Learning under Concept Drift: A Review

13 April 2020

Papers citing "Learning under Concept Drift: A Review"

50 / 340 papers shown

Title
Badgers: generating data quality deficits with Python Julien Siebert Daniel Seifert P. Kelbert Michael Kläs Adam Trendowicz 15 1 0 10 Jul 2023
Distance Functions and Normalization Under Stream Scenarios E. V. L. Barboza P. R. L. Almeida A. Britto Rafael M. O. Cruz 18 0 0 30 Jun 2023
Adaptive Bernstein Change Detector for High-Dimensional Data Streams Marco Heyden Edouard Fouché Vadim Arzamasov Tanja Fenn Florian Kalinke Klemens Bohm 48 2 0 22 Jun 2023
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems Roman Beltiukov Wenbo Guo Arpit Gupta W. Willinger 55 17 0 15 Jun 2023
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios Maximilian Muschalik Fabian Fumagalli Rohit Jagtani Barbara Hammer Eyke Hüllermeier 66 6 0 13 Jun 2023
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks Dustin Aganian Mona Köhler Sebastian Baake M. Eisenbach H. Groß 86 7 0 09 Jun 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 101 7 0 08 Jun 2023
Overcoming the Stability Gap in Continual Learning Md Yousuf Harun Christopher Kanan AI4CE 76 11 0 02 Jun 2023
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy Siamak Ghodsi Eirini Ntoutsi 29 1 0 02 Jun 2023
One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms Shaoyuan Huang Zheng Wang Hengda Zhang Xiaofei Wang Chen Zhang Wenyu Wang AI4TS 57 13 0 02 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 142 1 0 02 Jun 2023
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment Atharva Kulkarni Sarah Masud Vikram Goyal Tanmoy Chakraborty 63 10 0 01 Jun 2023
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors Rahul Vishwakarma JinHa Hwang S. Messoudi A. Hedayatipour 42 0 0 01 Jun 2023
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing Ronit Das Tie-Mei Luo 21 2 0 20 May 2023
OPTWIN: Drift identification with optimal sub-windows Mauro Dalle Lucca Tosi Martin Theobald 60 1 0 19 May 2023
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks Firas Bayram Phil Aupke Bestoun S. Ahmed A. Kassler A. Theocharis Jonas Forsman AI4TS 42 37 0 15 May 2023
An Adaptive Ensemble Framework for Addressing Concept Drift in IoT Data Streams Yafeng Wu Lan Liu Yongjie Yu Guiming Chen Junhan Hu 61 1 0 11 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 102 14 0 10 May 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code Martin Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 122 11 0 06 May 2023
Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation Zeynab Chitsazian Saeed Sedighian Amin Nikanjam 16 0 0 06 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 60 2 0 04 May 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 111 26 0 30 Apr 2023
A feature selection method based on Shapley values robust to concept shift in regression Carlos Sebastián Carlos E. González-Guillén 58 7 0 28 Apr 2023
Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques Zeyi Liu Song Hu Xiao He 67 9 0 25 Apr 2023
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift Firas Bayram Bestoun S. Ahmed OOD 53 4 0 18 Apr 2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction Congcong Liu Fei Teng Xiwei Zhao Zhangang Lin Jinghe Hu Jingping Shao CLL 34 6 0 17 Apr 2023
On the Local Cache Update Rules in Streaming Federated Learning Heqiang Wang Jieming Bian Jie Xu 53 6 0 28 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 85 19 0 27 Mar 2023
Model Based Explanations of Concept Drift Fabian Hinder Valerie Vaquet Johannes Brinkrolf Barbara Hammer 48 27 0 16 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 128 0 0 14 Mar 2023
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams Kota Nakamura Yasuko Matsubara Koki Kawabata Yuhei Umeda Yuichiro Wada Yasushi Sakurai AI4TS 134 7 0 07 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 54 4 0 02 Mar 2023
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches Alexandros Palaios Christian L. Vielhaus D. Külzer Cara Watermann Rodrigo Hernangómez ... Martin Kasparick G. Fettweis F. Fitzek Hans D. Schotten Sławomir Stańczak 49 13 0 23 Feb 2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout Yuanyuan Chen Zichen Chen Sheng Guo Yansong Zhao Zelei Liu Pengcheng Wu Che-Sheng Yang Zengxiang Li Han Yu AI4CE 85 9 0 22 Feb 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 60 49 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 87 13 0 16 Feb 2023
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis Bardh Prenkaj Paola Velardi 57 6 0 13 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 97 18 0 05 Feb 2023
Digital Twin Applications in Urban Logistics: An Overview Abdo Abouelrous Laurens Bliek Yingqian Zhang AI4CE 61 16 0 01 Feb 2023
Continual Learning for Predictive Maintenance: Overview and Challenges J. Hurtado Dario Salvati Rudy Semola Mattia Bosio Vincenzo Lomonaco 46 36 0 29 Jan 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 106 9 0 29 Jan 2023
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition Pekka Siirtola J. Röning 96 3 0 20 Jan 2023
Learning from Data Streams: An Overview and Update Jesse Read Indr.e vZliobait.e 63 4 0 30 Dec 2022
Challenges in anomaly and change point detection Madalina Olteanu Fabrice Rossi Florian Yger 54 0 0 27 Dec 2022
Data-Centric Artificial Intelligence Johannes Jakubik Michael Vossing Niklas Kühl J. Walk G. Satzger GNN 67 50 0 22 Dec 2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic Raul D. Steleac Jonathan D. Thomas Georgios Papoudakis Lukas Schafer ... Kuan-Ho Lao Murat Cubuktepe Matthew Haley Peter Borsting Stefano V. Albrecht OffRL 79 18 0 22 Dec 2022
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices T. Yamada Hiroki Matsutani 29 0 0 19 Dec 2022
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics Pengmiao Zhang Rajgopal Kannan Viktor K. Prasanna 47 4 0 10 Dec 2022
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets Lihai Nie Xiaoyang Shan Laiping Zhao Keqiu Li 59 5 0 08 Dec 2022
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field Christopher Bockel-Rickermann Tim Verdonck Wouter Verbeke 91 12 0 07 Dec 2022