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 *

85 related articles for article (PubMed ID: 30021081)

  • 1. An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.
    Wang Q; Zhang K; Ororbia Ii AG; Xing X; Liu X; Giles CL
    Neural Comput; 2018 Sep; 30(9):2568-2591. PubMed ID: 30021081
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Recursive neural network rule extraction for data with mixed attributes.
    Setiono R; Baesens B; Mues C
    IEEE Trans Neural Netw; 2008 Feb; 19(2):299-307. PubMed ID: 18269960
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new approach to knowledge-based design of recurrent neural networks.
    Kolman E; Margaliot M
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1389-401. PubMed ID: 18701369
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Recursive Bayesian recurrent neural networks for time-series modeling.
    Mirikitani DT; Nikolaev N
    IEEE Trans Neural Netw; 2010 Feb; 21(2):262-74. PubMed ID: 20040415
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Considerations in using recurrent neural networks to probe neural dynamics.
    Kao JC
    J Neurophysiol; 2019 Dec; 122(6):2504-2521. PubMed ID: 31619125
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Markovian architectural bias of recurrent neural networks.
    Tino P; Cernanský M; Benusková L
    IEEE Trans Neural Netw; 2004 Jan; 15(1):6-15. PubMed ID: 15387243
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks.
    Sussillo D; Barak O
    Neural Comput; 2013 Mar; 25(3):626-49. PubMed ID: 23272922
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Uncovering the effect of different brain regions on behavioral classification using recurrent neural networks.
    Zhang Y; Mitelut C; Silasi G; Bolanos F; Swindale N; Murphy T; Saxena S
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6602-6607. PubMed ID: 34892622
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review.
    Chen Y; Cheng Q; Cheng Y; Yang H; Yu H
    Neural Comput; 2018 Nov; 30(11):2855-2881. PubMed ID: 30216144
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A study on rule extraction from several combined neural networks.
    Bologna G
    Int J Neural Syst; 2001 Jun; 11(3):247-55. PubMed ID: 11574962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Recurrent neural networks as versatile tools of neuroscience research.
    Barak O
    Curr Opin Neurobiol; 2017 Oct; 46():1-6. PubMed ID: 28668365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks.
    Yi Z
    IEEE Trans Neural Netw; 2010 Mar; 21(3):494-507. PubMed ID: 20142165
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multistep Prediction of Dynamic Systems With Recurrent Neural Networks.
    Mohajerin N; Waslander SL
    IEEE Trans Neural Netw Learn Syst; 2019 Nov; 30(11):3370-3383. PubMed ID: 30714932
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Piecewise-linear neural networks and their relationship to rule extraction from data.
    Holena M
    Neural Comput; 2006 Nov; 18(11):2813-53. PubMed ID: 16999580
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Extracting rules from neural networks as decision diagrams.
    Chorowski J; Zurada JM
    IEEE Trans Neural Netw; 2011 Dec; 22(12):2435-46. PubMed ID: 21335310
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extraction of rules from artificial neural networks for nonlinear regression.
    Setiono R; Leow WK; Zurada JM
    IEEE Trans Neural Netw; 2002; 13(3):564-77. PubMed ID: 18244457
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Active Learning-Based Pedagogical Rule Extraction.
    Junqué de Fortuny E; Martens D
    IEEE Trans Neural Netw Learn Syst; 2015 Nov; 26(11):2664-77. PubMed ID: 25622329
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach.
    Etchells TA; Lisboa PJ
    IEEE Trans Neural Netw; 2006 Mar; 17(2):374-84. PubMed ID: 16566465
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Greedy rule generation from discrete data and its use in neural network rule extraction.
    Odajima K; Hayashi Y; Tianxia G; Setiono R
    Neural Netw; 2008 Sep; 21(7):1020-8. PubMed ID: 18442894
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pruning recurrent neural networks for improved generalization performance.
    Giles CL; Omlin CW
    IEEE Trans Neural Netw; 1994; 5(5):848-51. PubMed ID: 18267860
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.