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@INPROCEEDINGS{,
     author = {Trerotola, Mario and Calvaresi, Davide and Parente, Domenico},
   keywords = {Anti-money laundering, Explainable AI, Money laundering typologies, SHAP, TabNet, Transaction networks},
      month = jun,
      title = {Towards Explainable Detection of Money Laundering in Transaction Networks},
  booktitle = {Proceedings of WIRN 2026},
       year = {2026},
   location = {Salerno, Italy},
        url = {https://www.researchgate.net/publication/408455514_Towards_Explainable_Detection_of_Money_Laundering_in_Transaction_Networks},
   abstract = {Confronto RF/LightGBM/XGBoost/TabNet su AMLSim: il fan-out resta ~30pp sotto le altre tipologie in modo sistematico; feature engineering non chiude il gap; conferma su AMLworld HI-Medium (fan-out recall 0.62 vs 0.87 cycle).}
}