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 | 49 | 2019 |
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 | 40 | 2020 |
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 | 39 | 2021 |
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 | 35 | 2021 |
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 | 20 | 2018 |
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 | 18 | 2016 |
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 | 14 | 2018 |
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 | 14 | 2017 |
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 | 14 | 2014 |
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 | 14 | 2011 |
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 | 9 | 2016 |
A Computational Model of Innate Directional Selectivity Refined by Visual Experience SV Adams, CM Harris Scientific Reports 5, 2015 | 9 | 2015 |
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 | 8 | 2014 |
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 | 7 | 2015 |
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 | 7 | 2003 |
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 | 6 | 2020 |
A proto-architecture for innate directionally selective visual maps SV Adams, CM Harris Plos one 9 (7), e102908, 2014 | 6 | 2014 |
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 | 5 | 2016 |
Deep learning to improve weather predictions PD Dueben, P Bauer, S Adams Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 4 | 2021 |