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2102.05983
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Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model
11 February 2021
Gustavo H. F. M. Oliveira
Leandro L. Minku
Adriano Oliveira
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Papers citing
"Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model"
8 / 8 papers shown
Title
Thwarting Cybersecurity Attacks with Explainable Concept Drift
I. Shaer
Abdallah Shami
AAML
61
3
0
18 Mar 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
110
2
0
20 Feb 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
Enshui Yu
Jie Lu
Bin Zhang
Guangquan Zhang
66
21
0
17 Dec 2023
Tracking changes using Kullback-Leibler divergence for the continual learning
Sebastian Basterrech
Michal Wo'zniak
67
13
0
10 Oct 2022
Change Detection for Local Explainability in Evolving Data Streams
Johannes Haug
Alexander Braun
Stefan Zurn
Gjergji Kasneci
FAtt
40
10
0
06 Sep 2022
Learn to Adapt: Robust Drift Detection in Security Domain
Aditya Kuppa
Nhien-An Le-Khac
OOD
50
18
0
15 Jun 2022
Passive learning to address nonstationarity in virtual flow metering applications
M. Hotvedt
B. Grimstad
Lars Imsland
56
9
0
07 Feb 2022
Active Weighted Aging Ensemble for Drifted Data Stream Classification
Michal Wo'zniak
P. Zyblewski
Pawel Ksieniewicz
AI4TS
61
22
0
19 Dec 2021
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