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 *

268 related articles for article (PubMed ID: 36410303)

  • 1. Neurodynamics-driven holistic approaches to semi-supervised feature selection.
    Wang Y; Wang J
    Neural Netw; 2023 Jan; 157():377-386. PubMed ID: 36410303
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A neurodynamic optimization approach to supervised feature selection via fractional programming.
    Wang Y; Li X; Wang J
    Neural Netw; 2021 Apr; 136():194-206. PubMed ID: 33497995
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations.
    Wang Y; Wang J; Che H
    Neural Netw; 2021 Oct; 142():180-191. PubMed ID: 34020085
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Supervised Feature Selection via Collaborative Neurodynamic Optimization.
    Wang Y; Wang W; Pal NR
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6878-6892. PubMed ID: 36306292
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discriminative semi-supervised feature selection via manifold regularization.
    Xu Z; King I; Lyu MR; Jin R
    IEEE Trans Neural Netw; 2010 Jul; 21(7):1033-47. PubMed ID: 20570772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature Selection With Maximal Relevance and Minimal Supervised Redundancy.
    Wang Y; Li X; Ruiz R
    IEEE Trans Cybern; 2023 Feb; 53(2):707-717. PubMed ID: 35130179
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Maximum margin semi-supervised learning with irrelevant data.
    Yang H; Huang K; King I; Lyu MR
    Neural Netw; 2015 Oct; 70():90-102. PubMed ID: 26264172
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
    Jiang B; Chen S; Wang B; Luo B
    Neural Netw; 2022 Sep; 153():204-214. PubMed ID: 35750007
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.
    Ang JC; Mirzal A; Haron H; Hamed HN
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):971-989. PubMed ID: 26390495
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
    Dornaika F; Bi J; Zhang C
    Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semi-supervised medical image classification via distance correlation minimization and graph attention regularization.
    Berenguer AD; Kvasnytsia M; Bossa MN; Mukherjee T; Deligiannis N; Sahli H
    Med Image Anal; 2024 May; 94():103107. PubMed ID: 38401269
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neurodynamics-driven portfolio optimization with targeted performance criteria.
    Wang J; Gan X
    Neural Netw; 2023 Jan; 157():404-421. PubMed ID: 36413848
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep semi-supervised learning via dynamic anchor graph embedding in latent space.
    Tu E; Wang Z; Yang J; Kasabov N
    Neural Netw; 2022 Feb; 146():350-360. PubMed ID: 34929418
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
    Azadifar S; Ahmadi A
    BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity.
    Lu S; Shi X; Li M; Jiao J; Feng L; Wang G
    Math Biosci Eng; 2021 May; 18(4):4586-4602. PubMed ID: 34198455
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Self-supervised driven consistency training for annotation efficient histopathology image analysis.
    Srinidhi CL; Kim SW; Chen FD; Martel AL
    Med Image Anal; 2022 Jan; 75():102256. PubMed ID: 34717189
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Handling Imbalanced Data: Uncertainty-Guided Virtual Adversarial Training With Batch Nuclear-Norm Optimization for Semi-Supervised Medical Image Classification.
    Liu P; Zheng G
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):2983-2994. PubMed ID: 35344500
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Graph Convolution Networks with manifold regularization for semi-supervised learning.
    Kejani MT; Dornaika F; Talebi H
    Neural Netw; 2020 Jul; 127():160-167. PubMed ID: 32361546
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.
    Xie J; Liu S; Dai H
    Neural Netw; 2019 Nov; 119():261-272. PubMed ID: 31473577
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.