Robustness under noise: assessing the impact of perturbed key attributes on machine learning models
Cristina Padró-Ferragut, Fernando Martínez-Plumed, María José Ramírez-Quintana
International Journal of Data Science and Analytics, 2026
Abstract
This research paper explore the methodology and findings associated with International Journal of Data Science and Analytics. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).