130 related articles for article (PubMed ID: 37838395)
1. Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks.
Huynh VQ; Van Huynh T
Med Eng Phys; 2023 Oct; 120():104041. PubMed ID: 37838395
[TBL] [Abstract][Full Text] [Related]
2. Towards accelerating model parallelism in distributed deep learning systems.
Choi H; Lee BH; Chun SY; Lee J
PLoS One; 2023; 18(11):e0293338. PubMed ID: 37917655
[TBL] [Abstract][Full Text] [Related]
3. Scalable and Practical Natural Gradient for Large-Scale Deep Learning.
Osawa K; Tsuji Y; Ueno Y; Naruse A; Foo CS; Yokota R
IEEE Trans Pattern Anal Mach Intell; 2022 Jan; 44(1):404-415. PubMed ID: 32750792
[TBL] [Abstract][Full Text] [Related]
4. A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification.
Li H; Zhang L
IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):4901-4915. PubMed ID: 33017295
[TBL] [Abstract][Full Text] [Related]
5. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
6. A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection.
Hermans T; Smets L; Lemmens K; Dereymaeker A; Jansen K; Naulaers G; Zappasodi F; Van Huffel S; Comani S; De Vos M
J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36791462
[No Abstract] [Full Text] [Related]
7. Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling.
Peng X; Li L; Wang FY
IEEE Trans Neural Netw Learn Syst; 2020 Nov; 31(11):4649-4659. PubMed ID: 31899442
[TBL] [Abstract][Full Text] [Related]
8. An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections.
Dong Y; Zhao D; Li Y; Zeng Y
Neural Netw; 2023 Aug; 165():799-808. PubMed ID: 37418862
[TBL] [Abstract][Full Text] [Related]
9. Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients.
Kwon K; Kim D; Kim B; Park H
Magn Reson Med; 2020 Jan; 83(1):124-138. PubMed ID: 31403219
[TBL] [Abstract][Full Text] [Related]
10. Uncovering the structure of clinical EEG signals with self-supervised learning.
Banville H; Chehab O; Hyvärinen A; Engemann DA; Gramfort A
J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33181507
[No Abstract] [Full Text] [Related]
11. Data augmentation for enhancing EEG-based emotion recognition with deep generative models.
Luo Y; Zhu LZ; Wan ZY; Lu BL
J Neural Eng; 2020 Oct; 17(5):056021. PubMed ID: 33052888
[TBL] [Abstract][Full Text] [Related]
12. Does Meta-Learning Improve EEG Motor Imagery Classification?
Wu X; Chan RHM
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():4048-4051. PubMed ID: 36086333
[TBL] [Abstract][Full Text] [Related]
13. Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment.
Lee S; He C; Avestimehr S
Neural Netw; 2023 Jan; 158():1-14. PubMed ID: 36436301
[TBL] [Abstract][Full Text] [Related]
14. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Liu L; Zhang Z; Li S; Ma K; Zheng Y
Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
[TBL] [Abstract][Full Text] [Related]
15. Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.
Yellapragada B; Hornauer S; Snyder K; Yu S; Yiu G
Ophthalmol Retina; 2022 Feb; 6(2):116-129. PubMed ID: 34217854
[TBL] [Abstract][Full Text] [Related]
16. Complex-valued unsupervised convolutional neural networks for sleep stage classification.
Zhang J; Wu Y
Comput Methods Programs Biomed; 2018 Oct; 164():181-191. PubMed ID: 30195426
[TBL] [Abstract][Full Text] [Related]
17. The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents.
Liu M; Li M; Zhang X
Comput Intell Neurosci; 2022; 2022():5653942. PubMed ID: 35707184
[TBL] [Abstract][Full Text] [Related]
18. Deep learning for electroencephalogram (EEG) classification tasks: a review.
Craik A; He Y; Contreras-Vidal JL
J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
[TBL] [Abstract][Full Text] [Related]
19. EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
Dar MN; Akram MU; Yuvaraj R; Gul Khawaja S; Murugappan M
Comput Biol Med; 2022 May; 144():105327. PubMed ID: 35303579
[TBL] [Abstract][Full Text] [Related]
20. A gradient-based automatic optimization CNN framework for EEG state recognition.
Wang H; Zhu X; Chen P; Yang Y; Ma C; Gao Z
J Neural Eng; 2022 Jan; 19(1):. PubMed ID: 34883472
[No Abstract] [Full Text] [Related]
[Next] [New Search]