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Nigel H. Goddard
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2020 – today
- 2023
- [i7]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR abs/2306.04343 (2023) - [i6]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Data-driven Prior Learning for Bayesian Optimisation. CoRR abs/2311.14653 (2023) - 2022
- [c7]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI 2022: 11908-11916 - [i5]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR abs/2202.07595 (2022) - 2021
- [c6]Zhihan Yang, Nigel H. Goddard, Lynda Webb, Huiwei Chen:
Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic Circle. e-Energy 2021: 341-344 - 2020
- [i4]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Optimising Placement of Pollution Sensors in Windy Environments. CoRR abs/2012.10770 (2020)
2010 – 2019
- 2018
- [j17]Evan Morgan, Lynda Webb, Kate Carter
, Nigel H. Goddard:
Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation. Proc. ACM Hum. Comput. Interact. 2(CSCW): 125:1-125:23 (2018) - [c5]Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton:
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. AAAI 2018: 2604-2611 - [i3]Cillian Brewitt, Nigel H. Goddard:
Non-Intrusive Load Monitoring with Fully Convolutional Networks. CoRR abs/1812.03915 (2018) - 2017
- [c4]Evan Morgan, Lynda Webb, Nigel H. Goddard
Co-Designing Innovations for Energy Saving in Large Organisations. Conference on Designing Interactive Systems (Companion Volume) 2017: 50-54 - 2016
- [i2]Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton:
Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR abs/1612.09106 (2016) - 2015
- [c3]Mingjun Zhong, Nigel H. Goddard, Charles Sutton:
Latent Bayesian melding for integrating individual and population models. NIPS 2015: 3618-3626 - [i1]Mingjun Zhong, Nigel H. Goddard, Charles Sutton:
Latent Bayesian melding for integrating individual and population models. CoRR abs/1510.09130 (2015) - 2014
- [c2]Mingjun Zhong, Nigel H. Goddard, Charles Sutton:
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. NIPS 2014: 3590-3598 - 2012
- [c1]Nigel H. Goddard, Johanna D. Moore, Charles Sutton, Heather Lovell, Janette Webb:
Machine learning and multimedia content generation for energy demand reduction. SustainIT 2012: 1-5
2000 – 2009
- 2007
- [j16]Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard:
Catalyzer: a novel tool for integrating, managing and publishing heterogeneous bioscience data. Concurr. Comput. Pract. Exp. 19(2): 207-221 (2007) - 2004
- [j15]Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard:
How do we get the data to build computational models? Neurocomputing 58-60: 1103-1108 (2004) - [j14]Ian J. Deary, Enrico Simonotto, Martin Meyer
The functional anatomy of inspection time: an event-related fMRI study. NeuroImage 22(4): 1466-1479 (2004) - 2003
- [j13]Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard, H. Bringmann, P. Rogister, Hugo Cornelis:
Linking computational neuroscience simulation tools - a pragmatic approach to component-based development. Neurocomputing 52-54: 289-294 (2003) - [j12]Nicola De Pisapia, Nigel H. Goddard:
A neural model of frontostriatal interactions for behavioural planning and action chunking. Neurocomputing 52-54: 489-495 (2003) - [j11]Nigel H. Goddard, Robert C. Cannon, Fredrick W. Howell:
Axiope tools for data management and data sharing. Neuroinformatics 1(3): 271-284 (2003) - [j10]Daniel Gardner, Arthur W. Toga, Giorgio A. Ascoli, Jackson T. Beatty, James F. Brinkley, Anders M. Dale, Peter T. Fox, Esther P. Gardner, John S. George, Nigel H. Goddard, Kristen M. Harris
Towards effective and rewarding data sharing. Neuroinformatics 1(3): 289-295 (2003) - 2002
- [j9]Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard:
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing 44-46: 453-458 (2002) - [j8]Nigel H. Goddard, David Beeman, Robert C. Cannon, Hugo Cornelis, Marc-Oliver Gewaltig, Greg Hood, Fredrick W. Howell, P. Rogister, Erik De Schutter, K. Shankar, Michael Hucka
NeuroML for plug and play neuronal modeling. Neurocomputing 44-46: 1077-1081 (2002) - 2001
- [j7]Nigel H. Goddard, Greg Hood, Fredrick W. Howell, Michael L. Hines, Erik De Schutter:
NEOSIM: Portable large-scale plug and play modelling. Neurocomputing 38-40: 1657-1661 (2001) - 2000
- [j6]Fredrick W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Maex
A large-scale model of the cerebellar cortex using PGENESIS. Neurocomputing 32-33: 1041-1046 (2000)
1990 – 1999
- 1997
- [j5]Nigel H. Goddard, Greg Hood, Jonathan Cohen, William F. Eddy, Christopher R. Genovese, Douglas C. Noll, Leigh E. Nystrom:
Online Analysis of Functional MRI Datasets on Parallel Platforms. J. Supercomput. 11(3): 295-318 (1997) - 1993
- [j4]Nigel H. Goddard:
Michael C. Mozer, The Perception of Multiple Objects: A Connectionist Approach. Artif. Intell. 62(1): 165-177 (1993) - 1992
- [j3]Nigel H. Goddard:
David Touretzky, Geoffrey Hinton and Terrence Sejnowski eds., Proceedings of the 1988 Connectionist Models Summer School. Artif. Intell. 53(2-3): 345-353 (1992)
1980 – 1989
- 1988
- [j2]Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard, Kenton J. Lynne:
Computing with Structured Connectionist Networks. Commun. ACM 31(2): 170-187 (1988) - [j1]Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard:
Computing with Structured Neural Networks. Computer 21(3): 91-103 (1988)
Coauthor Index
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