3 papers
cs.LG2026
dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment
David Fernández-Narro, Pablo Ferri, Ãngel Sánchez-GarcÃa +2
The Artificial Intelligence (AI) life cycle requires a thorough understanding of the underlying data dynamics for robust, safe and cost-effective AI development and use. Dataset sh…
stat.AP2025
Streamlining business functions in official statistical production with Machine Learning
Sandra Barragán, Adrián Pérez-Bote, Carlos Sáez +2
We provide a description of pilot and production experiences to streamline some business functions in the official statistical production process using statistical learning models.…
cs.LG2025
Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
David Fernández Narro, Pablo Ferri, Juan M. GarcÃa-Gómez +1
Artificial Intelligence (AI) models deployed in production frequently face challenges in maintaining their performance in non-stationary environments. This issue is particularly no…