2 papers
cs.LG2026
K-IPO: Kendall-constrained Importance Preserving Oversampling for Imbalanced Tabular Data
Marios Tyrovolas, Argiris Sofotasios, Dimitris Metaxakis +4
Oversampling is widely used to address class imbalance in tabular classification, but existing methods can distort the feature importance ranking underlying model explanations. Alt…
cs.AI2026
A Two-Stage LLM Framework for Accessible and Verified XAI Explanations
Georgios Mermigkis, Dimitris Metaxakis, Marios Tyrovolas +4
Large Language Models (LLMs) are increasingly used to translate the technical outputs of eXplainable Artificial Intelligence (XAI) methods into accessible natural-language explanat…