Chloe M. Barnes

Aston University — United Kingdom

Computer Science · Physical Sciences

6h-index150citations25works1.22yr avg
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Research Topics

Reinforcement Learning in Robotics(4), Plant and animal studies(3), Neural dynamics and brain function(3), Ecology and Vegetation Dynamics Studies(2), EEG and Brain-Computer Interfaces(2)

Publications25 total

Sustainable Artificial Intelligence: A Perspective on Society, Ethics, and the Environment
Women in engineering and science·2025
Enhancing pollinator conservation: Monitoring of bees through object recognition
Computers and Electronics in Agriculture·2024· 4 citedOpen Access
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition
arXiv (Cornell University)·2024Open Access
Monoprinting, Emotion, and the Human Form
IMPACT Printmaking Journal·2024Open Access
AI Generated Art: Latent Diffusion-Based Style and Detection
Advances in intelligent systems and computing·2024· 2 cited
Sexual dimorphism in wing pigmentation promotes rapid species diversification in Zygoptera but not Anisoptera
2023Open Access
Sexual dimorphism in wing pigmentation promotes rapid species diversification in Zygoptera but not Anisoptera
2022Open Access
A Study on Psychometric Assessment Data for Autonomous Dementia Detection
2022Open Access
Centralised and Decentralised Control of Video Game Agents
Advances in intelligent systems and computing·2021
Fruit quality and defect image classification with conditional GAN data augmentation
Scientia Horticulturae·2021· 6 citedOpen Access
Evolving Neuromodulated Controllers in Variable Environments
2021Open Access
Explaining Evolutionary Agent-Based Models via Principled Simplification
Artificial Life·2021· 3 cited
Fruit Quality and Defect Image Classification with Conditional GAN Data\n Augmentation
arXiv (Cornell University)·2021Open Access
Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility
ACM Transactions on Autonomous and Adaptive Systems·2020· 1 citedOpen Access
Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach
PLoS ONE·2020· 25 citedOpen Access
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks
2020· 2 cited
Beyond goal-rationality: Traditional action can reduce volatility in socially situated agents
Future Generation Computer Systems·2020· 4 cited
A Minimal River Crossing Task to Aid the Explainability of Evolutionary Agents
2020· 1 cited
Social Action in Socially Situated Agents
2019· 10 cited
"When you Believe in Things that you don't Understand": the Effect of Cross-Generational Habits on Self-Improving System Integration
2019· 3 cited
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Frequent Co-authors

Anikó Ekárt(9), Peter R. Lewis(9), Jordan J. Bird(7), Diego R. Faria(3), Kai Olav Ellefsen(3), Kyrre Glette(3), Jim Tørresen(3), Lukas Esterle(2), Luis J. Manso(2), Ajay John Alex(2), Pedro Machado(2), Isibor Kennedy Ihianle(2), Gábor Markó(2), Martin Bencsik(2), Abida Ghouri(2), Benjamín Padilla‐Morales(2), Katie E. Davis(2), Aldo Carillo Muñoz(2), Óscar García-Miranda(2), Daniel Castillo-Morales(2)