These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 39133590)

  • 1. TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation.
    Wang K; Lu J; Liu A; Zhang G
    IEEE Trans Cybern; 2024 Oct; 54(10):6000-6011. PubMed ID: 39133590
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift.
    Lu Y; Cheung YM; Yan Tang Y
    IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):2764-2778. PubMed ID: 31825880
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dynamic Ensemble Selection for Imbalanced Data Streams With Concept Drift.
    Jiao B; Guo Y; Gong D; Chen Q
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35731763
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
    Chi L; Li B; Zhu X; Pan S; Chen L
    IEEE Trans Cybern; 2018 May; 48(5):1591-1604. PubMed ID: 28858820
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner.
    Shyaa MA; Zainol Z; Abdullah R; Anbar M; Alzubaidi L; Santamaría J
    Sensors (Basel); 2023 Apr; 23(7):. PubMed ID: 37050795
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm.
    Cavenaghi E; Sottocornola G; Stella F; Zanker M
    Entropy (Basel); 2021 Mar; 23(3):. PubMed ID: 33807028
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adversarial concept drift detection under poisoning attacks for robust data stream mining.
    Korycki Ł; Krawczyk B
    Mach Learn; 2022 Jun; ():1-36. PubMed ID: 35668720
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 9. IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems.
    Fedeli F; Metelli AM; Trovo F; Restelli M
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6813-6823. PubMed ID: 37071516
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning Data Streams With Changing Distributions and Temporal Dependency.
    Song Y; Lu J; Lu H; Zhang G
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):3952-3965. PubMed ID: 34818193
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Active learning for classifying data streams with unknown number of classes.
    Mohamad S; Sayed-Mouchaweh M; Bouchachia A
    Neural Netw; 2018 Feb; 98():1-15. PubMed ID: 29145086
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Concept Drift Detection via Equal Intensity k-Means Space Partitioning.
    Liu A; Lu J; Zhang G
    IEEE Trans Cybern; 2021 Jun; 51(6):3198-3211. PubMed ID: 32324590
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams.
    AlQabbany AO; Azmi AM
    Entropy (Basel); 2021 Jul; 23(7):. PubMed ID: 34356400
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity.
    Junsawang P; Phimoltares S; Lursinsap C
    PLoS One; 2019; 14(9):e0220624. PubMed ID: 31498787
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Drift Region-Based Data Sample Filtering Method.
    Dong F; Lu J; Song Y; Liu F; Zhang G
    IEEE Trans Cybern; 2022 Sep; 52(9):9377-9390. PubMed ID: 33635810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning High-Dimensional Evolving Data Streams With Limited Labels.
    Din SU; Kumar J; Shao J; Mawuli CB; Ndiaye WD
    IEEE Trans Cybern; 2022 Nov; 52(11):11373-11384. PubMed ID: 34033560
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments.
    Museba T; Nelwamondo F; Ouahada K
    Comput Intell Neurosci; 2021; 2021():6669706. PubMed ID: 33815495
    [TBL] [Abstract][Full Text] [Related]  

  • 18. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
    Liu L; Zhang Z; Li S; Ma K; Zheng Y
    Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Segment-Based Drift Adaptation Method for Data Streams.
    Song Y; Lu J; Liu A; Lu H; Zhang G
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4876-4889. PubMed ID: 33835922
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
    Zhu Y; Hu P; Li X; Tian Y; Bai X; Liang T; Li J
    Med Phys; 2022 Sep; 49(9):5799-5818. PubMed ID: 35833617
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.