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2004.05810
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Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
13 April 2020
Anjin Liu
Jie Lu
Guangquan Zhang
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Papers citing
"Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation"
9 / 9 papers shown
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
En Yu
Jie Lu
Kun Wang
Xiaoyu Yang
G. Zhang
212
11
0
03 Aug 2025
Feature Shift Localization Network
Míriam Barrabés
D. M. Montserrat
Kapal Dev
A. Ioannidis
OOD
220
0
0
10 Jun 2025
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
326
3
0
20 Feb 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
Enshui Yu
Jie Lu
Bin Zhang
Guangquan Zhang
292
36
0
17 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction
Míriam Barrabés
D. M. Montserrat
Margarita Geleta
Xavier Giró-i-Nieto
A. Ioannidis
OOD
260
5
0
07 Dec 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts
Thomas Wong
Mauricio Barahona
OOD
AIFin
AI4TS
871
0
0
14 Mar 2023
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Neural Information Processing Systems (NeurIPS), 2021
Sean Kulinski
S. Bagchi
David I. Inouye
OOD
213
38
0
14 Jul 2021
Efficient Quantile Tracking Using an Oracle
Hugo Lewi Hammer
Anis Yazidi
Michael A. Riegler
Håvard Rue
209
0
0
27 Apr 2020
Concept Drift Detection via Equal Intensity k-means Space Partitioning
Anjin Liu
Jie Lu
Guangquan Zhang
272
78
0
24 Apr 2020
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