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ORCIDAyoub El Qadi
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2020 – today
- 2023
[b1]Ayoub El Qadi:
An EXplainable Artificial Intelligence Credit Rating System. (Explicabilité d'un système de notation de risque de crédit basé sur l'intelligence artificielle). Sorbonne University, Paris, France, 2023- [j2]Ayoub El Qadi, Maria Trocan
, Natalia Díaz Rodríguez, Thomas Frossard:
Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. 17(2): 427-434 (2023) - [j1]Ayoub El Qadi, Maria Trocan, Natalia Díaz Rodríguez, Thomas Frossard:
Correction to: Feature contribution alignment with expert knowledge for artificial intelligence credit scoring. Signal Image Video Process. 17(4): 1743 (2023) - [c3]Ayoub El Qadi, Maria Trocan, Patricia Conde Céspedes, Thomas Frossard:
Predicting Corporate Solvency using Sentiment Analysis of Risk Analyst Textual Assessments. CiSt 2023: 277-281 - [c2]Ayoub El Qadi, Maria Trocan, Patricia Conde Céspedes, Thomas Frossard, Natalia Díaz Rodríguez:
Credit Risk Scoring Using a Data Fusion Approach. ICCCI 2023: 769-781 - 2022
- [c1]Ayoub El Qadi, Maria Trocan, Thomas Frossard, Natalia Díaz Rodríguez:
Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models. MEDES 2022: 115-122 - 2021
- [i2]Ayoub El Qadi, Natalia Díaz Rodríguez, Maria Trocan, Thomas Frossard:
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts. CoRR abs/2103.08359 (2021) - [i1]Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez:
A Practical Tutorial on Explainable AI Techniques. CoRR abs/2111.14260 (2021)
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