research
∙
09/06/2022
Change Detection for Local Explainability in Evolving Data Streams
As complex machine learning models are increasingly used in sensitive ap...
share
research
∙
04/28/2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams
Due to the unspecified and dynamic nature of data streams, online machin...
research
∙
03/30/2022
Dynamic Model Tree for Interpretable Data Stream Learning
Data streams are ubiquitous in modern business and society. In practice,...
research
∙
01/04/2021
On Baselines for Local Feature Attributions
High-performing predictive models, such as neural nets, usually operate ...
research
∙
10/19/2020
Learning Parameter Distributions to Detect Concept Drift in Data Streams
Data distributions in streaming environments are usually not stationary....
research
∙
06/18/2020
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection
Feature selection can be a crucial factor in obtaining robust and accura...
research
∙
10/21/2019