Outputs (2)

Evolution of Electronic Circuits using Carbon Nanotube Composites (2016)
Journal Article
Massey, M., Kotsialos, A., Volpati, D., Vissol-Gaudin, E., Pearson, C., Bowen, L., …Petty, M. (2016). Evolution of Electronic Circuits using Carbon Nanotube Composites. Scientific Reports, 6, Article 32197. https://doi.org/10.1038/srep32197

Evolution-in-materio concerns the computer controlled manipulation of material systems using external stimuli to train or evolve the material to perform a useful function. In this paper we demonstrate the evolution of a disordered composite material,... Read More about Evolution of Electronic Circuits using Carbon Nanotube Composites.

Style Augmentation: Data Augmentation via Style Randomization
Presentation / Conference Contribution
Jackson, P., Atapour-Abarghouei, A., Bonner, S., Breckon, T., & Obara, B. (2019, June). Style Augmentation: Data Augmentation via Style Randomization. Presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition, Deep Vision, Long Beach, CA, USA

We introduce style augmentation, a new form of data augmentation based on random style transfer, for improving the robustness of Convolutional Neural Networks (CNN) over both classification and regression based tasks. During training, style augmentat... Read More about Style Augmentation: Data Augmentation via Style Randomization.