research
∙
01/24/2022
Bias in Automated Speaker Recognition
Automated speaker recognition uses data processing to identify speakers ...
share
research
∙
01/19/2022
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows
Billions of distributed, heterogeneous and resource constrained smart co...
research
∙
07/26/2021
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification
Despite the success of deep neural networks (DNNs) in enabling on-device...
research
∙
06/28/2021
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management
Mobile applications and online service providers track our virtual and p...
research
∙
12/01/2020
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Machine learning systems (MLSys) are emerging in the Internet of Things ...
research
∙
06/11/2020
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...
research
∙
06/11/2020
Design Considerations for High Impact, Automated Echocardiogram Analysis
Deep learning has the potential to automate echocardiogram analysis for ...
research
∙
06/01/2020
Using competency questions to select optimal clustering structures for residential energy consumption patterns
During cluster analysis domain experts and visual analysis are frequentl...
research
∙
05/29/2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Machine learning (ML) technologies are emerging in the Internet of Thing...
research
∙
05/29/2020
