Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis
| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.author | Ehinger, Benedikt V. | |
| dc.contributor.author | Dimigen, Olaf | |
| dc.date.accessioned | 2022-04-19T14:02:50Z | - |
| dc.date.available | 2022-04-19T14:02:50Z | - |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/51705 | - |
| dc.publisher | Cold Spring Harbor Laboratory | |
| dc.relation.ispartof | bioRxiv | |
| dc.rights | cc-by | |
| dc.subject | Linear regression | |
| dc.subject | Regression | |
| dc.subject | Electroencephalography | |
| dc.subject | Pattern recognition (psychology) | |
| dc.subject | General linear model | |
| dc.subject | Support vector machine | |
| dc.subject | Parametric statistics | |
| dc.subject | Data mining | |
| dc.subject | Algorithm | |
| dc.subject | Linear model | |
| dc.subject | Computer science | |
| dc.subject | Linear prediction | |
| dc.subject | Identification (biology) | |
| dc.subject | Interpretability | |
| dc.subject | Toolbox | |
| dc.subject | Machine learning | |
| dc.subject | Software | |
| dc.subject | Data-driven | |
| dc.subject | Artificial intelligence | |
| dc.title | Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis | |
| dc.type | journal article | |
| dc.identifier.doi | https://doi.org/10.1101/360156 | |
| dc.description.startpage | 360156 | |
| dc.identifier.external | https://openalex.org/W2810187604 | |
| dcterms.oaStatus | true | |
| local.import.sourcefile | openalex_uos_20220409.ris | |
| crisitem.author.dept | Institut für Kognitionswissenschaft | - |
| crisitem.author.deptid | institute28 | - |
| crisitem.author.parentorg | FB 08 - Humanwissenschaften | - |
| crisitem.author.grandparentorg | Universität Osnabrück | - |
| crisitem.author.netid | EhBe492 | - |
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