938 citations
- Turing InstituteGB120 papers
- University of CambridgeGB50 papers
- Queen Mary University of LondonGB44 papers
- University College LondonGB42 papers
- University of OxfordGB38 papers
- Imperial College LondonGB32 papers
- University of WarwickGB32 papers
- University of ManchesterGB26 papers
- University of EdinburghGB18 papers
- University of ExeterGB17 papers
- Institut national de recherche en sciences et technologies du numériqueFR15 papers
- Centre National de la Recherche ScientifiqueFR11 papers
9 papers · 2 filters
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
While there have been a number of remarkable breakthroughs in machine learning (ML), much of the focus has been placed on model development. However, to truly realize the potential…
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
Fergus Imrie, Bogdan Cebere, Eoin F. McKinney +1
Diagnostic and prognostic models are increasingly important in medicine and inform many clinical decisions. Recently, machine learning approaches have shown improvement over conven…
A physics-based domain adaptation framework for modelling and forecasting building energy systems
Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
State-of-the-art machine-learning-based models are a popular choice for modeling and forecasting energy behavior in buildings because given enough data, they are good at finding sp…
Low Emission Building Control with Zero-Shot Reinforcement Learning
Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen
Heating and cooling systems in buildings account for 31% of global energy use, much of which are regulated by Rule Based Controllers (RBCs) that neither maximise energy efficiency…
Online PAC-Bayes Learning
Maxime Haddouche, Benjamin Guedj
Most PAC-Bayesian bounds hold in the batch learning setting where data is collected at once, prior to inference or prediction. This somewhat departs from many contemporary learning…
Modelling variability in vibration-based PBSHM via a generalised population form
Tina A Dardeno, Lawrence A Bull, Robin S Mills +2
Structural health monitoring (SHM) has been an active research area for the last three decades, and has accumulated a number of critical advances over that period, as can be seen i…