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1702.03500
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Concept Drift Adaptation by Exploiting Historical Knowledge
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
12 February 2017
Yu Sun
Shengcai Liu
Zexuan Zhu
Xin Yao
CLL
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Papers citing
"Concept Drift Adaptation by Exploiting Historical Knowledge"
24 / 24 papers shown
An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
Junghee Pyeon
Davide Cacciarelli
Kamran Paynabar
106
0
0
04 Nov 2025
Multi-Label Transfer Learning in Non-Stationary Data Streams
Honghui Du
Leandro L. Minku
Aonghus Lawlor
Huiyu Zhou
133
0
0
09 Sep 2025
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
Industrial Conference on Data Mining (IDM), 2020
Honghui Du
Leandro L. Minku
Huiyu Zhou
AI4TS
126
12
0
09 Sep 2025
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
Adam Piaseczny
Md Kamran Chowdhury Shisher
Shiqiang Wang
Christopher G. Brinton
298
2
0
30 May 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
IEEE Transactions on Network and Service Management (TNSM), 2024
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
450
26
0
28 Feb 2025
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
Vennela Yarabolu
Govind V Waghmare
Sonia Gupta
Siddhartha Asthana
244
0
0
23 Nov 2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Salvatore Greco
Bartolomeo Vacchetti
D. Apiletti
Tania Cerquitelli
350
26
0
24 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha
Bernardo Pereira Nunes
Armin Haller
MU
KELM
345
6
0
31 May 2024
PILOT: Legal Case Outcome Prediction with Case Law
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Lang Cao
Zifeng Wang
Cao Xiao
Jimeng Sun
AILaw
ELM
310
18
0
28 Jan 2024
Learning from Data Streams: An Overview and Update
ACM Computing Surveys (ACM CSUR), 2022
Jesse Read
Indr.e vZliobait.e
376
11
0
30 Dec 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Engineering applications of artificial intelligence (EAAI), 2022
Li Yang
Abdallah Shami
244
80
0
16 Sep 2022
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
682
1,068
0
05 Oct 2021
Concept Drift Detection in Federated Networked Systems
D. Manias
I. Shaer
Li Yang
Abdallah Shami
200
38
0
13 Sep 2021
Robust Dynamic Network Embedding via Ensembles
Chengbin Hou
Guoji Fu
Peng Yang
Zheng Hu
Shan He
Ke Tang
255
2
0
30 May 2021
A Survey on Negative Transfer
IEEE/CAA Journal of Automatica Sinica (JCAS), 2020
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
516
340
0
02 Sep 2020
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLL
VLM
357
103
0
04 Aug 2020
Efficient Quantile Tracking Using an Oracle
Hugo Lewi Hammer
Anis Yazidi
Michael A. Riegler
Håvard Rue
210
0
0
27 Apr 2020
Learning under Concept Drift: A Review
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
434
1,703
0
13 Apr 2020
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
Ashraf Tahmasbi
Ellango Jothimurugesan
Srikanta Tirthapura
Phillip B. Gibbons
236
11
0
13 Mar 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAML
CLL
224
46
0
19 Dec 2019
Automating concept-drift detection by self-evaluating predictive model degradation
Tania Cerquitelli
Stefano Proto
F. Ventura
D. Apiletti
Elena Baralis
148
5
0
18 Jul 2019
Multi-Source Transfer Learning for Non-Stationary Environments
Honghui Du
Leandro L. Minku
Huiyu Zhou
AI4TS
276
21
0
07 Jan 2019
Handling Concept Drift via Model Reuse
Peng Zhao
Le-Wen Cai
Zhi Zhou
229
63
0
08 Sep 2018
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
Shujian Yu
Zubin Abraham
Heng Wang
Mohak Shah
Yantao Wei
José C. Príncipe
251
56
0
25 Jul 2017
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