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 *

334 related articles for article (PubMed ID: 20876935)

  • 1. Ensemble learning with active example selection for imbalanced biomedical data classification.
    Oh S; Lee MS; Zhang BT
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):316-25. PubMed ID: 20876935
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evolutionary undersampling for classification with imbalanced datasets: proposals and taxonomy.
    García S; Herrera F
    Evol Comput; 2009; 17(3):275-306. PubMed ID: 19708770
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning to improve medical decision making from imbalanced data without a priori cost.
    Wan X; Liu J; Cheung WK; Tong T
    BMC Med Inform Decis Mak; 2014 Dec; 14():111. PubMed ID: 25480146
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Embedding Undersampling Rotation Forest for Imbalanced Problem.
    Guo H; Diao X; Liu H
    Comput Intell Neurosci; 2018; 2018():6798042. PubMed ID: 30515200
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Protein classification with imbalanced data.
    Zhao XM; Li X; Chen L; Aihara K
    Proteins; 2008 Mar; 70(4):1125-32. PubMed ID: 18076026
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Class-imbalanced classifiers for high-dimensional data.
    Lin WJ; Chen JJ
    Brief Bioinform; 2013 Jan; 14(1):13-26. PubMed ID: 22408190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Immune centroids oversampling method for binary classification.
    Ai X; Wu J; Sheng VS; Zhao P; Cui Z
    Comput Intell Neurosci; 2015; 2015():109806. PubMed ID: 25834570
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel ensemble machine learning for robust microarray data classification.
    Peng Y
    Comput Biol Med; 2006 Jun; 36(6):553-73. PubMed ID: 15978569
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
    Ren F; Cao P; Li W; Zhao D; Zaiane O
    Comput Med Imaging Graph; 2017 Jan; 55():54-67. PubMed ID: 27507324
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An active learning based classification strategy for the minority class problem: application to histopathology annotation.
    Doyle S; Monaco J; Feldman M; Tomaszewski J; Madabhushi A
    BMC Bioinformatics; 2011 Oct; 12():424. PubMed ID: 22034914
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages.
    Tuarob S; Tucker CS; Salathe M; Ram N
    J Biomed Inform; 2014 Jun; 49():255-68. PubMed ID: 24642081
    [TBL] [Abstract][Full Text] [Related]  

  • 12. RAMOBoost: Ranked Minority Oversampling in Boosting.
    Chen S; He H; Garcia EA
    IEEE Trans Neural Netw; 2010 Oct; 21(10):1624-42. PubMed ID: 20805051
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets.
    Li DC; Hu SC; Lin LS; Yeh CW
    PLoS One; 2017; 12(8):e0181853. PubMed ID: 28771522
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ensemble-based model selection for imbalanced data to investigate the contributing factors to multiple fatality road crashes in Ghana.
    Yahaya M; Guo R; Jiang X; Bashir K; Matara C; Xu S
    Accid Anal Prev; 2021 Mar; 151():105851. PubMed ID: 33383521
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms.
    Ozcift A; Gulten A
    Comput Methods Programs Biomed; 2011 Dec; 104(3):443-51. PubMed ID: 21531475
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A batch ensemble approach to active learning with model selection.
    Sugiyama M; Rubens N
    Neural Netw; 2008 Nov; 21(9):1278-86. PubMed ID: 18650061
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature Selection for High-Dimensional and Imbalanced Biomedical Data Based on Robust Correlation Based Redundancy and Binary Grasshopper Optimization Algorithm.
    Abdulrauf Sharifai G; Zainol Z
    Genes (Basel); 2020 Jun; 11(7):. PubMed ID: 32605144
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SVMs modeling for highly imbalanced classification.
    Tang Y; Zhang YQ; Chawla NV; Krasser S
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):281-8. PubMed ID: 19068445
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Class prediction for high-dimensional class-imbalanced data.
    Blagus R; Lusa L
    BMC Bioinformatics; 2010 Oct; 11():523. PubMed ID: 20961420
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Boosting random subspace method.
    García-Pedrajas N; Ortiz-Boyer D
    Neural Netw; 2008 Nov; 21(9):1344-62. PubMed ID: 18272334
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.