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03/16/2023
Model Based Explanations of Concept Drift
The notion of concept drift refers to the phenomenon that the distributi...
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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...
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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...
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05/13/2022
Precise Change Point Detection using Spectral Drift Detection
The notion of concept drift refers to the phenomenon that the data gener...
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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...
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11/15/2021
Evaluating Metrics for Bias in Word Embeddings
Over the last years, word and sentence embeddings have established as te...
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04/06/2021
Contrastive Explanations for Explaining Model Adaptations
Many decision making systems deployed in the real world are not static -...
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12/01/2020
Analysis of Drifting Features
The notion of concept drift refers to the phenomenon that the distributi...
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06/23/2020
Counterfactual Explanations of Concept Drift
The notion of concept drift refers to the phenomenon that the distributi...
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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...
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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...
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09/19/2019