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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

134 related items for PubMed ID: 39100107

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  • 2. One or two things we know about concept drift-a survey on monitoring in evolving environments. Part A: detecting concept drift.
    Hinder F, Vaquet V, Hammer B.
    Front Artif Intell; 2024; 7():1330257. PubMed ID: 38962502
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  • 6. An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift.
    Liu Y, Wang S, Sui H, Zhu L.
    PLoS One; 2024; 19(1):e0292140. PubMed ID: 38277426
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  • 11. Adaptation for Automated Drift Detection in Electromechanical Machine Monitoring.
    Green DH, Langham AW, Agustin RA, Quinn DW, Leeb SB.
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6768-6782. PubMed ID: 35737609
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  • 16. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
    Foffi G, Pastore A, Piazza F, Temussi PA.
    Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
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  • 17. Adaptation Strategies for Automated Machine Learning on Evolving Data.
    Celik B, Vanschoren J.
    IEEE Trans Pattern Anal Mach Intell; 2021 Sep; 43(9):3067-3078. PubMed ID: 33651683
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  • 19. Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation.
    Liu A, Lu J, Zhang G.
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):293-307. PubMed ID: 32217484
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  • 20. Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
    Rahmani K, Thapa R, Tsou P, Casie Chetty S, Barnes G, Lam C, Foon Tso C.
    Int J Med Inform; 2023 May; 173():104930. PubMed ID: 36893656
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