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ORCIDSamantha V. Adams
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2020 – today
- 2021
[j6]Jeremy Walton
, Samantha V. Adams, Wolfgang Hayek, Piotr Florek, Harold Dyson:
Dynamic 3-D Visualization of Climate Model Development and Results. IEEE Computer Graphics and Applications 41(1): 17-25 (2021)- 2020
- [i2]Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas:
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. CoRR abs/2005.04988 (2020)
2010 – 2019
- 2019
- [j5]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:
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models. J. Parallel Distributed Comput. 132: 383-396 (2019) - 2018
- [j4]Daniel Hernández García, Samantha V. Adams, Alexander D. Rast, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi:
Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network. Robotics Auton. Syst. 104: 56-71 (2018) - [j3]Alexander D. Rast, Samantha V. Adams, Simon Davidson, Sergio Davies, Michael Hopkins, Andrew Rowley, Alan Barry Stokes, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi:
Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6132-6144 (2018) - [i1]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:
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models. CoRR abs/1809.07267 (2018) - 2017
- [c6]Ricardo de Azambuja, Frederico B. Klein, Samantha V. Adams, Martin F. Stoelen, Angelo Cangelosi:
Short-term plasticity in a liquid state machine biomimetic robot arm controller. IJCNN 2017: 3399-3408 - [c5]Samantha V. Adams, Olga Abramkina, Yann Meurdesoif, Mike Rezny:
Parallel IO in the LFRic Infrastructure. PARCO 2017: 485-494 - 2016
- [c4]Ricardo de Azambuja, Frederico B. Klein, Martin F. Stoelen, Samantha V. Adams, Angelo Cangelosi:
Graceful Degradation Under Noise on Brain Inspired Robot Controllers. ICONIP (1) 2016: 195-204 - [c3]Ricardo de Azambuja, Angelo Cangelosi, Samantha V. Adams:
Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control. IJCNN 2016: 1134-1142 - [p1]Tony Belpaeme, Samantha V. Adams, Joachim de Greeff, Alessandro G. Di Nuovo, Anthony F. Morse, Angelo Cangelosi:
Social Development of Artificial Cognition. Toward Robotic Socially Believable Behaving Systems (I) 2016: 53-72 - 2015
- [c2]Alexander D. Rast, Alan B. Stokes, Sergio Davies, Samantha V. Adams, Himanshu Akolkar, David R. Lester, Chiara Bartolozzi, Angelo Cangelosi, Steve B. Furber:
Transport-Independent Protocols for Universal AER Communications. ICONIP (4) 2015: 675-684 - 2014
- [c1]Samantha V. Adams, Alexander D. Rast, Cameron Patterson, Francesco Galluppi, Kevin Brohan, José Antonio Pérez-Carrasco, Thomas Wennekers, Steve B. Furber, Angelo Cangelosi:
Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention. ICONIP (3) 2014: 563-570 - 2013
- [j2]Samantha V. Adams, Thomas Wennekers, Sue L. Denham, Phil F. Culverhouse:
Adaptive training of cortical feature maps for a robot sensorimotor controller. Neural Networks 44: 6-21 (2013) - 2011
- [j1]Samantha V. Adams, Thomas Wennekers, Guido Bugmann, Sue L. Denham, Phil F. Culverhouse:
Application of arachnid prey localisation theory for a robot sensorimotor controller. Neurocomputing 74(17): 3335-3342 (2011)
Coauthor Index
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