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Number of items: 8.

Alex, Ajay John, Barnes, Chloe M., Machado, Pedro, Ihianle, Isibor, Markó, Gábor, Bencsik, Martin and Bird, Jordan J. (2025). Enhancing pollinator conservation: Monitoring of bees through object recognition. Computers and Electronics in Agriculture, 228 ,

Barnes, Chloe (2022). A Study on Psychometric Assessment Data for Autonomous Dementia Detection. IN: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2022. ACM International Conference Proceeding Series . GRC: ACM.

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.

Barnes, Chloe, Ghouri, Abida and Lewis, Peter (2021). Explaining Evolutionary Agent-Based Models via Principled Simplification. Artificial Life, 27 (3-4), pp. 143-163.

Barnes, Chloe (2021). Interference and Volatility in Evolutionary Agent-Based Systems. PHD thesis, Aston University.

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.

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),

This list was generated on Wed Apr 2 01:53:03 2025 BST.