Anikó Ekárt
Anikó Ekárt
Professor, 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
A study on mental state classification using eeg-based brain-machine interface
JJ Bird, LJ Manso, EP Ribeiro, A Ekart, DR Faria
2018 international conference on intelligent systems (IS), 795-800, 2018
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
Selection based on the pareto nondomination criterion for controlling code growth in genetic programming
A Ekart, SZ Nemeth
Genetic Programming and Evolvable Machines 2, 61-73, 2001
Maintaining the diversity of genetic programs
A Ekárt, SZ Németh
European Conference on Genetic Programming, 162-171, 2002
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
A metric for genetic programs and fitness sharing
A Ekárt, SZ Németh
European Conference on Genetic Programming, 259-270, 2000
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
Fruit quality and defect image classification with conditional GAN data augmentation
JJ Bird, CM Barnes, LJ Manso, A Ekárt, DR Faria
Scientia Horticulturae 293, 110684, 2022
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain‐Machine Interaction
JJ Bird, DR Faria, LJ Manso, A Ekárt, CD Buckingham
Complexity 2019 (1), 4316548, 2019
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
Problem difficulty and code growth in genetic programming
S Gustafson, A Ekart, E Burke, G Kendall
Genetic Programming and Evolvable Machines 5, 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
Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification
JJ Bird, A Ekárt, DR Faria
Journal of Ambient Intelligence and Humanized Computing 14 (4), 3129-3144, 2023
Synthetic biological signals machine-generated by GPT-2 improve the classification of EEG and EMG through data augmentation
JJ Bird, M Pritchard, A Fratini, A Ekárt, DR Faria
IEEE Robotics and Automation Letters 6 (2), 3498-3504, 2021
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
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
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, 6021-6031, 2020
Shorter fitness preserving genetic programs
A Ekart
European conference on artificial evolution, 73-83, 1999
A study on CNN image classification of EEG signals represented in 2D and 3D
JJ Bird, DR Faria, LJ Manso, PPS Ayrosa, A Ekart
Journal of Neural Engineering 18 (2), 026005, 2021
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