67 citations · 106 across the 6 of their papers we have counts for
6 papers
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…
Identify treatment effect patterns for personalised decisions
Jiuyong Li, Lin Liu, Shisheng Zhang +3
In personalised decision making, evidence is required to determine whether an action (treatment) is suitable for an individual. Such evidence can be obtained by modelling treatment…
Discovering Context Specific Causal Relationships
Saisai Ma, Jiuyong Li, Lin Liu +1
With the increasing need of personalised decision making, such as personalised medicine and online recommendations, a growing attention has been paid to the discovery of the contex…
From Observational Studies to Causal Rule Mining
Jiuyong Li, Thuc Duy Le, Lin Liu +4
Randomised controlled trials (RCTs) are the most effective approach to causal discovery, but in many circumstances it is impossible to conduct RCTs. Therefore observational studies…
Causal Decision Trees
Jiuyong Li, Saisai Ma, Thuc Duy Le +2
Uncovering causal relationships in data is a major objective of data analytics. Causal relationships are normally discovered with designed experiments, e.g. randomised controlled t…
Mining Combined Causes in Large Data Sets
Saisai Ma, Jiuyong Li, Lin Liu +1
In recent years, many methods have been developed for detecting causal relationships in observational data. Some of them have the potential to tackle large data sets. However, thes…