Samantha V. Adams

According to our database, Samantha V. Adams authored at least 14 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Dynamic 3-D Visualization of Climate Model Development and Results.

Jeremy Walton, Samantha V. Adams, Wolfgang Hayek, Piotr Florek, Harold Dyson

IEEE Computer Graphics and Applications, 2021

2020

A review of radar-based nowcasting of precipitation and applicable machine learning techniques.

Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas

CoRR, 2020

2019

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models.

Samantha V. Adams, Rupert W. Ford, M. Hambley, J. M. Hobson, I. Kavcic, Christopher M. Maynard, Thomas Melvin, Eike Hermann Müller, S. Mullerworth, Andrew R. Porter, Mike Rezny, Ben Shipway, R. Wong

J. Parallel Distributed Comput., 2019

2018

Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach.

Alexander D. Rast, Samantha V. Adams, Simon Davidson, Sergio Davies, Michael Hopkins, Andrew Rowley, Alan Barry Stokes, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi

IEEE Trans. Neural Networks Learn. Syst., 2018

Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network.

Daniel Hernández García, Samantha V. Adams, Alexander D. Rast, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi

Robotics Auton. Syst., 2018

2017

Parallel IO in the LFRic Infrastructure.

Samantha V. Adams, Olga Abramkina, Yann Meurdesoif, Mike Rezny

Proceedings of the Parallel Computing is Everywhere, 2017

Short-term plasticity in a liquid state machine biomimetic robot arm controller.

Ricardo de Azambuja, Frederico B. Klein, Samantha V. Adams, Martin F. Stoelen, Angelo Cangelosi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Social Development of Artificial Cognition.

Tony Belpaeme, Samantha V. Adams, Joachim de Greeff, Alessandro G. Di Nuovo, Anthony F. Morse, Angelo Cangelosi

Proceedings of the Toward Robotic Socially Believable Behaving Systems - Volume I, 2016

Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control.

Ricardo de Azambuja, Angelo Cangelosi, Samantha V. Adams

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Graceful Degradation Under Noise on Brain Inspired Robot Controllers.

Ricardo de Azambuja, Frederico B. Klein, Martin F. Stoelen, Samantha V. Adams, Angelo Cangelosi

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Transport-Independent Protocols for Universal AER Communications.

Alexander D. Rast, Alan B. Stokes, Sergio Davies, Samantha V. Adams, Himanshu Akolkar, David R. Lester, Chiara Bartolozzi, Angelo Cangelosi, Steve B. Furber

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention.

Samantha V. Adams, Alexander D. Rast, Cameron Patterson, Francesco Galluppi, Kevin Brohan, José Antonio Pérez-Carrasco, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Adaptive training of cortical feature maps for a robot sensorimotor controller.

Samantha V. Adams, Thomas Wennekers, Sue L. Denham, Phil F. Culverhouse

Neural Networks, 2013

2011

Application of arachnid prey localisation theory for a robot sensorimotor controller.

Samantha V. Adams, Thomas Wennekers, Guido Bugmann, Sue L. Denham, Phil F. Culverhouse

Neurocomputing, 2011