Ginel Dorleon

Orcid: 0000-0003-2343-4445

According to our database1, Ginel Dorleon authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Detecting Framing Bias in News via Probabilistic Graphical Modeling.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2025

How LLMs Handle Cultural Bias: Reactions to Asian Minority Historical Narratives.
Proceedings of the Intelligence and Equity: Shaping the Future of Knowledge, 2025

Uncovering Cultural Biases and Stereotypes in Large Language Models.
Proceedings of the Intelligence and Equity: Shaping the Future of Knowledge, 2025

Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency.
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024
FIEAP: A Machine Learning Approach for Fair and Interpretable Employee Attrition Prediction.
Proceedings of the Information Integration and Web Intelligence, 2024

2023
Mitigation of Data Bias through Fair Features Selection Methods. (Atténuation des Biais de Données par des Méthodes de Sélection de Caractéristiques Équitables).
PhD thesis, 2023

FAPFID: A Fairness-Aware Approach for Protected Features and Imbalanced Data.
Trans. Large Scale Data Knowl. Centered Syst., 2023

2022
Feature selection under fairness constraints.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Feature Selection Under Fairness and Performance Constraints.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021
Qualification du biais de données dans le processus de la science des données.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Absolute Redundancy Analysis Based on Features Selection.
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021


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