| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Vilone 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 |   
@InProceedings{ViloneLongo2025, author="Vilone, Giulia and Longo, Luca", editor="Guidotti, Riccardo and Schmid, Ute and Longo, Luca", title="Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees", booktitle="Explainable Artificial Intelligence", year="2026", publisher="Springer Nature Switzerland", address="Cham", pages="89--112", isbn="978-3-032-08333-3" } [Close]
| 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 |
| 1 | Mekonnen E.T., Dondio P., Longo L. | Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method | Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023) | 2023 | 
@INPROCEEDINGS{Mekonnen2023, author={Mekonnen, E.T., Dondio P., and Longo L.}, booktitle={Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023)}, title={Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method}, year={2023}, volume={3554}, number={}, pages={71-76}, publisher={CEUR} } [Close]
| Explainable Artificial Intelligence • Deep Learning • Time Series • Classification • Decision-Trees • Machine Learning • Post-hoc |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |