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Samantha Adams
Samantha Adams
Met Office
Verified email at samantha-adams.me.uk - Homepage
Title
Cited by
Cited by
Year
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models
SV Adams, RW Ford, M Hambley, JM Hobson, I Kavčič, CM Maynard, ...
Journal of Parallel and Distributed Computing 132, 383-396, 2019
492019
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ...
arXiv preprint arXiv:2005.04988, 2020
402020
Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop
SE Haupt, W Chapman, SV Adams, C Kirkwood, JS Hosking, ...
Philosophical Transactions of the Royal Society A 379 (2194), 20200091, 2021
392021
Quantifying causal pathways of teleconnections
M Kretschmer, SV Adams, A Arribas, R Prudden, N Robinson, E Saggioro, ...
Bulletin of the American Meteorological Society 102 (12), E2247-E2263, 2021
352021
Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network
DH García, S Adams, A Rast, T Wennekers, S Furber, A Cangelosi
Robotics and Autonomous Systems 104, 56-71, 2018
202018
Diverse, noisy and parallel: a new spiking neural network approach for humanoid robot control
R de Azambuja, A Cangelosi, SV Adams
2016 International Joint Conference on Neural Networks (IJCNN), 1134-1142, 2016
182016
Behavioral learning in a cognitive neuromorphic robot: An integrative approach
AD Rast, SV Adams, S Davidson, S Davies, M Hopkins, A Rowley, ...
IEEE Transactions on Neural Networks and Learning Systems 29 (12), 6132-6144, 2018
142018
Short-term plasticity in a liquid state machine biomimetic robot arm controller
R de Azambuja, FB Klein, SV Adams, MF Stoelen, A Cangelosi
2017 International Joint Conference on Neural Networks (IJCNN), 3399-3408, 2017
142017
Towards real-world neurorobotics: Integrated neuromorphic visual attention
SV Adams, AD Rast, C Patterson, F Galluppi, K Brohan, ...
Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014
142014
Application of arachnid prey localisation theory for a robot sensorimotor controller
SV Adams, T Wennekers, G Bugmann, S Denham, PF Culverhouse
Neurocomputing 74 (17), 3335-3342, 2011
142011
Graceful degradation under noise on brain inspired robot controllers
R de Azambuja, FB Klein, MF Stoelen, SV Adams, A Cangelosi
International Conference on Neural Information Processing, 195-204, 2016
92016
A Computational Model of Innate Directional Selectivity Refined by Visual Experience
SV Adams, CM Harris
Scientific Reports 5, 2015
92015
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. arXiv 2020
R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ...
arXiv preprint arXiv:2005.04988, 0
9
Learning visual-motor cell assemblies for the iCub robot using a neuroanatomically grounded neural network
SV Adams, T Wennekers, A Cangelosi, M Garagnani, F Pulvermüller
2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms …, 2014
82014
Transport-independent protocols for universal AER communications
AD Rast, AB Stokes, S Davies, SV Adams, H Akolkar, DR Lester, ...
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015
72015
Assessment strategies: how patients cope with the diverse quality levels of websites when searching for health information
S Adams
Proceedings: A Conference of the American Medical Informatics Association …, 2003
72003
A review of radar-based nowcasting of precipitation and applicable machine learning techniques, arXiv
R Prudden, S Adams, D Kangin, N Robinson, S Ravuri, S Mohamed, ...
arXiv preprint arXiv:2005.04988 11, 2020
62020
A proto-architecture for innate directionally selective visual maps
SV Adams, CM Harris
Plos one 9 (7), e102908, 2014
62014
Social development of artificial cognition
T Belpaeme, S Adams, J de Greeff, A di Nuovo, A Morse, A Cangelosi
Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016
52016
Deep learning to improve weather predictions
PD Dueben, P Bauer, S Adams
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
42021
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Articles 1–20