| Extracting semantic representations from word co-occurrence statistics: A computational study JA Bullinaria, JP Levy Behavior research methods 39, 510-526, 2007 | 1005 | 2007 |
| Extracting semantic representations from word co-occurrence statistics: stop-lists, stemming, and SVD JA Bullinaria, JP Levy Behavior research methods 44, 890-907, 2012 | 379 | 2012 |
| An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows A Garcia-Najera, JA Bullinaria Computers & Operations Research 38 (1), 287-300, 2011 | 263 | 2011 |
| Modeling Reading, Spelling, and Past Tense Learning with Artificial Neural Networks JA Bullinaria Brain and Language 59 (2), 236-266, 1997 | 179 | 1997 |
| Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios A Soltoggio, JA Bullinaria, C Mattiussi, P Dürr, D Floreano Proceedings of the 11th international conference on artificial life (Alife …, 2008 | 175 | 2008 |
| Connectionist modelling: Implications for cognitive neuropsychology JA Bullinaria, N Chater Language and Cognitive Processes 10 (3-4), 227-264, 1995 | 170 | 1995 |
| Learning lexical properties from word usage patterns: Which context words should be used? JP Levy, JA Bullinaria Connectionist Models of Learning, Development and Evolution: Proceedings of …, 2001 | 72 | 2001 |
| Recurrent neural networks JA Bullinaria Neural Computation: Lecture 12 (1), 2013 | 70 | 2013 |
| Extracting semantic representations from large text corpora M Patel, JA Bullinaria, JP Levy 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 …, 1998 | 66 | 1998 |
| An evolutionary approach for multi-objective vehicle routing problems with backhauls A García-Nájera, JA Bullinaria, MA Gutiérrez-Andrade Computers & Industrial Engineering 81, 90-108, 2015 | 62 | 2015 |
| Understanding the emergence of modularity in neural systems JA Bullinaria Cognitive science 31 (4), 673-695, 2007 | 57 | 2007 |
| Self organizing maps: fundamentals JA Bullinaria Introduction to Neural 15, 2004 | 53 | 2004 |
| Introduction to neural networks JA Bullinaria University of Birmingham, UK, 2004 | 52 | 2004 |
| A genetic algorithm with exon shuffling crossover for hard bin packing problems P Rohlfshagen, JA Bullinaria Proceedings of the 9th annual conference on genetic and evolutionary …, 2007 | 48 | 2007 |
| Neural network models of reading: solving the alignment problem without Wickelfeatures JA Bullinaria Connectionist models of memory and language, 161-178, 1995 | 48* | 1995 |
| Sexual selection with competitive/co-operative operators for genetic algorithms J Sánchez-Velazco, JA Bullinaria International Conference on Neural Networks and Computational Intelligence …, 2003 | 45 | 2003 |
| Artificial bee colony training of neural networks JA Bullinaria, K AlYahya Nature Inspired Cooperative Strategies for Optimization (NICSO 2013 …, 2014 | 44 | 2014 |
| Neural network ensembles for time series forecasting VM Landassuri-Moreno, JA Bullinaria Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 44 | 2009 |
| Double dissociation in artificial neural networks: Implications for neuropsychology JA Bullinaria, N Chater Proceedings of the Fifteenth Annual Conference of the Cognitive Science …, 1993 | 44 | 1993 |
| Artificial bee colony training of neural networks: comparison with back-propagation JA Bullinaria, K AlYahya Memetic Computing 6, 171-182, 2014 | 39 | 2014 |
Joe LevyPrincipal Lecturer, Department of Psychology, University of Roehampton, London.Verified email at roehampton.ac.uk
