Experiments show that VG-TIE is competitive with other tabular-to-image methods while providing interpretability on feature importance and ranking similar to intrinsic interpretable methods, and highlights the potential of the proposed image-based transformation to provide an effective framework that expands the use of...
David Chushig-Muzo, L. López-Ramos, Ángeles Rodríguez de Cara et al.· 0 citations
TabSOM is proposed, a tabular-to-image encoding built on the Self-Organizing Map, which provides a spatial layout in which every input feature occupies a fixed canvas position derived from its component plane via collision-free Hungarian assignment and a graph that captures pairwise feature relationships derived from t...
David Chushig-Muzo, M. D. de Cara, Eva Milara et al.· 1 citation
Results indicate that TTA improves OOD performance, with composite and photometric strategies providing the best trade-off between robustness and variance, in contrast to frequency-domain transformations that alter the encoder's feature-to-intensity mapping consistently degrade performance.
Malena Loza, Felipe Grijalva, Eva Milara et al.· 0 citations
Existing benchmarks for OOD in tabular data are extended, providing evidence to support their adoption in high-stakes domains characterized by structural distribution shifts and identifying a scalability gap.
Malena Loza, David Chushig-Muzo, Eva Milara et al.· 0 citations
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