11 citations · 13 across the 2 of their papers we have counts for
3 papers
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
Alexander Scriven, David Jacob Kedziora, Katarzyna Musial +1
With most technical fields, there exists a delay between fundamental academic research and practical industrial uptake. Whilst some sciences have robust and well-established proces…
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the `how' and `why' of human-computer…
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial +1
Machine learning (ML) pipeline composition and optimisation have been studied to seek multi-stage ML models, i.e. preprocessor-inclusive, that are both valid and well-performing. T…