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 *

175 related articles for article (PubMed ID: 33048744)

  • 1. CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics.
    Li G; Wang J; Shen HW; Chen K; Shan G; Lu Z
    IEEE Trans Vis Comput Graph; 2021 Feb; 27(2):1364-1373. PubMed ID: 33048744
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network.
    Wu T; Shi J; Zhou D; Zheng X; Li N
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.
    He Y; Dong X; Kang G; Fu Y; Yan C; Yang Y
    IEEE Trans Cybern; 2020 Aug; 50(8):3594-3604. PubMed ID: 31478883
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Weak sub-network pruning for strong and efficient neural networks.
    Guo Q; Wu XJ; Kittler J; Feng Z
    Neural Netw; 2021 Dec; 144():614-626. PubMed ID: 34653719
    [TBL] [Abstract][Full Text] [Related]  

  • 5. VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks.
    Xuan X; Zhang X; Kwon OH; Ma KL
    IEEE Trans Vis Comput Graph; 2022 Jun; 28(6):2326-2337. PubMed ID: 35389868
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Filter pruning for convolutional neural networks in semantic image segmentation.
    López-González CI; Gascó E; Barrientos-Espillco F; Besada-Portas E; Pajares G
    Neural Netw; 2024 Jan; 169():713-732. PubMed ID: 37976595
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices.
    Choudhary T; Mishra V; Goswami A; Sarangapani J
    Comput Biol Med; 2021 Jul; 134():104432. PubMed ID: 33964737
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques.
    Sivakumar M; Padmapriya ST
    Curr Med Imaging; 2024; 20():e15734056303076. PubMed ID: 38918982
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification.
    Hajabdollahi M; Esfandiarpoor R; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():970-973. PubMed ID: 31946055
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention.
    Tian G; Sun Y; Liu Y; Zeng X; Wang M; Liu Y; Zhang J; Chen J
    IEEE Trans Neural Netw Learn Syst; 2021 Sep; PP():. PubMed ID: 34487502
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Redundancy-Aware Pruning of Convolutional Neural Networks.
    Xie G
    Neural Comput; 2020 Dec; 32(12):2532-2556. PubMed ID: 33080161
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fast Filter Pruning via Coarse-to-Fine Neural Architecture Search and Contrastive Knowledge Transfer.
    Lee S; Song BC
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):9674-9685. PubMed ID: 37021856
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hierarchical Threshold Pruning Based on Uniform Response Criterion.
    Qian Y; He Z; Wang Y; Wang B; Ling X; Gu Z; Wang H; Zeng S; Swaileh W
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; 35(8):10869-10881. PubMed ID: 37071515
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multistage Pruning of CNN Based ECG Classifiers for Edge Devices.
    Xiaolin L; Panicker RC; Cardiff B; John D
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1965-1968. PubMed ID: 34891672
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning lightweight super-resolution networks with weight pruning.
    Jiang X; Wang N; Xin J; Xia X; Yang X; Gao X
    Neural Netw; 2021 Dec; 144():21-32. PubMed ID: 34450444
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cross-Entropy Pruning for Compressing Convolutional Neural Networks.
    Bao R; Yuan X; Chen Z; Ma R
    Neural Comput; 2018 Nov; 30(11):3128-3149. PubMed ID: 30216142
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ARPruning: An automatic channel pruning based on attention map ranking.
    Yuan T; Li Z; Liu B; Tang Y; Liu Y
    Neural Netw; 2024 Jun; 174():106220. PubMed ID: 38447427
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ThiNet: Pruning CNN Filters for a Thinner Net.
    Luo JH; Zhang H; Zhou HY; Xie CW; Wu J; Lin W
    IEEE Trans Pattern Anal Mach Intell; 2019 Oct; 41(10):2525-2538. PubMed ID: 30040622
    [TBL] [Abstract][Full Text] [Related]  

  • 19. LAP: Latency-aware automated pruning with dynamic-based filter selection.
    Chen Z; Liu C; Yang W; Li K; Li K
    Neural Netw; 2022 Aug; 152():407-418. PubMed ID: 35609502
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cross-layer importance evaluation for neural network pruning.
    Lian Y; Peng P; Jiang K; Xu W
    Neural Netw; 2024 Nov; 179():106496. PubMed ID: 39285609
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.