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Special issue on towards advancements in machine learning for exploiting large-scale and heterogeneous repositories.
- Source :
- Neural Computing & Applications; Apr2023, Vol. 35 Issue 11, p7909-7911, 3p
- Publication Year :
- 2023
-
Abstract
- Experiments on the CheXpert dataset, which is a publicly available multi-disease chest radiograph dataset, and the TBX11K dataset show that the proposed model generates identical results. The MOFPA-WT is tested using a standard EEG signal processing dataset, namely the EEG motor movement/imagery dataset. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 09410643
- Volume :
- 35
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Neural Computing & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 162587452
- Full Text :
- https://doi.org/10.1007/s00521-022-08182-5