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 *

230 related articles for article (PubMed ID: 32946410)

  • 1. A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.
    Wang G; Zhou T; Choi KS; Lu J
    IEEE Trans Cybern; 2022 May; 52(5):3805-3818. PubMed ID: 32946410
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier.
    Bian Z; Zhang J; Chung FL; Wang S
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; 35(8):10461-10474. PubMed ID: 37022881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers.
    Qin B; Chung FL; Wang S
    IEEE Trans Cybern; 2022 Jul; 52(7):6857-6871. PubMed ID: 33284765
    [TBL] [Abstract][Full Text] [Related]  

  • 4. FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation.
    Quah KH; Quek C
    IEEE Trans Syst Man Cybern B Cybern; 2006 Feb; 36(1):166-78. PubMed ID: 16468575
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interpretable Recognition for Dementia Using Brain Images.
    Song X; Gu F; Wang X; Ma S; Wang L
    Front Neurosci; 2021; 15():748689. PubMed ID: 34630030
    [TBL] [Abstract][Full Text] [Related]  

  • 6. T2FELA: type-2 fuzzy extreme learning algorithm for fast training of interval type-2 TSK fuzzy logic system.
    Deng Z; Choi KS; Cao L; Wang S
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):664-76. PubMed ID: 24807945
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Online sequential fuzzy extreme learning machine for function approximation and classification problems.
    Rong HJ; Huang GB; Sundararajan N; Saratchandran P
    IEEE Trans Syst Man Cybern B Cybern; 2009 Aug; 39(4):1067-72. PubMed ID: 19336333
    [TBL] [Abstract][Full Text] [Related]  

  • 8. How good are fuzzy If-Then classifiers?
    Kuncheva LI
    IEEE Trans Syst Man Cybern B Cybern; 2000; 30(4):501-9. PubMed ID: 18252381
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.
    Sun ZL; Au KF; Choi TM
    IEEE Trans Syst Man Cybern B Cybern; 2007 Oct; 37(5):1321-31. PubMed ID: 17926712
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides.
    Guo X; Jiang Y; Zou Q
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35438149
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.
    Davoodi R; Moradi MH
    J Biomed Inform; 2018 Mar; 79():48-59. PubMed ID: 29471111
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Simplified interval type-2 fuzzy neural networks.
    Lin YY; Liao SH; Chang JY; Lin CT
    IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):959-69. PubMed ID: 24808041
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of hydrologic forecast model.
    Hua X; Hengxin X; Zhiguo C
    Water Sci Technol; 2012; 66(2):239-46. PubMed ID: 22699326
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multitask TSK fuzzy system modeling by mining intertask common hidden structure.
    Jiang Y; Chung FL; Ishibuchi H; Deng Z; Wang S
    IEEE Trans Cybern; 2015 Mar; 45(3):548-61. PubMed ID: 24988602
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network.
    Lin YY; Chang JY; Lin CT
    IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):310-21. PubMed ID: 24808284
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems.
    Lu Z; Wang J; Mao R; Lu M; Shi J
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):476-488. PubMed ID: 35349448
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Knowledge-leverage-based TSK Fuzzy System modeling.
    Zhaohong Deng ; Yizhang Jiang ; Kup-Sze Choi ; Fu-Lai Chung ; Shitong Wang
    IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1200-12. PubMed ID: 24808561
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System.
    Chen CC; Liu YT
    Comput Intell Neurosci; 2018; 2018():9485478. PubMed ID: 29568311
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evolving compact and interpretable Takagi-Sugeno fuzzy models with a new encoding scheme.
    Kim MS; Kim CH; Lee JJ
    IEEE Trans Syst Man Cybern B Cybern; 2006 Oct; 36(5):1006-23. PubMed ID: 17036809
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine.
    Wang KF; An J; Wei Z; Cui C; Ma XH; Ma C; Bao HQ
    Front Bioeng Biotechnol; 2021; 9():802712. PubMed ID: 35127672
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.