Valerie Vaquet

Localization of Concept Drift: Identifying the Drifting Datapoints

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

The notion of concept drift refers to the phenomenon that the distribution which is underlying the observed data changes over time. As a consequence machine learning models may become inaccurate and need adjustment. While there …

One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift

2024 · Frontiers in Artificial Intelligence

In an increasing number of industrial and technical processes, machine learning-based systems are being entrusted with supervision tasks. While they have been successfully utilized in many application areas, they frequently are not able to generalize …

Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data

2025 · arXiv (Cornell University)

As machine learning is increasingly applied in an online fashion to deal with evolving data streams, the fairness of these algorithms is a matter of growing ethical and legal concern. In many use cases, class …