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Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation.

, , , and . PACMHCI, 2 (CSCW): 125:1-125:23 (2018)

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Machine learning and multimedia content generation for energy demand reduction., , , , and . SustainIT, page 1-5. IEEE, (2012)Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation., , and . NIPS, page 3590-3598. (2014)Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring., , , , and . AAAI, page 2604-2611. AAAI Press, (2018)A large-scale model of the cerebellar cortex using PGENESIS., , , , and . Neurocomputing, (2000)NEOSIM: Portable large-scale plug and play modelling., , , , and . Neurocomputing, (2001)Michael C. Mozer, The Perception of Multiple Objects: A Connectionist Approach.. Artif. Intell., 62 (1): 165-177 (1993)Co-Designing Innovations for Energy Saving in Large Organisations., , , , and . Conference on Designing Interactive Systems (Companion Volume), page 50-54. ACM, (2017)Non-Intrusive Load Monitoring with Fully Convolutional Networks., and . CoRR, (2018)A neural model of frontostriatal interactions for behavioural planning and action chunking., and . Neurocomputing, (2003)Linking computational neuroscience simulation tools - a pragmatic approach to component-based development., , , , , and . Neurocomputing, (2003)