research
∙
03/16/2023
Model Based Explanations of Concept Drift
The notion of concept drift refers to the phenomenon that the distributi...
share
research
∙
02/08/2023
Combining self-labeling and demand based active learning for non-stationary data streams
Learning from non-stationary data streams is a research direction that g...
research
∙
12/02/2022
On the Change of Decision Boundaries and Loss in Learning with Concept Drift
The notion of concept drift refers to the phenomenon that the distributi...
research
∙
05/13/2022
Precise Change Point Detection using Spectral Drift Detection
The notion of concept drift refers to the phenomenon that the data gener...
research
∙
03/28/2022
The SAME score: Improved cosine based bias score for word embeddings
Over the last years, word and sentence embeddings have established as te...
research
∙
11/15/2021
Evaluating Metrics for Bias in Word Embeddings
Over the last years, word and sentence embeddings have established as te...
research
∙
04/06/2021
Contrastive Explanations for Explaining Model Adaptations
Many decision making systems deployed in the real world are not static -...
research
∙
12/01/2020
Analysis of Drifting Features
The notion of concept drift refers to the phenomenon that the distributi...
research
∙
06/23/2020
Counterfactual Explanations of Concept Drift
The notion of concept drift refers to the phenomenon that the distributi...
research
∙
12/10/2019
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Advances in machine learning technologies have led to increasingly power...
research
∙
12/04/2019
A probability theoretic approach to drifting data in continuous time domains
The notion of drift refers to the phenomenon that the distribution, whic...
research
∙
09/19/2019
