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 *

104 related articles for article (PubMed ID: 36279327)

  • 1. Difficult Novel Class Detection in Semisupervised Streaming Data.
    Zhou P; Wang N; Zhao S; Zhang Y; Wu X
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6872-6886. PubMed ID: 36279327
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. COMPOSE: A semisupervised learning framework for initially labeled nonstationary streaming data.
    Dyer KB; Capo R; Polikar R
    IEEE Trans Neural Netw Learn Syst; 2014 Jan; 25(1):12-26. PubMed ID: 24806641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semisupervised Feature Selection via Structured Manifold Learning.
    Chen X; Chen R; Wu Q; Nie F; Yang M; Mao R
    IEEE Trans Cybern; 2022 Jul; 52(7):5756-5766. PubMed ID: 33635817
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning to Classify With Incremental New Class.
    Zhou DW; Yang Y; Zhan DC
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2429-2443. PubMed ID: 34499605
    [TBL] [Abstract][Full Text] [Related]  

  • 6. KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes.
    Zhang J; Wang T; Ng WWY; Pedrycz W
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9520-9527. PubMed ID: 35213317
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams.
    Rathore P; Kumar D; Bezdek JC; Rajasegarar S; Palaniswami M
    IEEE Trans Cybern; 2021 Dec; 51(12):5979-5992. PubMed ID: 32203042
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Iterative nearest neighborhood oversampling in semisupervised learning from imbalanced data.
    Li F; Yu C; Yang N; Xia F; Li G; Kaveh-Yazdy F
    ScientificWorldJournal; 2013; 2013():875450. PubMed ID: 23935439
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
    Maciąg PS; Kryszkiewicz M; Bembenik R; L Lobo J; Del Ser J
    Neural Netw; 2021 Jul; 139():118-139. PubMed ID: 33689918
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Transfer Learning for Class Imbalance Problems with Inadequate Data.
    Al-Stouhi S; Reddy CK
    Knowl Inf Syst; 2016 Jul; 48(1):201-228. PubMed ID: 27378821
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Designing a Streaming Algorithm for Outlier Detection in Data Mining-An Incrementa Approach.
    Yu K; Shi W; Santoro N
    Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32110907
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Streaming Data Fusion for the Internet of Things.
    Kenda K; Kažič B; Novak E; Mladenić D
    Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 31027306
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Resource-aware video streaming (RAViS) framework for object detection system using deep learning algorithm.
    Shiddiqi AM; Yogatama ED; Navastara DA
    MethodsX; 2023 Dec; 11():102285. PubMed ID: 37533793
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Online Semisupervised Active Classification for Multiview PolSAR Data.
    Nie X; Fan M; Huang X; Yang W; Zhang B; Ma X
    IEEE Trans Cybern; 2022 Jun; 52(6):4415-4429. PubMed ID: 33095737
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.
    Wu X; Jiang B; Wang X; Ban T; Chen H
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6740-6754. PubMed ID: 37028034
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Active learning with drifting streaming data.
    Zliobaite I; Bifet A; Pfahringer B; Holmes G
    IEEE Trans Neural Netw Learn Syst; 2014 Jan; 25(1):27-39. PubMed ID: 24806642
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Online feature selection with streaming features.
    Wu X; Yu K; Ding W; Wang H; Zhu X
    IEEE Trans Pattern Anal Mach Intell; 2013 May; 35(5):1178-92. PubMed ID: 23520258
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature Interaction for Streaming Feature Selection.
    Zhou P; Li P; Zhao S; Wu X
    IEEE Trans Neural Netw Learn Syst; 2021 Oct; 32(10):4691-4702. PubMed ID: 33021946
    [TBL] [Abstract][Full Text] [Related]  

  • 19. OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams.
    Soares RGF; Minku LL
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6029-6041. PubMed ID: 34932489
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.