Nigel H. Goddard - researchr alias

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Viewing Publication 1 - 24 from 24

2022

Bayesian Optimisation for Active Monitoring of Air PollutionSigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard. AAAI 2022: 11908-11916 [doi]

2021

Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic CircleZhihan Yang, Nigel H. Goddard, Lynda Webb, Huiwei Chen. eenergy 2021: 341-344 [doi]

2018

Co-Designing a Device for Behaviour-Based Energy Reduction in a Large OrganisationEvan Morgan, Lynda Webb, Kate Carter, Nigel H. Goddard. pacmhci, 2(CSCW), 2018. [doi]

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load MonitoringChaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles A. Sutton. AAAI 2018: 2604-2611 [doi]

2017

Co-Designing Innovations for Energy Saving in Large OrganisationsEvan Morgan, Lynda Webb, Nigel H. Goddard, Janette Webb, Kate Carter. ACMdis 2017: 50-54 [doi]

2015

Latent Bayesian melding for integrating individual and population modelsMingjun Zhong, Nigel H. Goddard, Charles A. Sutton. nips 2015: 3618-3626 [doi]

2014

Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy DisaggregationMingjun Zhong, Nigel H. Goddard, Charles A. Sutton. nips 2014: 3590-3598 [doi]

2012

Machine learning and multimedia content generation for energy demand reductionNigel H. Goddard, Johanna D. Moore, Charles A. Sutton, H. Lovell, Janette Webb. ifip6-3 2012: 1-5 [doi]

2007

Catalyzer: a novel tool for integrating, managing and publishing heterogeneous bioscience dataF. W. Howell, R. C. Cannon, Nigel H. Goddard. concurrency, 19(2):207-221, 2007. [doi]

2004

The functional anatomy of inspection time: an event-related fMRI studyIan J. Deary, Enrico Simonotto, Martin Meyer, Alan Marshall, Ian Marshall, Nigel H. Goddard, Joanna M. Wardlaw. neuroimage, 22(4):1466-1479, 2004. [doi]

How do we get the data to build computational models?Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard. ijon, 58-60:1103-1108, 2004. [doi]

2003

Axiope tools for data management and data sharingNigel H. Goddard, Robert C. Cannon, Fredrick W. Howell. ni, 1(3):271-284, 2003. [doi]

Linking computational neuroscience simulation tools - a pragmatic approach to component-based developmentF. W. Howell, R. C. Cannon, Nigel H. Goddard, H. Bringmann, P. Rogister, Hugo Cornelis. ijon, 52-54:289-294, 2003. [doi]

A neural model of frontostriatal interactions for behavioural planning and action chunkingNicola De Pisapia, Nigel H. Goddard. ijon, 52-54:489-495, 2003. [doi]

2002

2001

NEOSIM: Portable large-scale plug and play modellingNigel H. Goddard, Greg Hood, F. W. Howell, M. Hines, Erik De Schutter. ijon, 38-40:1657-1661, 2001. [doi]

2000

A large-scale model of the cerebellar cortex using PGENESISF. W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Maex, Nigel H. Goddard, Erik De Schutter. ijon, 32-33:1041-1046, 2000. [doi]

1997

Online Analysis of Functional MRI Datasets on Parallel PlatformsNigel H. Goddard, Greg Hood, Jonathan Cohen, William Eddy, Christopher Genovese, Douglas C. Noll, Leigh Nystrom. tjs, 11(3):295-318, 1997. [doi]

1993

Michael C. Mozer, The Perception of Multiple Objects: A Connectionist ApproachNigel H. Goddard. ai, 62(1):165-177, 1993.

1992

David Touretzky, Geoffrey Hinton and Terrence Sejnowski eds., Proceedings of the 1988 Connectionist Models Summer SchoolNigel H. Goddard. ai, 53(2-3):345-353, 1992.

1988

Computing with Structured Connectionist NetworksJerome A. Feldman, Mark A. Fanty, Nigel H. Goddard, Kenton J. Lynne. CACM, 31(2):170-187, 1988.

Computing with Structured Neural NetworksJerome A. Feldman, Mark A. Fanty, Nigel H. Goddard. Computer, 21(3):91-103, 1988.

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