1997)

Extracting Semantic Representations from Large Text Corpora. - Malti Patel; John A. Bullinaria; Joseph P. Levy (NCPW, 1997)

Regularization in oculomotor adaptation. - John A. Bullinaria; Patricia M. Riddell; Simon K. Rushton (ESANN, 1999)

Free Gifts from Connectionist Modelling. - John A. Bullinaria (Information Theory and the Brain, 2000)

Regularization in oculomotor control. - John A. Bullinaria; Patricia M. Riddell (ESANN, 2000)

Exploring the Baldwin Effect in Evolving Adaptable Control Systems. - John A. Bullinaria (NCPW, 2000)

Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? - Joseph P. Levy; John A. Bullinaria (NCPW, 2000)

Neural Network Control Systems that Learn to Perform Appropriately. - John A. Bullinaria; Patricia M. Riddell (Int. J. Neural Syst., 2001)

The Evolution Of Variable Learning Rates. - John A. Bullinaria (GECCO, 2002)

Optimizing the learning of binary mappings. - John A. Bullinaria (IJCNN, 2003)

Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms. - Jose Sánchez-Velazco; John A. Bullinaria (Neural Networks and Computational Intelligence, 2003)

Evolving efficient learning algorithms for binary mappings. - John A. Bullinaria (Neural Networks, 2003)

Generational versus steady-state evolution for optimizing neural network learning. - John A. Bullinaria (IJCNN, 2004)

Evolving improved incremental learning schemes for neural network systems. - Tebogo Seipone; John A. Bullinaria (Congress on Evolutionary Computation, 2005)

Evolving neural networks: Is it really worth the effort? - John A. Bullinaria (ESANN, 2005)

Evolved Age Dependent Plasticity Improves Neural Network Performance. - John A. Bullinaria (HIS, 2005)

Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. - Philipp Rohlfshagen; John A. Bullinaria (IEEE Congress on Evolutionary Computation, 2006)

Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. - John A. Bullinaria (IJCNN, 2006)

Implicit alternative splicing for genetic algorithms. - Philipp Rohlfshagen; John A. Bullinaria (IEEE Congress on Evolutionary Computation, 2007)

The effect of learning on life history evolution. - John A. Bullinaria (GECCO, 2007)

ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. - Philipp Rohlfshagen; John A. Bullinaria (GECCO, 2007)

A genetic algorithm with exon shuffling crossover for hard bin packing problems. - Philipp Rohlfshagen; John A. Bullinaria (GECCO, 2007)

Understanding the Emergence of Modularity in Neural Systems. - John A. Bullinaria (Cogn. Sci., 2007)

An introduction to computational intelligence techniques for robot control. - John A. Bullinaria; Xiaoli Li 002 (Ind. Robot, 2007)

Using evolution to improve neural network learning: pitfalls and solutions. - John A. Bullinaria (Neural Comput. Appl., 2007)

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. - Andrea Soltoggio; John A. Bullinaria; Claudio Mattiussi; Peter Dürr; Dario Floreano (ALIFE, 2008)

Identification and Exploitation of Linkage by Means of Alternative Splicing. - Philipp Rohlfshagen; John A. Bullinaria (Linkage in Evolutionary Computation, 2008)

Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. - Abel García-Nájera; John A. Bullinaria (EMO, 2009)

Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. - Abel García-Nájera; John A. Bullinaria (GECCO, 2009)

Neural network ensembles for time series forecasting. - Victor M. Landassuri-Moreno; John A. Bullinaria (GECCO, 2009)

Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. - John A. Bullinaria (IJCCI, 2009)

Lifetime Learning as a Factor in Life History Evolution. - John A. Bullinaria (Artif. Life, 2009)

Memes in Artificial Life Simulations of Life History Evolution. - John A. Bullinaria (ALIFE, 2010)

Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. - Abel García-Nájera; John A. Bullinaria (PPSN (2), 2010)

Nature inspired genetic algorithms for hard packing problems. - Philipp Rohlfshagen; John A. Bullinaria (Ann. Oper. Res., 2010)

Biasing the evolution of modular neural networks. - Victor M. Landassuri-Moreno; John A. Bullinaria (IEEE Congress on Evolutionary Computation, 2011)

Text to phoneme alignment and mapping for speech technology: A neural networks approach. - John A. Bullinaria (IJCNN, 2011)

An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. - Abel García-Nájera; John A. Bullinaria (Comput. Oper. Res., 2011)

Artificial Bee Colony Training of Neural Networks. - John A. Bullinaria; Khulood AlYahya (NICSO, 2013)

Artificial Bee Colony training of neural networks: comparison with back-propagation. - John A. Bullinaria; Khulood AlYahya (Memetic Comput., 2014)

An evolutionary approach for multi-objective vehicle routing problems with backhauls. - Abel García-Nájera; John A. Bullinaria; Miguel Angel Gutiérrez-Ándrade (Comput. Ind. Eng., 2015)

Population-Based Simulation of Gender Inequality Issues. - John A. Bullinaria (ALIFE, 2016)

Semantic vector evaluation and human performance on a new vocabulary MCQ test. - Joseph P. Levy; John A. Bullinaria; Samantha McCormick (CogSci, 2017)

Imitative and Direct Learning as Interacting Factors in Life History Evolution. - John A. Bullinaria (Artif. Life, 2017)

Evolution of learning strategies in changing environments. - John A. Bullinaria (Cogn. Syst. Res., 2018)

Agent-Based Models of Gender Inequalities in Career Progression. - John A. Bullinaria (J. Artif. Soc. Soc. Simul., 2018)

Effect of Environmental Change Distribution on Artificial Life Simulations. - John A. Bullinaria (Artif. Life, 2022)

Simulating the Effect of Environmental Change on Evolving Populations. - John A. Bullinaria (Artif. Life, 2024)