Concept Drift

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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Cluster-Specific Localized Drift Detection for Efficient Batch Model Adaptation under Controlled Distribution Shift

    Jun 20, 2026Ignacio Cabrera Martin, Marcello Trovati, Almas Baimagambetov +1Distribution Shift RobustnessConcept Drift

    University of Brighton, School of Architecture, Technology and Engineering, Brighton, BN2 4GJ, United Kingdom · University of Lancashire, School of Business, Preston, PR1 2HE, United Kingdom

  2. Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators

    Jun 18, 2026Reza Ghanavati, Behrooz MosallaeiMultivariate Time Series ForecastingConcept Drift

    Department of Chemical and Materials Engineering, New Mexico State University · Department of Electrical and Communications Engineering, New Jersey Institute of Technology

  3. Learner-based Concept Drift Detection: Analysis and Evaluation

    Jun 18, 2026Md Moman Ul Haque Khan, Samira SadaouiConcept Drift

    Department of Computer Science, University of Regina, Canada

  4. Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

    Jun 9, 2026Warren Fernando, Nikos KomninosConcept Drift

    Department of Computer Science, School of Mathematics, Computer Science and Engineering, City St George’s, University of London, UK

  5. LargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models

    Jun 8, 2026Mingqi Yuan, Xiaoquan Sun, Shihao Luo +1Distribution ShiftConcept Drift

    Agentic Intelligence Lab | HKU · Qicore Tech

  6. A Framework for Evaluating and Benchmarking Concept Drift Detection Methods

    Jun 5, 2026Vitor Cerqueira, Heitor Murilo Gomes, Marco Heyden +2Concept DriftSynthetic Benchmark Generation

    University of Coimbra · Victoria University of Wellington · Commerzbank +2

  7. How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation

    May 29, 2026Joanna KomorniczakConcept Drift

    Department of Systems and Computer Networks, Wrocław University of Science and Technology

  8. Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams

    May 28, 2026Joanna KomorniczakConcept DriftAutoencoders

    Department of Systems and Computer Networks, Wrocław University of Science and Technology

  9. SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget

    May 24, 2026Suresh Kumar Amalapuram, Bikraj Shresta, Siva Ram murthy Chebiyam +2Concept DriftContinual Learning

    Indian Institute of Technology Ropar, India · Indian Institute of Technology Hyderabad, India

  10. Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection

    May 22, 2026Ahmed Sabbah, Mohammad Kharma, Mohammad Alkhanafseh +3Reinforcement LearningConcept Drift

    Birzeit University · University of Central Florida

  11. Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection

    May 22, 2026Ahmed Sabbah, Mohammed Kharma, Radi Jarrar +2Distribution Shift RobustnessConcept Drift

    aDepartment of Computer Science, Birzeit University, P.O. Box 14, Birzeit, P627, West2026 Bank, Palestine · bDepartment of Computer Science, University of Central Florida, 4328 Scorpius St., Building 116, Room 246, Orlando, 32816, FL, USAMay 22

  12. Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting

    May 20, 2026Jiawen Zhu, Shuhan Liu, Di Weng +1Concept DriftMixture of Experts

    School of Software Technology, Zhejiang University, Ningbo, China · State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China

  13. Counterfactual Explanations Under Concept Drift

    May 17, 2026Marcin Kostrzewa, Jerzy Stefanowski, Maciej ZiębaCounterfactual ExplanationsConcept Drift

    Wrocław University of Science and Technology · Pozna´n University of Technology · Tooploox

  14. Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles

    May 12, 2026Lara Sá Neves, Afonso Lourenço, Lizy K. John +1Concept DriftEnsemble Learning

    GECAD, ISEP, Polytechnic of Porto, Portugal · The University of Texas at Austin, USA

  15. DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection

    May 11, 2026Chaeyoung Lee, Chaeri Jung, Seonghoon JeongTransformerConcept Drift

    Division of Artificial Intelligence Engineering Sookmyung Women’s University Seoul, Republic of Korea

  16. Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation

    May 10, 2026Julien Lafrance, Richard Khoury, Véronique TremblayConcept Drift

    Laval University

  17. Robust and Reliable AI for Predictive Quality in Semiconductor Materials Manufacturing with MLOps and Uncertainty Quantification

    May 8, 2026Min Gao, Julia Maria Perathoner, Anton Ludwig Bonin +2Concept DriftSemiconductor Manufacturing

    Merck Group, Versum Materials US LLC, Wilmington, USA · Merck Group, Merck Electronics KGaA, Darmstadt, Germany · Technical University of Darmstadt, Darmstadt, Germany +1

  18. McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware

    May 7, 2026Md Mahmuduzzaman Kamol, Jesus Lopez, Saeefa Rubaiyet Nowmi +5Concept DriftAndroid Malware Detection

    Department of Computer Science, University of Texas at El Paso · CrowdStrike

  19. Autonomous Drift Learning in Data Streams: A Unified Perspective

    May 2, 2026Xiaoyu Yang, En Yu, Jie LuConcept DriftContinual Learning

    Australian Artificial Intelligence Institute (AAII), Faculty of Engineering and Information Technology, University of Technology Sydney, Australia

  20. Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset

    Apr 24, 2026Annan Fu, Hao Pei, Maryam TanhaConcept DriftAndroid Malware Detection

    Khoury College of Computer Sciences Northeastern University Vancouver, Canada

  21. Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

    Apr 24, 2026Tomáš Kalný, Martin Jureček, Mark StampConcept DriftMalware Classification

    Faculty of Information Technology Czech Technical University, Thakurova 9, Prague, Czech · Department of Computer Science, San Jose State University, San Jose, CA, USA

  22. Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations

    Apr 23, 2026Pawan Acharya, Lan ZhangConcept DriftAdversarial Attacks

    Northern Arizona University, Flagstaff, AZ, USA

  23. Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation

    Apr 16, 2026Jiaqi Zhu, Shaofeng Cai, Jie Chen +3Online Anomaly DetectionConcept Drift

    School of Automation and the National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China · School of Computing, National University of Singapore, Singapore 117417 · Harbin Institute of Technology, Harbin 150001, China +2

  24. Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification

    Oct 29, 2025Christopher T. Franck, Anne R. Driscoll, Zoe Szajnfarber +1Concept DriftModel Calibration

  25. TIF: Learning Temporal Invariance in Android Malware Detectors

    Feb 7, 2025Xinran Zheng, Shuo Yang, Edith C. H. Ngai +2Concept DriftAndroid Malware Detection

    University College London, London, UK · The University of Hong Kong, Hong Kong SAR, China · Columbia University, New York, USA

  26. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

    Jan 18, 2025Haotian Lin, Matthew ReimherrSpectral RegularizationConcept Drift

    Department of Statistics, The Pennsylvania State University.