Software

Tab-Conf-Fraud

• Repository GitHub: LINK

• Description: Software for Fraud Detection relying on Credal Classification through an Ensemble of Confidence-Aware TabTransformers

• S. Galiani, D. Petturiti, and B. Vantaggi. Credal Classification through an Ensemble of Confidence-Aware TabTransformers and its Application to Fraud Detection. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 33(7):875–909, 2025.

CW-pseudo-distances

• Repository GitHub: LINK

• Description: Reference code for the paper

• S. Lorenzini, D. Petturiti, and B. Vantaggi. Choquet-Wasserstein pseudo-distances via optimal transport under partially specified marginal probabilities. Fuzzy Sets and Systems, 515:109429, 2025. 

EUSFLAT2025

• Repository GitHub: LINK

• Description: Code for the (alpha,beta)-SRBMs classifier appearing in the paper

• D. Petturiti and M. Rifqi. Alpha-Maxmin Classification with an Ensemble of Structural Restricted Boltzmann Machines. In:  Proceedings of EUSFLAT 2025, RIga, Latvia, July 21-25, 2025, Springer.

ISIPTA2025

• Repository GitHub: LINK

• Description: Optimization code for the paper

• D. Petturiti and B. Vantaggi. Dynamic α-DS mixture pricing in a market with bid-ask spreads. In:  Proceedings of ISIPTA 2025, Bielefeld, Germany, July 15-18, 2025, PLMR

FUZZ-IEEE2025

• Repository GitHub: LINK

• Description: Approximation code for the paper

• S. Lorenzini, A. Cinfrignini, D. Petturiti, and B. Vantaggi. Quantile-constrained Choquet-Wasserstein p-box approximation of arbitrary belief functions. In:  Proceedings of FUZZ-IEEE 2025, Reims, France, July 6-9, 2025, IEEE XPlore.

behavioral-portfolio

bid-ask-DS

dCh-sim-learn

• Repository GitHub: LINK

• Description: Fuzzy similarity learning code for the paper: 

• C. Marsala, D. Petturiti, and B. Vantaggi. Entropic Regularization Schemes for Learning Fuzzy Similarity Measures based on the d-Choquet Integral. In:  S. Destercke, M.V. Martinez, G. Sanfilippo (Eds.), Scalable Uncertainty Management – 16th International Conference, SUM 2024, Palermo, Italy, November 27-29, 2024, Proceedings, Springer.

epsilon-newsvendor