26 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.DL2024★ 2 cited
Using Large Language Models to Enrich the Documentation of Datasets for Machine Learning
Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Recent regulatory initiatives like the European AI Act and relevant voices in the Machine Learning (ML) community stress the need to describe datasets along several key dimensions…
cs.LG2024
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to d…
cs.LG2022★ 26 cited
A domain-specific language for describing machine learning datasets
Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Datasets play a central role in the training and evaluation of machine learning (ML) models. But they are also the root cause of many undesired model behaviors, such as biased pred…