4 papers
Workflow for Safe-AI
Suzana Veljanovska, Hans Dermot Doran
The development and deployment of safe and dependable AI models is crucial in applications where functional safety is a key concern. Given the rapid advancement in AI research and…
An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
Hans Dermot Doran, Suzana Veljanovska
The generation and execution of qualifiable safe and dependable AI models, necessitates definition of a transparent, complete yet adaptable and preferably lightweight workflow. Giv…
Performance Examination of Symbolic Aggregate Approximation in IoT Applications
Suzana Veljanovska, Hans Dermot Doran
Symbolic Aggregate approXimation (SAX) is a common dimensionality reduction approach for time-series data which has been employed in a variety of domains, including classification…
Hybrid Convolutional Neural Networks with Reliability Guarantee
Hans Dermot Doran, Suzana Veljanovska
Making AI safe and dependable requires the generation of dependable models and dependable execution of those models. We propose redundant execution as a well-known technique that c…