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cs.LG2024★ 9 cited
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf +1
In the field of Explainable AI (XAI), counterfactual (CF) explanations are one prominent method to interpret a black-box model by suggesting changes to the input that would alter a…
cs.LG2024
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi
Due to their data-driven nature, Machine Learning (ML) models are susceptible to bias inherited from data, especially in classification problems where class and group imbalances ar…