Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. - Ayoub El Qadi; Natalia Díaz Rodríguez; Maria Trocan; Thomas Frossard (CoRR, 2021)

Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. - Ayoub El Qadi; Maria Trocan; Thomas Frossard; Natalia Díaz Rodríguez (MEDES, 2022)

Predicting Corporate Solvency using Sentiment Analysis of Risk Analyst Textual Assessments. - Ayoub El Qadi; Maria Trocan; Patricia Conde Céspedes; Thomas Frossard (CiSt, 2023)

Credit Risk Scoring Using a Data Fusion Approach. - Ayoub El Qadi; Maria Trocan; Patricia Conde Céspedes; Thomas Frossard; Natalia Díaz Rodríguez (ICCCI, 2023)

An EXplainable Artificial Intelligence Credit Rating System. (Explicabilité d'un système de notation de risque de crédit basé sur l'intelligence artificielle). - Ayoub El Qadi (2023)

Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. - Ayoub El Qadi; Maria Trocan; Natalia Díaz Rodríguez; Thomas Frossard (Signal Image Video Process., 2023)

Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. - Ayoub El Qadi; Maria Trocan; Natalia Díaz Rodríguez; Thomas Frossard (Signal Image Video Process., 2023)

A Practical Tutorial on Explainable AI Techniques. - Adrien Bennetot; Ivan Donadello; Ayoub El Qadi; Mauro Dragoni; Thomas Frossard; Benedikt Wagner; Anna Saranti; Silvia Tulli; Maria Trocan; Raja Chatila 001; Andreas Holzinger; Artur d'Avila Garcez; et al. (ACM Comput. Surv., 2025)