3 papers
cs.CV2026
WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation
Maxime Moussi, Benoît Ronval, Siegfried Nijssen +1
The deployment of face detection models in real-world applications raises important fairness concerns, as these systems may showcase performance disparities across demographic grou…
cs.LG2025
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
Emmanouil Panagiotou, Benoît Ronval, Arjun Roy +4
Ensuring fairness in machine learning remains a significant challenge, as models often inherit biases from their training data. Generative models have recently emerged as a promisi…
cs.LG2025
TAGAL: Tabular Data Generation using Agentic LLM Methods
Benoît Ronval, Pierre Dupont, Siegfried Nijssen
The generation of data is a common approach to improve the performance of machine learning tasks, among which is the training of models for classification. In this paper, we presen…