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Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Machine learning systems (MLSys) are emerging in the Internet of Things ...
12/01/2020 ∙ by Wiebke Toussaint, et al. ∙
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Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa
Time series clustering is frequently used in the energy domain to genera...
06/11/2020 ∙ by Wiebke Toussaint, et al. ∙
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Design Considerations for High Impact, Automated Echocardiogram Analysis
Deep learning has the potential to automate echocardiogram analysis for ...
06/11/2020 ∙ by Wiebke Toussaint, et al. ∙
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Using competency questions to select optimal clustering structures for residential energy consumption patterns
During cluster analysis domain experts and visual analysis are frequentl...
06/01/2020 ∙ by Wiebke Toussaint, et al. ∙
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Machine Learning Systems for Intelligent Services in the IoT: A Survey
Machine learning (ML) technologies are emerging in the Internet of Thing...
05/29/2020 ∙ by Wiebke Toussaint, et al. ∙
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Machine Learning Systems for Smart Services in the Internet of Things
Machine learning technologies are rapidly emerging in the Internet of Th...
05/29/2020 ∙ by Wiebke Toussaint, et al. ∙
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