2 citations · 2 across the 3 of their papers we have counts for
6 papers
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management
Wiebke Toussaint, Alejandra Gomez Ortega, Jered Vroon +6
Mobile applications and online service providers track our virtual and physical behaviour more actively and with a broader scope than ever before. This has given rise to growing co…
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint, Aaron Yi Ding
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence.…
Design Considerations for High Impact, Automated Echocardiogram Analysis
Wiebke Toussaint, Dave Van Veen, Courtney Irwin +10
Deep learning has the potential to automate echocardiogram analysis for early detection of heart disease. Based on a qualitative analysis of design concerns, this study suggests th…
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa
Wiebke Toussaint, Deshendran Moodley
Clustering is frequently used in the energy domain to identify dominant electricity consumption patterns of households, which can be used to construct customer archetypes for long…
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint, Aaron Yi Ding
Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services. This survey moves beyond existing ML algorithms and cloud-driven…
Using competency questions to select optimal clustering structures for residential energy consumption patterns
Wiebke Toussaint, Deshendran Moodley
During cluster analysis domain experts and visual analysis are frequently relied on to identify the optimal clustering structure. This process tends to be adhoc, subjective and dif…