← Search

Jordan J. Bird

2 accepted papers

2021

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation

RA-L 2021

Synthetic data augmentation is of paramount importance for machine learning classification, particularly for biological data, which tend to be high dimensional and with a scarcity of training samples. The applications of robotic control and augmentation in disabled and able-bodied subjects still rel

Cited by 60SourceScholar
2020

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines

IROS 2020poster

The novelty of this study consists in a multi-modality approach to scene classification, where image and audio complement each other in a process of deep late fusion. The approach is demonstrated on a difficult classification problem, consisting of two synchronised and balanced datasets of 16,000 da…

Cited by 13SourceScholar