# Authors Title Details Date Pdf/Links/Bibtex Keywords
2Vilone G., Longo L. Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees eXplainable Artificial Intelligence, The World Conference (xAI-2025) 2025 Logical Analysis Graph Theory Graph Theory in Probability Machine Learning Reasoning Symbolic AI Explainable AI Surrogate models Computational Argumentation Rule-based systems Decision-trees Dense Neural Networks Deep learning
10.1007/978-3-032-08333-3_5
1Kopanja M., Savic M., Longo LEnhancing Cost-Sensitive Tree-Based XAI Surrogate Method: Exploring Alternative Cost Matrix Formulation Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025) 2025 Explainable artificial intelligence Cost-sensitive decision tree Surrogate modeling Rule extraction Tree-based methods Model-agnostic explanations Rule-based systems Interpretability Machine Learning.
# Authors Title Details Date Pdf/Links/Bibtex Keywords