120 related articles for article (PubMed ID: 33979278)
1. Tweaking Deep Neural Networks.
Kim J; Yoon H; Kim MS
IEEE Trans Pattern Anal Mach Intell; 2022 Sep; 44(9):5715-5728. PubMed ID: 33979278
[TBL] [Abstract][Full Text] [Related]
2. Effective Transfer Learning Algorithm in Spiking Neural Networks.
Zhan Q; Liu G; Xie X; Sun G; Tang H
IEEE Trans Cybern; 2022 Dec; 52(12):13323-13335. PubMed ID: 34270439
[TBL] [Abstract][Full Text] [Related]
3. Biologically plausible deep learning - But how far can we go with shallow networks?
Illing B; Gerstner W; Brea J
Neural Netw; 2019 Oct; 118():90-101. PubMed ID: 31254771
[TBL] [Abstract][Full Text] [Related]
4. A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification.
Jammoussi I; Ben Nasr M
Comput Intell Neurosci; 2020; 2020():2918276. PubMed ID: 32908471
[TBL] [Abstract][Full Text] [Related]
5. Novel deep neural network based pattern field classification architectures.
Huang K; Zhang S; Zhang R; Hussain A
Neural Netw; 2020 Jul; 127():82-95. PubMed ID: 32344155
[TBL] [Abstract][Full Text] [Related]
6. Learning in the machine: Recirculation is random backpropagation.
Baldi P; Sadowski P
Neural Netw; 2018 Dec; 108():479-494. PubMed ID: 30317133
[TBL] [Abstract][Full Text] [Related]
7. Synaptic dynamics: linear model and adaptation algorithm.
Yousefi A; Dibazar AA; Berger TW
Neural Netw; 2014 Aug; 56():49-68. PubMed ID: 24867390
[TBL] [Abstract][Full Text] [Related]
8. Novel maximum-margin training algorithms for supervised neural networks.
Ludwig O; Nunes U
IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
[TBL] [Abstract][Full Text] [Related]
9. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
Kim J; Kim J; Jang GJ; Lee M
Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
[TBL] [Abstract][Full Text] [Related]
10. Evolving Connections in Group of Neurons for Robust Learning.
Liu J; Gong M; Xiao L; Zhang W; Liu F
IEEE Trans Cybern; 2022 May; 52(5):3069-3082. PubMed ID: 33027024
[TBL] [Abstract][Full Text] [Related]
11. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
12. Random synaptic feedback weights support error backpropagation for deep learning.
Lillicrap TP; Cownden D; Tweed DB; Akerman CJ
Nat Commun; 2016 Nov; 7():13276. PubMed ID: 27824044
[TBL] [Abstract][Full Text] [Related]
13. Local Critic Training for Model-Parallel Learning of Deep Neural Networks.
Lee H; Hsieh CJ; Lee JS
IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4424-4436. PubMed ID: 33606645
[TBL] [Abstract][Full Text] [Related]
14. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
15. Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.
Belciug S
J Biomed Inform; 2020 Feb; 102():103373. PubMed ID: 31901506
[TBL] [Abstract][Full Text] [Related]
16. The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse.
Kim M
Neural Netw; 2021 Dec; 144():591-602. PubMed ID: 34634606
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
18. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
19. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
Huynh HT; Won Y; Kim JJ
Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
[TBL] [Abstract][Full Text] [Related]
20. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.
Kim J; Calhoun VD; Shim E; Lee JH
Neuroimage; 2016 Jan; 124(Pt A):127-146. PubMed ID: 25987366
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
