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Number of items: 19.


Bird, Jordan, Faria, Diego, Manso, Luis J., Ekárt, Anikó and Buckingham, Christopher D (2019). A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complexity , (In Press)

Fathalla, Karma M., Ekárt, Anikó and Gherghel, Doina (2018). Partially Lazy Classification of Cardiovascular Risk via Multi-way Graph Cut Optimization. Procedia Computer Science, 126 , pp. 576-585.

Patelli, Alina, Lewis, Peter R., Ekárt, Anikó, Wang, Hai, Nabney, Ian T., Bennett, David, Lucas, Ralph and Cole, Alex (2017). An architecture for the autonomic curation of crowdsourced knowledge. Cluster Computing, in pre ,

Ekárt, Anikó and Lewis, Peter R. (2017). Genotype–phenotype mapping implications for genetic programming representation:commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin. Genetic Programming and Evolvable Machines, in pre ,

Seshadri, Swathi, Ekart, Aniko and Gherghel, Doina (2016). Ageing effect on flicker-induced diameter changes in retinal microvessels of healthy individuals. Acta Ophthalmologica, 94 (1), e35-e42.

Seshadri, Swathi, Mroczkowska, Stephanie, Qin, Lu, Patel, Sunni, Ekárt, Aniko and Gherghel, Doina (2015). Systemic circulatory influences on retinal microvascular function in middle-age individuals with low to moderate cardiovascular risk. Acta Ophthalmologica, 93 (4), e266-e274.

Ilie-Zudor, Elisabeth, Ekárt, Anikó, Kemény, Zsolt, Buckingham, Christopher, Welch, Philip and Monostori, László (2015). Advanced predictive-analysis-based decision support for collaborative logistics networks. Supply Chain Management, 20 (4), pp. 369-388.

Ekárt, Anikó (2014). Emergence in genetic programming:let's exploit it! Genetic Programming and Evolvable Machines, 15 (1), pp. 83-85.

Ilie-Zudor, Elisabeth, Kemény, Zsolt, Ekárt, Anikó, Buckingham, Christopher D. and Monostori, László (2014). A solution for information management in logistics operations of modern manufacturing chains. Procedia CIRP, 25 , pp. 337-344.

Joó, A.M., Ekárt, Aniko and Neirotti, Juan P. (2012). Genetic algorithms for discovery of matrix multiplication methods. IEEE Transactions on Evolutionary Computation, 16 (5), pp. 749-751.

Ekárt, Anikó, Joó, András, Sharma, Divya and Chalakov, Stayko (2012). Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of Mathematics and the Arts, 6 (2-3), pp. 107-124.

Richards, P. and Ekárt, A. (2010). Hierarchical case-based reasoning to support knitwear design. Cirp Journal of Manufacturing Science and Technology, 2 (4), pp. 299-309.

Book Section

Lewis, Peter R. and Ekart, Aniko (2017). Social and asocial learning in collective action problems:the rise and fall of socially-beneficial behaviour. IN: Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. IEEE.

Ekárt, Anikó, Patelli, Alina, Lush, Victoria and Ilie-Zudor, Elisabeth (2017). Gaining insights into road traffic data through genetic improvement. IN: GECCO '17: proceedings of the Genetic and Evolutionary Computation Conference. New York, NY (US): ACM.

Griffiths, Thomas D. and Ekárt, Anikó (2017). Improving the Tartarus problem as a benchmark in genetic programming. IN: Genetic programming. McDermott, James; Castelli, Mauro; Sekanina, Lukas and et al (eds) Lecture Notes in Computer Science . Cham (CH): Springer.

Vinhas, Adriano, Assuncção, Filipe, Correira, João, Ekárt, Aniko and Machado, Penousal (2016). Fitness and novelty in evolutionary art. IN: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Johnson, Colin; Ciesielski, Vic; Correia, João and Machado, Penousal (eds) Lecture Notes in Computer Science . Springer.

Machado, Penousal, Vinhas, Adriano, Correia, João and Ekárt, Aniko (2015). Evolving ambiguous images. IN: Proceedings of the twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI 2015. International Joint Conferences on Artificial Intelligence.

Ekárt, Anikó, Chalakov, Stayko and Sharma, Divya (2011). Modelling human preference in evolutionary art. IN: Applications of Evolutionary Computation EvoApplications 2011. Lecture notes in computer science . London (UK): Springer.


Ekárt, A., Nemeth, A. and Nemeth, S. (2010). Rapid heuristic projection on simplicial cones. Working Paper. UNSPECIFIED.

This list was generated on Fri Mar 22 01:36:36 2019 GMT.