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A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data.
Daniele Panfilo
Alexander T. P. Boudewijn
Sebastiano Saccani
Andrea Coser
Borut Svara
Carlo Rossi Chauvenet
Ciro Antonio Mami
Eric Medvet
Published in:
IEEE Access (2023)
Keyphrases
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deep learning
tabular data
cell suppression
unsupervised feature learning
unsupervised learning
controlled tabular adjustment
machine learning
mental models
real world
weakly supervised
differential privacy
data mining
numerical data