NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection.
Overview
- Department of Artificial Intelligence, Ajou University,Suwon, 16499 Korea
- Department of Software and Computer Engineering, Ajou University,Suwon, 16499 Korea
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Code
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Tracing map
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Data
Datasets cited
- kaggle.com/
datasets/ , at Kaggle; found in “Data availability”buraktaci
Data availability statement
The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to a dataset: kaggle.com/
datasets/ buraktaci
Read it in the paper: doi.org/10.1038/s41598-026-52750-x.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 8 keywords, 5 MeSH terms, 2 funders, 39 references.
Cite
This paper
Ahn, S., Kim, S. Y., & Sohn, K.-A. (2026). NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection. Scientific reports, 16(1), 21781. https://
BibTeX
@article{ahn2026neuronet
author = {Ahn, Sangjin and Kim, So Yeon and Sohn, Kyung-Ah},
title = {{NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {21781},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {42120673},
pmcid = {PMC13358131}
}
RIS
TY - JOUR
AU - Ahn, Sangjin
AU - Kim, So Yeon
AU - Sohn, Kyung-Ah
TI - NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 21781
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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{
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{
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"given": "Kyung-Ah"
}
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"container-title-short":
"volume": "16",
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"DOI": "10.1038/
"PMID": "42120673",
"PMCID": "PMC13358131",
"ISSN": "2045-2322",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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