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Characterizing Concept Drift

12 November 2015

Papers citing "Characterizing Concept Drift"

50 / 55 papers shown

Title
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 33 0 0 30 May 2025
Evolving Machine Learning: A Survey Ignacio Cabrera Martin Subhaditya Mukherjee Almas Baimagambetov Joaquin Vanschoren Nikolaos Polatidis VLM 261 0 0 23 May 2025
Drift Detection: Introducing Gaussian Split Detector Maxime Fuccellaro Laurent Simon A. Zemmari 50 0 0 14 May 2024
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection Rafiullah Omar Justus Bogner J. Leest Vincenzo Stoico Patricia Lago H. Muccini 86 2 0 30 Apr 2024
Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors Jesse Cummings Elías Snorrason Jonas W. Mueller 36 1 0 25 May 2023
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments The-Yuan Chow Usman Raza Ioannis Mavromatis Aftab Khan 53 5 0 15 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 90 23 0 10 May 2023
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis Elias Werner Nishant Kumar Matthias Lieber Sunna Torge Stefan Gumhold W. Nagel 49 4 0 17 Apr 2023
Learning from Data Streams: An Overview and Update Jesse Read Indr.e vZliobait.e 68 4 0 30 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
A unified framework for dataset shift diagnostics Felipe Maia Polo Rafael Izbicki Evanildo G. Lacerda J. Ibieta-Jimenez R. Vicente 64 14 0 17 May 2022
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework Gabriel J. Aguiar Bartosz Krawczyk Alberto Cano AI4TS 97 99 0 07 Apr 2022
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning Omid Gheibi Danny Weyns CLL 40 24 0 04 Apr 2022
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors Firas Bayram Bestoun S. Ahmed A. Kassler 62 225 0 21 Mar 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 150 97 0 21 Mar 2022
Online AutoML: An adaptive AutoML framework for online learning B. Celik Prabhant Singh Joaquin Vanschoren 61 23 0 24 Jan 2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data Kamil Faber Roberto Corizzo B. Sniezynski Michael Baron Nathalie Japkowicz AI4TS 63 23 0 18 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 98 57 0 11 Jan 2022
Active Weighted Aging Ensemble for Drifted Data Stream Classification Michal Wo'zniak P. Zyblewski Pawel Ksieniewicz AI4TS 58 22 0 19 Dec 2021
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams Tahiya Chowdhury Murtadha M. N. Aldeer Shantanu Laghate Jorge Ortiz AI4TS 48 2 0 06 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 80 79 0 26 Nov 2021
ACDC: Online Unsupervised Cross-Domain Adaptation Marcus Vinícius de Carvalho Mahardhika Pratama Jie Zhang E. Yapp 118 9 0 04 Oct 2021
LEAF: Navigating Concept Drift in Cellular Networks Shinan Liu F. Bronzino Paul Schmitt A. Bhagoji Nick Feamster Héctor García Crespo Timothy T Coyle Brian Ward 76 12 0 07 Sep 2021
Empirically Measuring Transfer Distance for System Design and Operation Tyler Cody Stephen C. Adams Peter A. Beling 39 12 0 02 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 56 17 0 30 Jun 2021
Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance Iñigo Martinez E. Viles Iñaki Cabrejas 28 6 0 18 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams Heitor Murilo Gomes Maciej Grzenda R. Mello Jesse Read Minh-Huong Le Nguyen Albert Bifet 118 46 0 16 Jun 2021
Learning Football Body-Orientation as a Matter of Classification Adrià Arbués Sangüesa Adrián Martín Paulino Granero C. Ballester G. Haro 37 3 0 01 Jun 2021
Concept drift detection and adaptation for federated and continual learning F. Casado Dylan Lema Marcos F. Criado R. Iglesias Carlos V. Regueiro S. Barro FedML 69 64 0 27 May 2021
On the Robustness of Domain Constraints Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Mike Weisman Patrick McDaniel AAML OOD 88 26 0 18 May 2021
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data Saul Calderon-Ramirez Luis Oala 70 5 0 20 Apr 2021
Analyzing Flight Delay Prediction Under Concept Drift Lucas Giusti Leonardo Carvalho A. T. Gomes R. Coutinho Jorge Soares Eduardo S. Ogasawara AI4TS 18 8 0 05 Apr 2021
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Gustavo H. F. M. Oliveira Leandro L. Minku Adriano Oliveira 67 35 0 11 Feb 2021
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic Lucas Baier Niklas Kühl Jakob Schöffer G. Satzger 27 4 0 04 Dec 2020
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic Martin Müller M. Salathé 52 21 0 03 Dec 2020
Learning Parameter Distributions to Detect Concept Drift in Data Streams Johannes Haug Gjergji Kasneci 45 21 0 19 Oct 2020
CURIE: A Cellular Automaton for Concept Drift Detection J. Lobo Javier Del Ser E. Osaba Albert Bifet Francisco Herrera AI4TS 37 7 0 21 Sep 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 94 34 0 28 Jul 2020
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing S. Tripathi David Muhr Manuel Brunner F. Emmert-Streib H. Jodlbauer M. Dehmer 43 45 0 28 Jul 2020
Ranking and benchmarking framework for sampling algorithms on synthetic data streams József Dániel Gáspár Martin Horváth GyHozHo Horváth Zoltan Zvara 19 0 0 17 Jun 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 60 56 0 09 Jun 2020
Handling Concept Drift for Predictions in Business Process Mining Lucas Baier J. Reimold Niklas Kühl AI4TS 45 16 0 12 May 2020
Handling Concept Drifts in Regression Problems -- the Error Intersection Approach Lucas Baier M. Hofmann Niklas Kühl Marisa Mohr G. Satzger 21 17 0 01 Apr 2020
Incremental Learning In Online Scenario Jiangpeng He Runyu Mao Zeman Shao Fengqing Zhu CLL 96 153 0 30 Mar 2020
Performative Prediction Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 172 322 0 16 Feb 2020
LUNAR: Cellular Automata for Drifting Data Streams J. Lobo Javier Del Ser Francisco Herrera AI4TS 38 4 0 06 Feb 2020
Spiking Neural Networks and Online Learning: An Overview and Perspectives J. Lobo Javier Del Ser Albert Bifet N. Kasabov 83 227 0 23 Jul 2019
Effectiveness Assessment of Cyber-Physical Systems Gérald Rocher J. Tigli S. Lavirotte Nhan Le Thanh 9 8 0 10 Jan 2019
Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition Ravdeep Pasricha Ekta Gujral Evangelos E. Papalexakis 36 23 0 25 Apr 2018
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error Nayyar Zaidi Geoffrey I. Webb F. Petitjean Germain Forestier 13 1 0 29 Jan 2018