Our capacity to process large complex data sources is ever-increasing,
p...
Missing data are an unavoidable complication in many machine learning ta...
Synthetic data has gained significant momentum thanks to sophisticated
m...
Missing data can lead to inefficiencies and biases in analyses, in parti...
Until recently, multiple synthetic data sets were always released to
ana...
Modelling multiple network data is crucial for addressing a wide range o...
Over the past three decades, synthetic data methods for statistical
disc...
There is increasing appetite for analysing multiple network data. This i...