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20242026
most citedBeyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?

1 citations · 1 across the 4 of their papers we have counts for

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cs.LG2024

GraphXAIN: Narratives to Explain Graph Neural Networks

Mateusz Cedro, David Martens

Graph Neural Networks (GNNs) are a powerful technique for machine learning on graph-structured data, yet they pose challenges in interpretability. Existing GNN explanation methods…

cs.CV2024★ 1 cited

Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?

Mateusz Cedro, Marcin Chlebus

The increasing complexity of Artificial Intelligence models poses challenges to interpretability, particularly in the healthcare sector. This study investigates the impact of deep…