One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift
The world surrounding us is subject to constant change. These changes, frequently
described as concept drift, influence many industrial and technical processes. As they can …
described as concept drift, influence many industrial and technical processes. As they can …
[HTML][HTML] Model-based explanations of concept drift
Abstract Concept drift refers to the phenomenon that the distribution generating the
observed data changes over time. If drift is present, machine learning models can become …
observed data changes over time. If drift is present, machine learning models can become …
One or Two Things We know about Concept Drift--A Survey on Monitoring Evolving Environments
The world surrounding us is subject to constant change. These changes, frequently
described as concept drift, influence many industrial and technical processes. As they can …
described as concept drift, influence many industrial and technical processes. As they can …
One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift
In an increasing number of industrial and technical processes, machine learning-based
systems are being entrusted with supervision tasks. While they have been successfully …
systems are being entrusted with supervision tasks. While they have been successfully …
[PDF][PDF] Contrasting Explanation of Concept Drift.
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 …
the observed data, changes over time. As a consequence machine learning models may …
[HTML][HTML] Feature-based analyses of concept drift
Feature selection is one of the most relevant preprocessing and analysis techniques in
machine learning. It can dramatically increase the performance of learning algorithms and at …
machine learning. It can dramatically increase the performance of learning algorithms and at …
Thwarting Cybersecurity Attacks with Explainable Concept Drift
Cyber-security attacks pose a significant threat to the operation of autonomous systems.
Particularly impacted are the Heating, Ventilation, and Air Conditioning (HVAC) systems in …
Particularly impacted are the Heating, Ventilation, and Air Conditioning (HVAC) systems in …
Visual Analytics of Streaming Data in Concept Drift Detection
AS Ilic, D Stojanovic - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Recent developments in sensor technology have enabled real-time data acquisition, high-
frequency and multimodal data capturing thus underlying the need for monitoring physical or …
frequency and multimodal data capturing thus underlying the need for monitoring physical or …