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 *

154 related articles for article (PubMed ID: 23755136)

  • 1. A novel approach for lie detection based on F-score and extreme learning machine.
    Gao J; Wang Z; Yang Y; Zhang W; Tao C; Guan J; Rao N
    PLoS One; 2014; 8(6):e64704. PubMed ID: 23755136
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel classification method based on ICA and ELM: a case study in lie detection.
    Xiong Y; Luo Y; Huang W; Zhang W; Yang Y; Gao J
    Biomed Mater Eng; 2014; 24(1):357-63. PubMed ID: 24211917
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel algorithm to enhance P300 in single trials: application to lie detection using F-score and SVM.
    Gao J; Tian H; Yang Y; Yu X; Li C; Rao N
    PLoS One; 2014; 9(11):e109700. PubMed ID: 25365325
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel concealed information test method based on independent component analysis and support vector machine.
    Gao J; Lu L; Yang Y; Yu G; Na L; Rao N
    Clin EEG Neurosci; 2012 Jan; 43(1):54-63. PubMed ID: 22423552
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of mental tasks from EEG signals using extreme learning machine.
    Liang NY; Saratchandran P; Huang GB; Sundararajan N
    Int J Neural Syst; 2006 Feb; 16(1):29-38. PubMed ID: 16496436
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Subject-based discriminative sparse representation model for detection of concealed information.
    Akhavan A; Moradi MH; Vand SR
    Comput Methods Programs Biomed; 2017 May; 143():25-33. PubMed ID: 28391816
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Epileptic EEG classification based on extreme learning machine and nonlinear features.
    Yuan Q; Zhou W; Li S; Cai D
    Epilepsy Res; 2011 Sep; 96(1-2):29-38. PubMed ID: 21616643
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Grasshopper optimization algorithm-based approach for the optimization of ensemble classifier and feature selection to classify epileptic EEG signals.
    Singh G; Singh B; Kaur M
    Med Biol Eng Comput; 2019 Jun; 57(6):1323-1339. PubMed ID: 30756231
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Identification of varieties of black bean using ground based hyperspectral imaging].
    Zhang C; Liu F; Zhang HL; Kong WW; He Y
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Mar; 34(3):746-50. PubMed ID: 25208405
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.
    Tan P; Tan GZ; Cai ZX; Sa WP; Zou YQ
    Med Biol Eng Comput; 2017 Jan; 55(1):33-43. PubMed ID: 27099159
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine].
    Liu ZB; Jiang SJ; Yang HH; Zhang XB
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 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. A computer aided diagnosis system for thyroid disease using extreme learning machine.
    Li LN; Ouyang JH; Chen HL; Liu DY
    J Med Syst; 2012 Oct; 36(5):3327-37. PubMed ID: 22327384
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of coronary artery disease by reduced features and extreme learning machine.
    Singh RS; Saini BS; Sunkaria RK
    Clujul Med; 2018; 91(2):166-175. PubMed ID: 29785154
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Robust algorithm for arrhythmia classification in ECG using extreme learning machine.
    Kim J; Shin HS; Shin K; Lee M
    Biomed Eng Online; 2009 Oct; 8():31. PubMed ID: 19863819
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Performance comparison of SLFN training algorithms for DNA microarray classification.
    Huynh HT; Kim JJ; Won Y
    Adv Exp Med Biol; 2011; 696():135-43. PubMed ID: 21431554
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Random feature subspace ensemble based Extreme Learning Machine for liver tumor detection and segmentation.
    Huang W; Yang Y; Lin Z; Huang GB; Zhou J; Duan Y; Xiong W
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():4675-8. PubMed ID: 25571035
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.