Computing with Structured Connectionist Networks. - Jerome A. Feldman; Mark A. Fanty; Nigel H. Goddard; Kenton J. Lynne (Commun. ACM, 1988)

Computing with Structured Neural Networks. - Jerome A. Feldman; Mark A. Fanty; Nigel H. Goddard (Computer, 1988)

David Touretzky, Geoffrey Hinton and Terrence Sejnowski eds., Proceedings of the 1988 Connectionist Models Summer School. - Nigel H. Goddard (Artif. Intell., 1992)

Michael C. Mozer, The Perception of Multiple Objects: A Connectionist Approach. - Nigel H. Goddard (Artif. Intell., 1993)

Online Analysis of Functional MRI Datasets on Parallel Platforms. - Nigel H. Goddard; Greg Hood; Jonathan Cohen 003; William F. Eddy; Christopher R. Genovese; Douglas C. Noll; Leigh E. Nystrom (J. Supercomput., 1997)

A large-scale model of the cerebellar cortex using PGENESIS. - Fredrick W. Howell; Jonas Dyhrfjeld-Johnsen; Reinoud Maex; Nigel H. Goddard; Erik De Schutter (Neurocomputing, 2000)

NEOSIM: Portable large-scale plug and play modelling. - Nigel H. Goddard; Greg Hood; Fredrick W. Howell; Michael L. Hines; Erik De Schutter (Neurocomputing, 2001)

NeuroML for plug and play neuronal modeling. - 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 (Neurocomputing, 2002)

Scaling a slow-wave sleep cortical network model using NEOSIM. - Fredrick W. Howell; Maxim Bazhenov; P. Rogister; Terrence J. Sejnowski; Nigel H. Goddard (Neurocomputing, 2002)

Linking computational neuroscience simulation tools - a pragmatic approach to component-based development. - Fredrick W. Howell; Robert C. Cannon; Nigel H. Goddard; H. Bringmann; P. Rogister; Hugo Cornelis (Neurocomputing, 2003)

A neural model of frontostriatal interactions for behavioural planning and action chunking. - Nicola De Pisapia; Nigel H. Goddard (Neurocomputing, 2003)

Towards effective and rewarding data sharing. - 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; et al. (Neuroinformatics, 2003)

Axiope tools for data management and data sharing. - Nigel H. Goddard; Robert C. Cannon; Fredrick W. Howell (Neuroinformatics, 2003)

How do we get the data to build computational models? - Fredrick W. Howell; Robert C. Cannon; Nigel H. Goddard (Neurocomputing, 2004)

The functional anatomy of inspection time: an event-related fMRI study. - Ian J. Deary; Enrico Simonotto; Martin Meyer 001; Alan Marshall; Ian Marshall; Nigel H. Goddard; Joanna M. Wardlaw (NeuroImage, 2004)

Catalyzer: a novel tool for integrating, managing and publishing heterogeneous bioscience data. - Fredrick W. Howell; Robert C. Cannon; Nigel H. Goddard (Concurr. Comput. Pract. Exp., 2007)

Machine learning and multimedia content generation for energy demand reduction. - Nigel H. Goddard; Johanna D. Moore; Charles Sutton; Heather Lovell; Janette Webb (SustainIT, 2012)

Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. - Mingjun Zhong; Nigel H. Goddard; Charles Sutton (NIPS, 2014)

Latent Bayesian melding for integrating individual and population models. - Mingjun Zhong; Nigel H. Goddard; Charles Sutton (NIPS, 2015)

Sequence-to-point learning with neural networks for nonintrusive load monitoring. - Chaoyun Zhang; Mingjun Zhong; Zongzuo Wang; Nigel H. Goddard; Charles Sutton (CoRR, 2016)

Co-Designing Innovations for Energy Saving in Large Organisations. - Evan Morgan; Lynda Webb; Nigel H. Goddard; Janette Webb; Kate Carter (Conference on Designing Interactive Systems (Companion Volume), 2017)

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. - Chaoyun Zhang; Mingjun Zhong; Zongzuo Wang; Nigel H. Goddard; Charles Sutton (AAAI, 2018)

Non-Intrusive Load Monitoring with Fully Convolutional Networks. - Cillian Brewitt; Nigel H. Goddard (CoRR, 2018)

Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation. - Evan Morgan; Lynda Webb; Kate Carter; Nigel H. Goddard (Proc. ACM Hum. Comput. Interact., 2018)

Optimising Placement of Pollution Sensors in Windy Environments. - Sigrid Passano Hellan; Christopher G. Lucas; Nigel H. Goddard (CoRR, 2020)

Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic Circle. - Zhihan Yang; Nigel H. Goddard; Lynda Webb; Huiwei Chen (e-Energy, 2021)

Bayesian Optimisation for Active Monitoring of Air Pollution. - Sigrid Passano Hellan; Christopher G. Lucas; Nigel H. Goddard (AAAI, 2022)

Bayesian Optimisation Against Climate Change: Applications and Benchmarks. - Sigrid Passano Hellan; Christopher G. Lucas; Nigel H. Goddard (CoRR, 2023)

Data-driven Prior Learning for Bayesian Optimisation. - Sigrid Passano Hellan; Christopher G. Lucas; Nigel H. Goddard (CoRR, 2023)