Bullinaria, J 2018, 'Agent-Based Models of Gender Inequalities in Career Progression', Journal of Artificial Societies and Social Simulation, vol. 21, no. 3, 7. <http://jasss.soc.surrey.ac.uk/21/3/7.html>
Bullinaria, JA 2018, 'Evolution of learning strategies in changing environments', Cognitive Systems Research, vol. 52, pp. 429-449. https://doi.org/10.1016/j.cogsys.2018.07.024
Bullinaria, J 2017, 'Imitative and Direct Learning as Interacting Factors in Life History Evolution', Artificial Life, vol. 23, no. 3, pp. 374-405. https://doi.org/10.1162/ARTL_a_00237
Garcia Najera, A, Bullinaria, J & Gutiérrez-Andrade, M 2015, 'An evolutionary approach for multi-objective vehicle routing problems with backhauls', Computers & Industrial Engineering, vol. 81, pp. 90-108. https://doi.org/10.1016/j.cie.2014.12.029
Bullinaria, J & Alyahya, K 2014, 'Artificial Bee Colony training of neural networks: comparison with back-propagation', Memetic Computing, vol. 6, no. 3, pp. 171-182. https://doi.org/10.1007/s12293-014-0137-7
Bullinaria, JA & Levy, JP 2013, 'Limiting factors for mapping corpus-based semantic representations to brain activity', PLoS ONE, vol. 8, no. 3, e57191. https://doi.org/10.1371/journal.pone.0057191
Bullinaria, J & Levy, JP 2012, 'Extracting Semantic Representations From Word Co-Occurrence Statistics: Stop-Lists, Stemming, and Svd', Behavior Research Methods, vol. 44, no. 3, pp. 890-907. https://doi.org/10.3758/s13428-011-0183-8
Garcia Najera, A & Bullinaria, J 2011, 'An Improved Multi-Objective Evolutionary Algorithm for the Vehicle Routing Problem with Time Windows', Computers & Operations Research, vol. 38, no. 1, pp. 287-300. https://doi.org/10.1016/j.cor.2010.05.004
Bullinaria, J & Alyahya, K 2014, Artificial bee colony training of neural networks. in G Terrazas, FEB Otero & AD Masegosa (eds), Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): learning, optimization and interdisciplinary applications. Springer, pp. 191-201, Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), United Kingdom, 2/09/13. <http://www.springer.com/gp/book/9783319016917>
Levy, JP, Bullinaria, J & McCormick, S 2017, Semantic vector evaluation and human performance on a new vocabulary MCQ test. in G Gunzelmann, A Howes, T Tenbrink & E Davelaar (eds), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017). Cognitive Science Society, Austin, TX, pp. 2549-2554, 39th Annual Meeting of the Cognitive Science Society, London, United Kingdom, 26/07/17. <https://mindmodeling.org/cogsci2017/cogsci17_proceedings.pdf>
Bullinaria, J 2016, Population-Based Simulation of Gender Inequality Issues. in C Gershenson, T Foese, JM Siqueiros, W Aguilar, EJ Izquierdo & H Sayama (eds), Proceedings of the Artificial Life Conference 2016. MIT Press, pp. 452-459, The Artificial Life Conference 2016, Cancun, Mexico, 4/07/16. https://doi.org/10.7551/978-0-262-33936-0-ch073
Levy, JP & Bullinaria, J 2012, Using Enriched Semantic Representations in Predictions of Human Brain Activity. in EJ Davelaar (ed.), Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications. World Scientific, pp. 292-308, Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications, Proceedings of the 12th Neural Computation and Psychology Workshop, 13/10/11.
Bullinaria, J 2011, Text to Phoneme Alignment and Mapping for Speech Technology: a Neural Networks Approach. in Neural Networks (IJCNN), The 2011 International Joint Conference on. Institute of Electrical and Electronics Engineers (IEEE), pp. 625-632, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), 5/07/11. https://doi.org/10.1109/IJCNN.2011.6033279
Landassuri-Moreno, V & Bullinaria, J 2011, 'Biasing the Evolution of Modular Neural Networks', Paper presented at Proceedings of 2011 IEEE Congress of Evolutionary Computation (CEC 2011), 8/06/11 pp. 1958-1965. https://doi.org/10.1109/CEC.2011.5949855
Bullinaria, J 2011, 'Text to Phoneme Alignment and Mapping for Speech Technology: A Neural Networks Approach', Paper presented at 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose), San Jose, CA, USA, 31/07/11 - 5/08/11.
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