research
∙
11/08/2022
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
With most technical fields, there exists a delay between fundamental aca...
share
research
∙
08/08/2022
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning
The automated machine learning (AutoML) process can require searching th...
research
∙
05/09/2022
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
As automated machine learning (AutoML) systems continue to progress in b...
research
∙
12/16/2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Deep learning (DL) has proven to be a highly effective approach for deve...
research
∙
05/01/2021
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning
Machine learning (ML) pipeline composition and optimisation have been st...
research
∙
12/23/2020