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Article

Easton, Edward, Ekárt, Anikó and Bernardet, Ulysses (2022). Axial Generation: Mixing Colour and Shapes to Automatically Form Diverse Digital Sculptures. SN Computer Science, 3 (6),

Shokr, Hala, Lush, Victoria, Dias, Irundika Hk, Ekárt, Anikó, De Moraes, Gustavo and Gherghel, Doina (2022). The Use of Retinal Microvascular Function and Telomere Length in Age and Blood Pressure Prediction in Individuals with Low Cardiovascular Risk. Cells, 11 (19),

Bird, Jordan J., Barnes, Chloe M., Manso, Luis J., Ekárt, Anikó and Faria, Diego R. (2022). Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae, 293 ,

Barnes, Chloe M., Ekárt, Anikó, Ellefsen, Kai Olav, Glette, Kyrre, Lewis, Peter R. and Tørresen, Jim (2021). Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Transactions on Autonomous and Adaptive Systems, 15 (4), pp. 1-26.

Bird, Jordan J., Ekárt, Anikó and Faria, Diego R. (2021). Chatbot Interaction with Artificial Intelligence:human data augmentation with T5 and language transformer ensemble for text classification. Journal of Ambient Intelligence and Humanized Computing ,

Bird, Jordan J., Pritchard, Michael, Fratini, Antonio, Ekart, Aniko and Faria, Diego (2021). Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation. IEEE Robotics and Automation Letters, 6 (2), pp. 3498-3504.

Bird, Jordan J, Faria, Diego R, Manso, Luis J, Ayrosa, Pedro Paulo Da Silva and Ekart, Aniko (2021). A study on CNN image classification of EEG Signals represented in 2D and 3D. Journal of Neural Engineering, 18 (2),

Bird, Jordan J., Kobylarz, Jhonatan, Faria, Diego R., Ekart, Aniko and Ribeiro, Eduardo P. (2021). Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE Access, 8 , pp. 54789-54801.

Barnes, Chloe M., Ekárt, Anikó and Lewis, Peter R. (2020). Beyond goal-rationality:Traditional action can reduce volatility in socially situated agents. Future Generation Computer Systems, 113 , pp. 579-596.

Kobylarz, Jhonatan, Bird, Jordan J., Faria, Diego R., Ribeiro, Eduardo Parente and Ekárt, Anikó (2020). Thumbs up, thumbs down:non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. Journal of Ambient Intelligence and Humanized Computing, 11 (12), pp. 6021-6031.

Bird, Jordan J., Barnes, Chloe M., Premebida, Cristiano, Ekárt, Anikó and Faria, Diego R. (2020). Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach. PLoS ONE, 15 (10),

Bird, Jordan J., Ekárt, Anikó and Faria, Diego R. (2020). British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors, 20 (18),

Bird, Jordan J., Wanner, Elizabeth, Ekárt, Anikó and Faria, Diego R. (2020). Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, 153 ,

Bird, Jordan, Ekárt, Anikó and Faria, Diego (2020). On the effects of pseudorandom and quantum-random number generators in soft computing. Soft computing, 24 , 9243–9256.

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 ,

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.

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, 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, 18 , 369–372.

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.

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.

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.

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

Oguzie, Goodluck, Ekárt, Anikó and Manso, Luis J. (2024). Predictive World Models for Social Navigation. IN: Advances in Computational Intelligence Systems, Contributions Presented at the 22nd UK Workshop on Computational Intelligence. Naik, Nitin; Jenkins, Paul; Grace, Paul; Yang, Longzhi and Prajapat, Shaligram (eds) Advances in Intelligent Systems and Computing (AISC) . GBR: Springer.

Ashford, Jodie, Ekárt, Anikó and Campelo, Felipe (2024). Estimating the Limits of Organism-Specific Training for Epitope Prediction. IN: 4th Workshop on Artificial Intelligence and Big Data vs. Pandemics. TUR: IEEE.

Hamilton, John rego, Ekárt, Anikó and Patelli, Alina (2023). Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. IN: International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Correia, João; Smith, Stephen and Qaddoura, Raneem (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1). Springer, Cham.

Dar, Sanobar, Ekart, Aniko and Bernardet, Ulysses (2022). The Virtual Human Breathing Coach. IN: Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2022). IEEE VRW Proceedings . NZL: IEEE.

Bird, Jordan J., Faria, Diego R., Premebida, Cristiano, Ekart, Aniko and Vogiatzis, George (2021). Look and listen:A multi-modality late fusion approach to scene classification for autonomous machines. IN: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IEEE International Conference on Intelligent Robots and Systems . USA: IEEE.

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 . DEU: 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.

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.