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 *

363 related articles for article (PubMed ID: 19708770)

  • 1. 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]  

  • 2. 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]  

  • 3. An approach for classification of highly imbalanced data using weighting and undersampling.
    Anand A; Pugalenthi G; Fogel GB; Suganthan PN
    Amino Acids; 2010 Nov; 39(5):1385-91. PubMed ID: 20411285
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Adaptive weighted learning for unbalanced multicategory classification.
    Qiao X; Liu Y
    Biometrics; 2009 Mar; 65(1):159-68. PubMed ID: 18363773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Accuracy-based learning classifier systems: models, analysis and applications to classification tasks.
    Bernadó-Mansilla E; Garrell-Guiu JM
    Evol Comput; 2003; 11(3):209-38. PubMed ID: 14558911
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis and improvement of fitness exploitation in XCS: bounding models, tournament selection, and bilateral accuracy.
    Butz MV; Goldberg DE; Tharakunnel K
    Evol Comput; 2003; 11(3):239-77. PubMed ID: 14558912
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. An impatient evolutionary algorithm with probabilistic tabu search for unified solution of some NP-hard problems in graph and set theory via clique finding.
    Guturu P; Dantu R
    IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):645-66. PubMed ID: 18558530
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification of highly unbalanced CYP450 data of drugs using cost sensitive machine learning techniques.
    Eitrich T; Kless A; Druska C; Meyer W; Grotendorst J
    J Chem Inf Model; 2007; 47(1):92-103. PubMed ID: 17238253
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification.
    Kang Q; Chen X; Li S; Zhou M
    IEEE Trans Cybern; 2017 Dec; 47(12):4263-4274. PubMed ID: 28113413
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Exploratory undersampling for class-imbalance learning.
    Liu XY; Wu J; Zhou ZH
    IEEE Trans Syst Man Cybern B Cybern; 2009 Apr; 39(2):539-50. PubMed ID: 19095540
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Developing new fitness functions in genetic programming for classification with unbalanced data.
    Bhowan U; Johnston M; Zhang M
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):406-21. PubMed ID: 21954215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification as clustering: a Pareto cooperative-competitive GP approach.
    McIntyre AR; Heywood MI
    Evol Comput; 2011; 19(1):137-66. PubMed ID: 20879899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust BMPM training based on second-order cone programming and its application in medical diagnosis.
    Peng X; King I
    Neural Netw; 2008; 21(2-3):450-7. PubMed ID: 18282689
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Performance and efficiency of memetic Pittsburgh learning classifier systems.
    Bacardit J; Krasnogor N
    Evol Comput; 2009; 17(3):307-42. PubMed ID: 19708771
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 19.