Anikó Ekárt
Anikó Ekárt
Reader, Computer Science, Aston University, United Kingdom
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Cited by
Cited by
Genetic algorithms in computer aided design
G Renner, A Ekárt
Computer-aided design 35 (8), 709-726, 2003
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
E Lomonosov, D Chetverikov, A Ekárt
Pattern Recognition Letters 27 (11), 1201-1208, 2006
Maintaining the diversity of genetic programs
A Ekárt, SZ Németh
European Conference on Genetic Programming, 162-171, 2002
Selection based on the pareto nondomination criterion for controlling code growth in genetic programming
A Ekart, SZ Nemeth
Genetic Programming and Evolvable Machines 2 (1), 61-73, 2001
A metric for genetic programs and fitness sharing
A Ekárt, SZ Németh
European Conference on Genetic Programming, 259-270, 2000
A study on mental state classification using eeg-based brain-machine interface
JJ Bird, LJ Manso, EP Ribeiro, A Ekárt, DR Faria
2018 international conference on intelligent systems (IS), 795-800, 2018
Problem difficulty and code growth in genetic programming
S Gustafson, A Ekart, E Burke, G Kendall
Genetic Programming and Evolvable Machines 5 (3), 271-290, 2004
Advanced predictive-analysis-based decision support for collaborative logistics networks
E Ilie-Zudor, A Ekárt, Z Kemeny, C Buckingham, P Welch, L Monostori
Supply Chain Management: An International Journal 20 (4), 369-388, 2015
Mental emotional sentiment classification with an eeg-based brain-machine interface
JJ Bird, A Ekart, CD Buckingham, DR Faria
Proceedings of theInternational Conference on Digital Image and Signal …, 2019
Coexistence of macro‐and micro‐vascular abnormalities in newly diagnosed normal tension glaucoma patients
S Mroczkowska, A Ekart, V Sung, A Negi, L Qin, SR Patel, S Jacob, ...
Acta ophthalmologica 90 (7), e553-e559, 2012
Cross-domain MLP and CNN transfer learning for biological signal processing: EEG and EMG
JJ Bird, J Kobylarz, DR Faria, A Ekárt, EP Ribeiro
IEEE Access 8, 54789-54801, 2020
Ageing effect on flicker‐induced diameter changes in retinal microvessels of healthy individuals
S Seshadri, A Ekart, D Gherghel
Acta ophthalmologica 94 (1), e35-e42, 2016
A deep evolutionary approach to bioinspired classifier optimisation for brain-machine interaction
JJ Bird, DR Faria, LJ Manso, A Ekárt, CD Buckingham
Complexity 2019, 2019
Shorter fitness preserving genetic programs
A Ekart
European conference on artificial evolution, 73-83, 1999
Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model
Z Jankó, D Chetverikov, A Ekárt
Engineering Applications of Artificial Intelligence 19 (3), 269-276, 2006
Modelling human preference in evolutionary art
A Ekárt, D Sharma, S Chalakov
European Conference on the Applications of Evolutionary Computation, 303-312, 2011
British sign language recognition via late fusion of computer vision and leap motion with transfer learning to american sign language
JJ Bird, A Ekárt, DR Faria
Sensors 20 (18), 5151, 2020
Thumbs up, thumbs down: Non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning
J Kobylarz, JJ Bird, DR Faria, EP Ribeiro, A Ekárt
Journal of Ambient Intelligence and Humanized Computing 11 (12), 6021-6031, 2020
Cloud adoption: Prioritizing obstacles and obstacles resolution tactics using AHP
S Zardari, R Bahsoon, A Ekárt
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 1013-1020, 2014
Using genetic algorithms in computer vision: Registering images to 3D surface model
Z Jankó, D Chetverikov, A Ekárt
Acta Cybernetica 18 (2), 193-212, 2007
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