John A. Bullinaria

发表

Evolution of learning strategies in changing environments

John A. Bullinaria, J. Bullinaria, 2018, Cognitive Systems Research.

NEURAL MODELS OF HEAD-DIRECTION CELLS

Peter Zeidman, John A. Bullinaria, J. Bullinaria, 2008 .

Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network

John A. Bullinaria, Christopher C. Huckle, J. Bullinaria, 1997, NCPW.

Exploring the Baldwin Effect in Evolving Adaptable Control Systems

John A. Bullinaria, 2000, NCPW.

Evolving efficient learning algorithms for binary mappings

John A. Bullinaria, 2003, Neural Networks.

Adaptive Loose Coupling Intelligent Rule System (ALCIRS)

John A. Bullinaria, John A. Barnden, Mark Lee, 2012 .

An evolutionary approach for multi-objective vehicle routing problems with backhauls

Abel García-Nájera, John A. Bullinaria, Miguel Angel Gutiérrez-Ándrade, 2015, Comput. Ind. Eng..

Noise reduction by multi-target learning

John A. Bullinaria, 1994, ESANN.

An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows

Abel García-Nájera, John A. Bullinaria, J. Bullinaria, 2011, Comput. Oper. Res..

Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning

John A. Bullinaria, 2009, IJCCI.

Explorations in the derivation of word co-occurrence statistics

Malti Patel, Joseph P. Levy, John A. Bullinaria, 1999 .

Nature inspired genetic algorithms for hard packing problems

Philipp Rohlfshagen, John A. Bullinaria, J. Bullinaria, 2010, Ann. Oper. Res..

Artificial Bee Colony training of neural networks: comparison with back-propagation

Khulood AlYahya, John A. Bullinaria, J. Bullinaria, 2014, Memetic Comput..

Text to phoneme alignment and mapping for speech technology: A neural networks approach

John A. Bullinaria, 2011, The 2011 International Joint Conference on Neural Networks.

Parallel problem solving from nature - PPSN VIII : 8th International Conference, Birmingham, UK, September 18-22, 2004 : proceedings

Edmund K. Burke, Xin Yao, Jose A. Lozano, 2004 .

Free Gifts from Connectionist Modelling

John A. Bullinaria, J. Bullinaria, 2000, Information Theory and the Brain.

Evolving neural networks: Is it really worth the effort?

John A. Bullinaria, J. Bullinaria, 2005, ESANN.

Evolved age dependent plasticity improves neural network performance

John A. Bullinaria, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

The Evolution Of Variable Learning Rates

John A. Bullinaria, J. Bullinaria, 2002, GECCO.

Neural Network Control Systems that Learn to Perform Appropriately

John A. Bullinaria, Patricia M. Riddell, 2001, Int. J. Neural Syst..

Internal Representations of a Connectionist Model of Reading Aloud

John A. Bullinaria, 2013 .

Artificial Bee Colony Training of Neural Networks

Khulood AlYahya, John A. Bullinaria, J. Bullinaria, 2013, NICSO.

Neural network ensembles for time series forecasting

John A. Bullinaria, Victor M. Landassuri-Moreno, 2009, GECCO '09.

Understanding the Emergence of Modularity in Neural Systems

John A. Bullinaria, J. Bullinaria, 2007, Cogn. Sci..

Evolving improved incremental learning schemes for neural network systems

John A. Bullinaria, Tebogo Seipone, 2005, 2005 IEEE Congress on Evolutionary Computation.

Neural network models of reading multi-syllabic words

John A. Bullinaria, J. Bullinaria, J. Bullinaria, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

ON THE EVOLUTION OF IRRATIONAL BEHAVIOUR

John A. Bullinaria, J. Bullinaria, 2004 .

Modelling Reaction Times

John A. Bullinaria, 1995 .

EVOLVING NEURAL NETWORKS THAT SUFFER MINIMAL CATASTROPHIC FORGETTING

John A. Bullinaria, Tebogo Seipone, 2005 .

Learning and Evolution of Control Systems

John A. Bullinaria, Patricia M. Riddell, 2006 .

Modelling Lexical Decision: Who needs a lexicon?

John A. Bullinaria, J. Bullinaria, 1995 .

Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows

Abel García-Nájera, John A. Bullinaria, 2010, PPSN.

Simulating nonlocal systems: Rules of the game

John A. Bullinaria, J. Bullinaria, 1994 .

Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used?

Joseph P. Levy, John A. Bullinaria, J. Bullinaria, 2000, NCPW.

Imitative and Direct Learning as Interacting Factors in Life History Evolution

John A. Bullinaria, J. Bullinaria, 2017, Artificial Life.

Analyzing the Internal Representations of Trained Neural Networks

John A. Bullinaria, J. Bullinaria, 1997 .

Connectionist Models of Reading: Incorporating Semantics

John A. Bullinaria, J. Bullinaria, 1996 .

Simulating the Evolution of Modular Neural Systems

John A. Bullinaria, J. Bullinaria, 2001 .

The effect of learning on life history evolution

John A. Bullinaria, 2007, GECCO '07.

Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance

Abel García-Nájera, John A. Bullinaria, J. Bullinaria, 2009, EMO.

ANOTHER REASON WHY WE SHOULD LOOK AFTER OUR CHILDREN

John A. Bullinaria, 2008 .

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios

Dario Floreano, Claudio Mattiussi, Andrea Soltoggio, 2008, ALIFE.

A genetic algorithm with exon shuffling crossover for hard bin packing problems

Philipp Rohlfshagen, John A. Bullinaria, J. Bullinaria, 2007, GECCO '07.

USING ENRICHED SEMANTIC REPRESENTATIONS IN PREDICTIONS OF HUMAN BRAIN ACTIVITY

Joseph P. Levy, John A. Bullinaria, 2011 .

Regularization in oculomotor adaptation

Simon K. Rushton, John A. Bullinaria, Patricia M. Riddell, 1999, ESANN.

ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem

Philipp Rohlfshagen, John A. Bullinaria, J. Bullinaria, 2007, GECCO '07.

4th Neural Computation and Psychology Workshop, London, 9–11 April 1997

David Glasspool, George Houghton, John A. Bullinaria, 1998, Perspectives in Neural Computing.

Identification and Exploitation of Linkage by Means of Alternative Splicing

Philipp Rohlfshagen, John A. Bullinaria, J. Bullinaria, 2008, Linkage in Evolutionary Computation.

Optimizing the learning of binary mappings

John A. Bullinaria, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Using evolution to improve neural network learning: pitfalls and solutions

John A. Bullinaria, J. Bullinaria, 2007, Neural Computing and Applications.

Connectionist Modelling of Spelling

John A. Bullinaria, J. Bullinaria, 2019, Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society.

A New Approach for Incremental Modular Neural Networks in Time Series Forecasting

John A. Bullinaria, V. Landassuri-Moreno, J. Bullinaria, 2008 .

An introduction to computational intelligence techniques for robot control

Xiaoli Li, John A. Bullinaria, 2007, Ind. Robot.

Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks

John A. Bullinaria, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES

John A. Bullinaria, Edward Robinson, 2009 .

Generational versus steady-state evolution for optimizing neural network learning

John A. Bullinaria, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Regularization in oculomotor control

John A. Bullinaria, Patricia M. Riddell, 2000, ESANN.

THE EVOLUTION OF GATED SUB-NETWORKS AND MODULARITY IN THE HUMAN BRAIN

John A. Bullinaria, J. Bullinaria, 2002 .

Neural Network Learning from Ambiguous Training Data

John A. Bullinaria, J. Bullinaria, 1995, Connect. Sci..

Biasing the evolution of modular neural networks

John A. Bullinaria, Victor M. Landassuri-Moreno, J. Bullinaria, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Lifetime Learning as a Factor in Life History Evolution

John A. Bullinaria, 2009, Artificial Life.

Extracting Semantic Representations from Large Text Corpora

Malti Patel, Joseph P. Levy, John A. Bullinaria, 1997, NCPW.

Implicit alternative splicing for genetic algorithms

Philipp Rohlfshagen, John A. Bullinaria, 2007, 2007 IEEE Congress on Evolutionary Computation.

Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms

John A. Bullinaria, Jose Sánchez-Velazco, J. Bullinaria, 2003, Neural Networks and Computational Intelligence.

Memes in Artificial Life Simulations of Life History Evolution

John A. Bullinaria, J. Bullinaria, 2010, ALIFE.

Ambiguous Data in Connectionist Language Processing Models

John A. Bullinaria, J. Bullinaria, 1996 .

Population-Based Simulation of Gender Inequality Issues

John A. Bullinaria, J. Bullinaria, 2016, ALIFE.

Modelling the Acquisition of Reading Skills

John A. Bullinaria, J. Bullinaria, 2001 .

Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments

Philipp Rohlfshagen, John A. Bullinaria, J. Bullinaria, 2006, 2006 IEEE International Conference on Evolutionary Computation.

The Evolution of Minimal Catastrophic Forgetting in Neural Systems

John A. Bullinaria, Tebogo Seipone, J. Bullinaria, 2005 .

Comparison of similarity measures for the multi-objective vehicle routing problem with time windows

Abel García-Nájera, John A. Bullinaria, 2009, GECCO '09.

Connectionist modelling: Implications for cognitive neuropsychology

Nick Chater, John A. Bullinaria, N. Chater, 1995 .

A Multi-Objective Density Restricted Genetic Algorithm for t he Vehicle Routing Problem with Time Windows

Abel García-Nájera, John A. Bullinaria, 2008 .

Connectionist Models of Cognition and Perception.

John A. Bullinaria, Will Lowe, J. Bullinaria, 2002 .

Limiting Factors for Mapping Corpus-Based Semantic Representations to Brain Activity

Joseph P. Levy, John A. Bullinaria, J. Bullinaria, 2013, PloS one.

Connectionist Dissociations, Confounding Factors and Modularity

John A. Bullinaria, 1999 .

Gendered Selection Strategies in Genetic Algorithms for Optimization

John A. Bullinaria, J. Bullinaria, José Sánchez-Velazco, 2003 .