Nigel H. Goddard

32 papers A* 2A 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bayesian Optimisation Against Climate Change: Applications and Benchmarks. LION (1) Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2023	J	`jnl`	Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2023	J	`jnl`	Data-driven Prior Learning for Bayesian Optimisation. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2022	A*	`conf`	Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2022	J	`jnl`	Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2021	—	`conf`	Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic Circle. e-Energy Zhihan Yang, Nigel H. Goddard, Lynda Webb, Huiwei Chen
2020	J	`jnl`	Optimising Placement of Pollution Sensors in Windy Environments. CoRR Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
2018	J	`jnl`	Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation. Proc. ACM Hum. Comput. Interact. Evan Morgan, Lynda Webb, Kate Carter, Nigel H. Goddard
2018	J	`jnl`	Non-Intrusive Load Monitoring with Fully Convolutional Networks. CoRR Cillian Brewitt, Nigel H. Goddard
2018	A*	`conf`	Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. AAAI Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
2017	A	`conf`	Co-Designing Innovations for Energy Saving in Large Organisations. Conference on Designing Interactive Systems (Companion Volume) Evan Morgan, Lynda Webb, Nigel H. Goddard, Janette Webb, Kate Carter
2016	J	`jnl`	Sequence-to-point learning with neural networks for nonintrusive load monitoring. CoRR Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles Sutton
2015	—	`conf`	Latent Bayesian melding for integrating individual and population models. NIPS Mingjun Zhong, Nigel H. Goddard, Charles Sutton
2015	J	`jnl`	Latent Bayesian melding for integrating individual and population models. CoRR Mingjun Zhong, Nigel H. Goddard, Charles Sutton
2014	—	`conf`	Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation. NIPS Mingjun Zhong, Nigel H. Goddard, Charles Sutton
2012	—	`conf`	Machine learning and multimedia content generation for energy demand reduction. SustainIT Nigel H. Goddard, Johanna D. Moore, Charles Sutton, Heather Lovell, Janette Webb
2007	J	`jnl`	Catalyzer: a novel tool for integrating, managing and publishing heterogeneous bioscience data. Concurr. Comput. Pract. Exp. Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard
2004	J	`jnl`	How do we get the data to build computational models? Neurocomputing Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard
2004	J	`jnl`	The functional anatomy of inspection time: an event-related fMRI study. NeuroImage Ian J. Deary, Enrico Simonotto, Martin Meyer, Alan Marshall, Ian Marshall, Nigel H. Goddard, Joanna M. Wardlaw
2003	J	`jnl`	A neural model of frontostriatal interactions for behavioural planning and action chunking. Neurocomputing Nicola De Pisapia, Nigel H. Goddard
2003	J	`jnl`	Axiope tools for data management and data sharing. Neuroinformatics Nigel H. Goddard, Robert C. Cannon, Fredrick W. Howell
2003	J	`jnl`	Linking computational neuroscience simulation tools - a pragmatic approach to component-based development. Neurocomputing Fredrick W. Howell, Robert C. Cannon, Nigel H. Goddard, H. Bringmann, P. Rogister, Hugo Cornelis
2003	J	`jnl`	Towards effective and rewarding data sharing. Neuroinformatics 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
2002	J	`jnl`	NeuroML for plug and play neuronal modeling. Neurocomputing 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
2002	J	`jnl`	Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard
2001	J	`jnl`	NEOSIM: Portable large-scale plug and play modelling. Neurocomputing Nigel H. Goddard, Greg Hood, Fredrick W. Howell, Michael L. Hines, Erik De Schutter
2000	J	`jnl`	A large-scale model of the cerebellar cortex using PGENESIS. Neurocomputing Fredrick W. Howell, Jonas Dyhrfjeld-Johnsen, Reinoud Maex, Nigel H. Goddard, Erik De Schutter
1997	J	`jnl`	Online Analysis of Functional MRI Datasets on Parallel Platforms. J. Supercomput. Nigel H. Goddard, Greg Hood, Jonathan Cohen, William F. Eddy, Christopher R. Genovese, Douglas C. Noll, Leigh E. Nystrom
1993	J	`jnl`	Michael C. Mozer, The Perception of Multiple Objects: A Connectionist Approach. Artif. Intell. Nigel H. Goddard
1992	J	`jnl`	David Touretzky, Geoffrey Hinton and Terrence Sejnowski eds., Proceedings of the 1988 Connectionist Models Summer School. Artif. Intell. Nigel H. Goddard
1988	J	`jnl`	Computing with Structured Connectionist Networks. Commun. ACM Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard, Kenton J. Lynne
1988	J	`jnl`	Computing with Structured Neural Networks. Computer Jerome A. Feldman, Mark A. Fanty, Nigel H. Goddard