5 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
Preserving logical and functional dependencies in synthetic tabular data
Chaithra Umesh, Kristian Schultz, Manjunath Mahendra +2
Dependencies among attributes are a common aspect of tabular data. However, whether existing tabular data generation algorithms preserve these dependencies while generating synthet…
Convex space learning for tabular synthetic data generation
Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej +2
Generating synthetic samples from the convex space of the minority class is a popular oversampling approach for imbalanced classification problems. Recently, deep-learning approach…
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
Rahul Bordoloi, Clémence Réda, Orell Trautmann +2
Functional linear discriminant analysis (FLDA) is a powerful tool that extends LDA-mediated multiclass classification and dimension reduction to univariate time-series functions. H…