Learning under Concept Drift: A Review

Learning under Concept Drift: A Review

13 April 2020

Guangquan Zhang

Papers citing "Learning under Concept Drift: A Review"

18 / 18 papers shown

Title
Evolving Machine Learning: A Survey Ignacio Cabrera Martin Subhaditya Mukherjee Almas Baimagambetov Joaquin Vanschoren Nikolaos Polatidis VLM 112 0 0 23 May 2025
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams Maria Arostegi Miren Nekane Bilbao J. Lobo Javier Del Ser 45 0 0 08 Apr 2025
Interpretable Model Drift Detection Pranoy Panda Kancheti Sai Srinivas V. Balasubramanian Gaurav Sinha 140 0 0 09 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 103 7 0 28 Feb 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection Xinchen Zhang Running Zhao Zhihan Jiang Handi Chen Yulong Ding Edith C.H. Ngai Shuang-Hua Yang AAML 192 0 0 17 Feb 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter Georg Krempl Sergey Dragomiretskiy Tineke Jelsma Arno Siebes 140 0 0 13 Dec 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 188 1 0 23 Nov 2024
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching Daniel J. Williams Leyang Wang Qizhen Ying Song Liu Mladen Kolar 68 1 0 14 Oct 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards Zhimin Zhao A. A. Bangash F. Côgo Bram Adams Ahmed E. Hassan 91 1 0 04 Jul 2024
Fault detection in propulsion motors in the presence of concept drift Martin Tveten Morten Stakkeland 99 0 0 12 Jun 2024
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 55 7 0 08 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 86 1 0 02 Jun 2023
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations Anjin Liu Jie Lu Guangquan Zhang 121 15 0 09 Aug 2020
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels Shujian Yu Xiaoyang Wang José C. Príncipe 23 39 0 25 Jun 2018
Concept Drift Learning with Alternating Learners Yunwen Xu Rui Xu Weizhong Yan Paul Ardis 44 12 0 18 Oct 2017
Concept Drift Adaptation by Exploiting Historical Knowledge Yu Sun K. Tang Zexuan Zhu Xin Yao CLL 31 115 0 12 Feb 2017
Concept Drift Detection for Streaming Data Heng Wang Zubin Abraham 24 123 0 04 Apr 2015
Exponentially Weighted Moving Average Charts for Detecting Concept Drift Gordon J. Ross N. Adams D. Tasoulis D. Hand 56 371 0 25 Dec 2012