Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904598281> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2904598281 abstract "Time-series EEG signals in a raw form are challenging to analyze, train, and compute. Several feature extraction methods, such as fast Fourier transform, wavelet transform, and time-frequency distributions, are commonly employed for this purpose. However, when applied to different datasets, the alignment between the method and machine learning algorithms varies significantly. Through an EEG experiment, we test a simultaneous analysis and unsupervised learning application that can effectively determine what feature extraction method will potentially lead to a higher prediction precision when the ground truth is provided by the participants at a later stage." @default.
- W2904598281 created "2018-12-22" @default.
- W2904598281 creator A5038242344 @default.
- W2904598281 creator A5077571392 @default.
- W2904598281 date "2018-01-01" @default.
- W2904598281 modified "2023-09-24" @default.
- W2904598281 title "Simultaneous EEG Analysis and Feature Extraction Selection Based on Unsupervised Learning" @default.
- W2904598281 cites W1987971958 @default.
- W2904598281 cites W2002055708 @default.
- W2904598281 cites W2018447683 @default.
- W2904598281 cites W2022856590 @default.
- W2904598281 cites W2071965987 @default.
- W2904598281 cites W2073751873 @default.
- W2904598281 cites W2075647286 @default.
- W2904598281 cites W2081420711 @default.
- W2904598281 cites W2085487226 @default.
- W2904598281 cites W2125963092 @default.
- W2904598281 cites W2160410052 @default.
- W2904598281 cites W2232827647 @default.
- W2904598281 cites W2242549327 @default.
- W2904598281 cites W2305591465 @default.
- W2904598281 cites W2321462252 @default.
- W2904598281 cites W2521878393 @default.
- W2904598281 cites W2606546398 @default.
- W2904598281 cites W2618146632 @default.
- W2904598281 cites W2735929172 @default.
- W2904598281 cites W2765192561 @default.
- W2904598281 cites W2811153207 @default.
- W2904598281 doi "https://doi.org/10.1007/978-3-030-05587-5_25" @default.
- W2904598281 hasPublicationYear "2018" @default.
- W2904598281 type Work @default.
- W2904598281 sameAs 2904598281 @default.
- W2904598281 citedByCount "1" @default.
- W2904598281 countsByYear W29045982812019 @default.
- W2904598281 crossrefType "book-chapter" @default.
- W2904598281 hasAuthorship W2904598281A5038242344 @default.
- W2904598281 hasAuthorship W2904598281A5077571392 @default.
- W2904598281 hasConcept C102519508 @default.
- W2904598281 hasConcept C118552586 @default.
- W2904598281 hasConcept C119857082 @default.
- W2904598281 hasConcept C134306372 @default.
- W2904598281 hasConcept C138885662 @default.
- W2904598281 hasConcept C146849305 @default.
- W2904598281 hasConcept C148483581 @default.
- W2904598281 hasConcept C153180895 @default.
- W2904598281 hasConcept C154945302 @default.
- W2904598281 hasConcept C15744967 @default.
- W2904598281 hasConcept C196216189 @default.
- W2904598281 hasConcept C2776401178 @default.
- W2904598281 hasConcept C33923547 @default.
- W2904598281 hasConcept C41008148 @default.
- W2904598281 hasConcept C41895202 @default.
- W2904598281 hasConcept C47432892 @default.
- W2904598281 hasConcept C522805319 @default.
- W2904598281 hasConcept C52622490 @default.
- W2904598281 hasConceptScore W2904598281C102519508 @default.
- W2904598281 hasConceptScore W2904598281C118552586 @default.
- W2904598281 hasConceptScore W2904598281C119857082 @default.
- W2904598281 hasConceptScore W2904598281C134306372 @default.
- W2904598281 hasConceptScore W2904598281C138885662 @default.
- W2904598281 hasConceptScore W2904598281C146849305 @default.
- W2904598281 hasConceptScore W2904598281C148483581 @default.
- W2904598281 hasConceptScore W2904598281C153180895 @default.
- W2904598281 hasConceptScore W2904598281C154945302 @default.
- W2904598281 hasConceptScore W2904598281C15744967 @default.
- W2904598281 hasConceptScore W2904598281C196216189 @default.
- W2904598281 hasConceptScore W2904598281C2776401178 @default.
- W2904598281 hasConceptScore W2904598281C33923547 @default.
- W2904598281 hasConceptScore W2904598281C41008148 @default.
- W2904598281 hasConceptScore W2904598281C41895202 @default.
- W2904598281 hasConceptScore W2904598281C47432892 @default.
- W2904598281 hasConceptScore W2904598281C522805319 @default.
- W2904598281 hasConceptScore W2904598281C52622490 @default.
- W2904598281 hasLocation W29045982811 @default.
- W2904598281 hasOpenAccess W2904598281 @default.
- W2904598281 hasPrimaryLocation W29045982811 @default.
- W2904598281 hasRelatedWork W1838411906 @default.
- W2904598281 hasRelatedWork W2056244878 @default.
- W2904598281 hasRelatedWork W2096154736 @default.
- W2904598281 hasRelatedWork W2117593965 @default.
- W2904598281 hasRelatedWork W2124644809 @default.
- W2904598281 hasRelatedWork W2157346865 @default.
- W2904598281 hasRelatedWork W2582302307 @default.
- W2904598281 hasRelatedWork W2597999477 @default.
- W2904598281 hasRelatedWork W2599463079 @default.
- W2904598281 hasRelatedWork W2799554028 @default.
- W2904598281 hasRelatedWork W2891857146 @default.
- W2904598281 hasRelatedWork W2906933045 @default.
- W2904598281 hasRelatedWork W2953871926 @default.
- W2904598281 hasRelatedWork W2977556778 @default.
- W2904598281 hasRelatedWork W3038474676 @default.
- W2904598281 hasRelatedWork W3090529350 @default.
- W2904598281 hasRelatedWork W3151715958 @default.
- W2904598281 hasRelatedWork W3201843195 @default.
- W2904598281 hasRelatedWork W3214636108 @default.
- W2904598281 hasRelatedWork W3069817865 @default.
- W2904598281 isParatext "false" @default.
- W2904598281 isRetracted "false" @default.
- W2904598281 magId "2904598281" @default.
- W2904598281 workType "book-chapter" @default.