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Special issue on towards advancements in machine learning for exploiting large-scale and heterogeneous repositories.

Authors :
Anwar, Sajid
Rocha, Álvaro
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