| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | Kopanja M., Savic M., Longo L | Enhancing 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 |  
@inproceedings{, title={Enhancing Cost-Sensitive Tree-Based XAI Surrogate Method: Exploring Alternative Cost Matrix Formulation}, author={Kopanja, Marija and Savi?, Miloš and Longo, Luca}, year={2025}, booktitle = {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), Istanbul, Turkey, 9-11 July, 2025}, publisher = {CEUR-WS.org}, volume = {4017}, series = {{CEUR} Workshop Proceedings}, editor = {Przemys?aw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo}, pages={129-136}, url={https://ceur-ws.org/Vol-4017/paper_17.pdf} } [Close]
| Explainable artificial intelligence • Cost-sensitive decision tree • Surrogate modeling • Rule extraction • Tree-based
methods • Model-agnostic explanations • Rule-based systems • Interpretability • Machine Learning. |
| 1 | Raufi B., Finnegan C., Longo L. | A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection | eXplainable Artificial Intelligence, The World Conference (xAI-2024) | 2024 |  
@InProceedings{10.1007/978-3-031-63803-9_20, author="Raufi, Bujar and Finnegan, Ciaran and Longo, Luca", editor="Longo, Luca and Lapuschkin, Sebastian and Seifert, Christin", title="A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection", booktitle="Explainable Artificial Intelligence", year="2024", publisher="Springer Nature Switzerland", address="Cham", pages="365--383", isbn="978-3-031-63803-9" } [Close]
| Explainable Artificial Intelligence •
Credit Card Fraud Detection •
Interpretability •
methods comparison •
SHapley Additive exPlanations •
Local Interpretable •
Model-agnostic Explanation •
ANCHORS •
Diverse Counterfactual Explanations |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |