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Number of items: 22.

Article

Bird, Jordan, Ekárt, Anikó and Faria, Diego (2019). On the effects of pseudorandom and quantum-random number generators in soft computing. Soft computing ,

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, 2019 ,

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.

Powers, Simon T., Ekárt, Anikó and Lewis, Peter (2018). Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. Cognitive Systems Research, 52 , pp. 67-81.

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, 20 (3), 2031–2046.

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

Easton, Edward, Bernardet, Ulysses and Ekart, Aniko (2019). Tired of Choosing? Just Add Structure and Virtual Reality. IN: Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings. Castro Pena, María Luz; Ekárt, Anikó and Liapis, Antonios (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11453 . Springer.

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. USA: 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. DEU: 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 . NLD: 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 . PRT: 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. ARG: 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 . ITA: Springer.

Monograph

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

This list was generated on Wed Nov 20 02:07:59 2019 GMT.