Nigel H. Goddard

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 13

Top Topics

Greenhouse Gases

Data Visualization

Top Venues

Publications

Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR (2023)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Data-driven Prior Learning for Bayesian Optimisation. CoRR (2023)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR (2022)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI (2022)
Zhihan Yang, Nigel H. Goddard, Lynda Webb, Huiwei Chen
Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic Circle. e-Energy (2021)
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
Optimising Placement of Pollution Sensors in Windy Environments. CoRR (2020)
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) (2018)
Cillian Brewitt, Nigel H. Goddard
Non-Intrusive Load Monitoring with Fully Convolutional Networks. CoRR (2018)
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)
Evan Morgan, Lynda Webb, Nigel H. Goddard, Janette Webb, Kate Carter
Co-Designing Innovations for Energy Saving in Large Organisations. Conference on Designing Interactive Systems (Companion Volume) (2017)
Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR (2016)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Latent Bayesian melding for integrating individual and population models. NIPS (2015)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Latent Bayesian melding for integrating individual and population models. CoRR (2015)
Mingjun Zhong, Nigel H. Goddard, Charles Sutton
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. NIPS (2014)
Nigel H. Goddard, Johanna D. Moore, Charles Sutton, Heather Lovell, Janette Webb
Machine learning and multimedia content generation for energy demand reduction. SustainIT (2012)
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) (2007)
Ian J. Deary, Enrico Simonotto, Martin Meyer, Alan Marshall, Ian Marshall, Nigel H. Goddard, Joanna M. Wardlaw
The functional anatomy of inspection time: an event-related fMRI study. NeuroImage 22 (4) (2004)
Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard
How do we get the data to build computational models? Neurocomputing (2004)
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 (2003)
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, Edward Herskovits, Michael L. Hines, Gwen A. Jacobs, Russell E. Jacobs, Edward G. Jones, David N. Kennedy, Daniel Y. Kimberg, John C. Mazziotta, Perry L. Miller, Susumu Mori, David C. Mountain, Allan L. Reiss, Glenn D. Rosen, David A. Rottenberg, Gordon M. Shepherd, Neil R. Smalheiser, Kenneth P. Smith, Tom Strachan, David C. Van Essen, Robert W. Williams, Stephen T. C. Wong
Towards effective and rewarding data sharing. Neuroinformatics 1 (3) (2003)
Nicola De Pisapia, Nigel H. Goddard
A neural model of frontostriatal interactions for behavioural planning and action chunking. Neurocomputing (2003)
Nigel H. Goddard, Robert C. Cannon, Fredrick W. Howell
Axiope tools for data management and data sharing. Neuroinformatics 1 (3) (2003)
Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing (2002)
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 (2002)
Nigel H. Goddard, Greg Hood, Fredrick W. Howell, Michael L. Hines, Erik De Schutter
NEOSIM: Portable large-scale plug and play modelling. Neurocomputing (2001)
Fredrick W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Maex, Nigel H. Goddard, Erik De Schutter
A large-scale model of the cerebellar cortex using PGENESIS. Neurocomputing (2000)
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) (1997)
Nigel H. Goddard
Michael C. Mozer, The Perception of Multiple Objects: A Connectionist Approach. Artif. Intell. 62 (1) (1993)
Nigel H. Goddard
David Touretzky, Geoffrey Hinton and Terrence Sejnowski eds., Proceedings of the 1988 Connectionist Models Summer School. Artif. Intell. 53 (2-3) (1992)
Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard, Kenton J. Lynne
Computing with Structured Connectionist Networks. Commun. ACM 31 (2) (1988)
Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard
Computing with Structured Neural Networks. Computer 21 (3) (1988)