BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

256 related articles for article (PubMed ID: 33028187)

  • 1. Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
    Ren LR; Gao YL; Liu JX; Shang J; Zheng CH
    BMC Bioinformatics; 2020 Oct; 21(1):445. PubMed ID: 33028187
    [TBL] [Abstract][Full Text] [Related]  

  • 2. L
    Ren LR; Gao YL; Liu JX; Zhu R; Kong XZ
    Comput Biol Chem; 2020 Dec; 89():107368. PubMed ID: 32919230
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Regularized correntropy criterion based semi-supervised ELM.
    Yang J; Cao J; Wang T; Xue A; Chen B
    Neural Netw; 2020 Feb; 122():117-129. PubMed ID: 31677440
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
    Yu N; Wu MJ; Liu JX; Zheng CH; Xu Y
    IEEE Trans Cybern; 2021 Aug; 51(8):3952-3963. PubMed ID: 32603306
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme.
    Xu Y; Luo X; Wang W; Zhao W
    Sensors (Basel); 2017 Jan; 17(1):. PubMed ID: 28085084
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sparse extreme learning machine for classification.
    Bai Z; Huang GB; Wang D; Wang H; Westover MB
    IEEE Trans Cybern; 2014 Oct; 44(10):1858-70. PubMed ID: 25222727
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.
    Abuassba AOM; Zhang D; Luo X; Shaheryar A; Ali H
    Comput Intell Neurosci; 2017; 2017():3405463. PubMed ID: 28546808
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
    Wang CY; Gao YL; Liu JX; Dai LY; Shang J
    J Bioinform Comput Biol; 2021 Feb; 19(1):2050047. PubMed ID: 33410727
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ELM embedded discriminative dictionary learning for image classification.
    Zeng Y; Li Y; Chen J; Jia X; Huang GB
    Neural Netw; 2020 Mar; 123():331-342. PubMed ID: 31901564
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier.
    Subbulakshmi CV; Deepa SN
    ScientificWorldJournal; 2015; 2015():418060. PubMed ID: 26491713
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extreme learning machine and adaptive sparse representation for image classification.
    Cao J; Zhang K; Luo M; Yin C; Lai X
    Neural Netw; 2016 Sep; 81():91-102. PubMed ID: 27389571
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tuning extreme learning machine by an improved electromagnetism-like mechanism algorithm for classification problem.
    Zhang MY; Wu Q; Xu ZZ
    Math Biosci Eng; 2019 May; 16(5):4692-4707. PubMed ID: 31499684
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A hierarchical semi-supervised extreme learning machine method for EEG recognition.
    She Q; Hu B; Luo Z; Nguyen T; Zhang Y
    Med Biol Eng Comput; 2019 Jan; 57(1):147-157. PubMed ID: 30054779
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
    Wang CY; Yu N; Wu MJ; Gao YL; Liu JX; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2375-2383. PubMed ID: 32086220
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A robust outlier control framework for classification designed with family of homotopy loss function.
    Wang Y; Yang L; Yuan C
    Neural Netw; 2019 Apr; 112():41-53. PubMed ID: 30753962
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radar HRRP Target Recognition Based on Stacked Autoencoder and Extreme Learning Machine.
    Zhao F; Liu Y; Huo K; Zhang S; Zhang Z
    Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29320453
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine.
    Guo H; Wang J; Ao W; He Y
    Comput Intell Neurosci; 2018; 2018():4058403. PubMed ID: 30046300
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
    Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
    Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sparse Bayesian extreme learning machine for multi-classification.
    Luo J; Vong CM; Wong PK
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):836-43. PubMed ID: 24807961
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.