336 citations · 764 across the 37 of their papers we have counts for
3 papers · 1 filter
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial +1
Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation.…
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…
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems
Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot +3
In this paper, a novel machine learning derived control performance assessment (CPA) classification system is proposed. It is dedicated for a wide class of PID-based control indust…