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 *

107 related articles for article (PubMed ID: 28816676)

  • 1. A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
    Wang Y; Xia ST; Tang Q; Wu J; Zhu X
    IEEE Trans Neural Netw Learn Syst; 2018 Aug; 29(8):3510-3523. PubMed ID: 28816676
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
    Nguyen TT; Huang J; Wu Q; Nguyen T; Li M
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S5. PubMed ID: 25708662
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.
    Sun J; Yu H; Zhong G; Dong J; Zhang S; Yu H
    IEEE Trans Cybern; 2022 Jan; 52(1):205-214. PubMed ID: 32203041
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unbiased feature selection in learning random forests for high-dimensional data.
    Nguyen TT; Huang JZ; Nguyen TT
    ScientificWorldJournal; 2015; 2015():471371. PubMed ID: 25879059
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Banzhaf random forests: Cooperative game theory based random forests with consistency.
    Sun J; Zhong G; Huang K; Dong J
    Neural Netw; 2018 Oct; 106():20-29. PubMed ID: 30007122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Provable Boolean interaction recovery from tree ensemble obtained via random forests.
    Behr M; Wang Y; Li X; Yu B
    Proc Natl Acad Sci U S A; 2022 May; 119(22):e2118636119. PubMed ID: 35609192
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Random forest construction with robust semisupervised node splitting.
    Liu X; Song M; Tao D; Liu Z; Zhang L; Chen C; Bu J
    IEEE Trans Image Process; 2015 Jan; 24(1):471-83. PubMed ID: 25494503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cluster ensemble based on Random Forests for genetic data.
    Alhusain L; Hafez AM
    BioData Min; 2017; 10():37. PubMed ID: 29270227
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Temporally informed random forests for suicide risk prediction.
    Bayramli I; Castro V; Barak-Corren Y; Madsen EM; Nock MK; Smoller JW; Reis BY
    J Am Med Inform Assoc; 2021 Dec; 29(1):62-71. PubMed ID: 34725687
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The parameter sensitivity of random forests.
    Huang BF; Boutros PC
    BMC Bioinformatics; 2016 Sep; 17(1):331. PubMed ID: 27586051
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reinforcement Learning Trees.
    Zhu R; Zeng D; Kosorok MR
    J Am Stat Assoc; 2015; 110(512):1770-1784. PubMed ID: 26903687
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.
    Ma L; Fan S
    BMC Bioinformatics; 2017 Mar; 18(1):169. PubMed ID: 28292263
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter.
    Yang J; Liu W
    Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35890762
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis.
    Ozçift A
    Comput Biol Med; 2011 May; 41(5):265-71. PubMed ID: 21419401
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Plausibility of Individual Decisions from Random Forests in Clinical Predictive Modelling Applications.
    Hayn D; Walch H; Stieg J; Kreiner K; Ebner H; Schreier G
    Stud Health Technol Inform; 2017; 236():328-335. PubMed ID: 28508814
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model.
    Li Y; Ho CP; Toulemonde M; Chahal N; Senior R; Tang MX
    IEEE Trans Med Imaging; 2018 May; 37(5):1081-1091. PubMed ID: 28961106
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.
    Steyrl D; Scherer R; Faller J; Müller-Putz GR
    Biomed Tech (Berl); 2016 Feb; 61(1):77-86. PubMed ID: 25830903
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.
    Kruppa J; Liu Y; Biau G; Kohler M; König IR; Malley JD; Ziegler A
    Biom J; 2014 Jul; 56(4):534-63. PubMed ID: 24478134
    [TBL] [Abstract][Full Text] [Related]  

  • 19. GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.
    Naghibi SA; Pourghasemi HR; Dixon B
    Environ Monit Assess; 2016 Jan; 188(1):44. PubMed ID: 26687087
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation.
    He X; Liu G
    Sensors (Basel); 2016 Aug; 16(9):. PubMed ID: 27589764
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.