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 *

86 related articles for article (PubMed ID: 30892200)

  • 21. Learn ++.NC: combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes.
    Muhlbaier MD; Topalis A; Polikar R
    IEEE Trans Neural Netw; 2009 Jan; 20(1):152-68. PubMed ID: 19109088
    [TBL] [Abstract][Full Text] [Related]  

  • 22. An experimental evaluation of boosting methods for classification.
    Stollhoff R; Sauerbrei W; Schumacher M
    Methods Inf Med; 2010; 49(3):219-29. PubMed ID: 20135078
    [TBL] [Abstract][Full Text] [Related]  

  • 23.
    Vigneron V; Maaref H
    Entropy (Basel); 2019 Apr; 21(5):. PubMed ID: 33267154
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A comparative study of data sampling techniques for constructing neural network ensembles.
    Akhand MA; Islam MM; Murase K
    Int J Neural Syst; 2009 Apr; 19(2):67-89. PubMed ID: 19496204
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machine.
    Riccardi A; Fernández-Navarro F; Carloni S
    IEEE Trans Cybern; 2014 Oct; 44(10):1898-909. PubMed ID: 25222730
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Designing boosting ensemble of relational fuzzy systems.
    Scherer R
    Int J Neural Syst; 2010 Oct; 20(5):381-8. PubMed ID: 20945517
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification.
    Nanni L; Brahnam S; Ghidoni S; Lumini A
    Comput Intell Neurosci; 2015; 2015():909123. PubMed ID: 26413089
    [TBL] [Abstract][Full Text] [Related]  

  • 28. RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners.
    Miao Q; Cao Y; Xia G; Gong M; Liu J; Song J
    IEEE Trans Neural Netw Learn Syst; 2016 Nov; 27(11):2216-2228. PubMed ID: 26415187
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects.
    Cacha LA; Parida S; Dehuri S; Cho SB; Poznanski RR
    J Integr Neurosci; 2016 Dec; 15(4):593-606. PubMed ID: 28093025
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Using Chou's pseudo amino acid composition based on approximate entropy and an ensemble of AdaBoost classifiers to predict protein subnuclear location.
    Jiang X; Wei R; Zhao Y; Zhang T
    Amino Acids; 2008 May; 34(4):669-75. PubMed ID: 18256886
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Boosting method for local learning in statistical pattern recognition.
    Kawakita M; Eguchi S
    Neural Comput; 2008 Nov; 20(11):2792-838. PubMed ID: 18533822
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Constructing ensembles of classifiers by means of weighted instance selection.
    García-Pedrajas N
    IEEE Trans Neural Netw; 2009 Feb; 20(2):258-77. PubMed ID: 19179252
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.
    Furxhi I; Murphy F; Mullins M; Poland CA
    Toxicol Lett; 2019 Sep; 312():157-166. PubMed ID: 31102714
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Aggregation of Classifiers: A Justifiable Information Granularity Approach.
    Nguyen TT; Pham XC; Liew AW; Pedrycz W
    IEEE Trans Cybern; 2019 Jun; 49(6):2168-2177. PubMed ID: 29993920
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification.
    Haque MN; Noman N; Berretta R; Moscato P
    PLoS One; 2016; 11(1):e0146116. PubMed ID: 26764911
    [TBL] [Abstract][Full Text] [Related]  

  • 36. AdaBoost-based algorithm for network intrusion detection.
    Hu W; Hu W; Maybank S
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):577-83. PubMed ID: 18348941
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
    Liu H; Lan Y; Xu X; Song E; Hung CC
    Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Efficient optimal linear boosting of a pair of classifiers.
    Boyarshinov V; Magdon-Ismail M
    IEEE Trans Neural Netw; 2007 Mar; 18(2):317-28. PubMed ID: 17385622
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Cost-sensitive boosting.
    Masnadi-Shirazi H; Vasconcelos N
    IEEE Trans Pattern Anal Mach Intell; 2011 Feb; 33(2):294-309. PubMed ID: 21193808
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis.
    Serpen G; Tekkedil DK; Orra M
    Comput Biol Med; 2008 Feb; 38(2):204-20. PubMed ID: 18022148
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.