activity
20082021
most citedHardware/Software Co-Design for Spike Based Recognition

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021

Rough Set Microbiome Characterisation

Benjamin Wingfield, Sonya Coleman, T. M. McGinnity +1

Microbiota profiles measure the structure of microbial communities in a defined environment (known as microbiomes). In the past decade, microbiome research has focused on health ap…

cs.RO2021

The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems

Hongmei He, John Gray, Angelo Cangelosi +3

The trustworthiness of Robots and Autonomous Systems (RAS) has gained a prominent position on many research agendas towards fully autonomous systems. This research systematically e…

cs.CY2019

Beyond Mobile Apps: A Survey of Technologies for Mental Well-being

Kieran Woodward, Eiman Kanjo, David Brown +4

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such…

cs.CV2018

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing

Diederik Paul Moeys, Daniel Neil, Federico Corradi +7

Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. Conventional vision CNNs are driven by camera frames at…

cs.NE20081 cited

Hardware/Software Co-Design for Spike Based Recognition

Arfan Ghani, Martin McGinnity, Liam Maguire +1

The practical applications based on recurrent spiking neurons are limited due to their non-trivial learning algorithms. The temporal nature of spiking neurons is more favorable for…