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07/05/2021
Detecting Concept Drift With Neural Network Model Uncertainty
Deployed machine learning models are confronted with the problem of chan...
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12/04/2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
As a reaction to the high infectiousness and lethality of the COVID-19 v...
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11/30/2020
Human vs. supervised machine learning: Who learns patterns faster?
The capabilities of supervised machine learning (SML), especially compar...
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11/05/2020
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Machine learning models nowadays play a crucial role for many applicatio...
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05/12/2020
Handling Concept Drift for Predictions in Business Process Mining
Predictive services nowadays play an important role across all business ...
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04/01/2020
