{"id":"https://openalex.org/W4390176985","doi":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","title":"Transfer learning for epilepsy detection using spectrogram images","display_name":"Transfer learning for epilepsy detection using spectrogram images","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390176985","doi":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029"},"language":"en","primary_location":{"id":"doi:10.11591/ijai.v13.i1.pp1022-1029","doi":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23810/13905","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23810/13905","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030744113","display_name":"Fatima Edderbali","orcid":"https://orcid.org/0000-0001-8061-1706","observed_orcids":["https://orcid.org/0000-0001-8061-1706"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Fatima Edderbali","raw_affiliation_strings":["Hassan First University"],"raw_orcid":"https://orcid.org/0000-0001-8061-1706","affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044822535","display_name":"Mohamed Harmouchi","orcid":"https://orcid.org/0000-0001-8289-8202","observed_orcids":["https://orcid.org/0000-0001-8289-8202"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Harmouchi","raw_affiliation_strings":["Hassan First University"],"raw_orcid":"https://orcid.org/0000-0001-8289-8202","affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052894838","display_name":"Elmaati Essoukaki","orcid":"https://orcid.org/0000-0002-7053-9867","observed_orcids":["https://orcid.org/0000-0002-7053-9867"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Elmaati Essoukaki","raw_affiliation_strings":["Hassan First University"],"raw_orcid":"https://orcid.org/0000-0002-7053-9867","affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210145365"],"apc_list":null,"apc_paid":null,"fwci":0.699,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6154238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"13","issue":"1","first_page":"1022","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/seizure-detection","display_name":"seizure detection","score":0.9950000047683716},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.8529999852180481},{"id":"https://openalex.org/keywords/spectrogram-images","display_name":"spectrogram images","score":0.8709999918937683},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9779999852180481},{"id":"https://openalex.org/keywords/resnet","display_name":"ResNet","score":0.7879999876022339},{"id":"https://openalex.org/keywords/vgg19","display_name":"VGG19","score":0.9020000100135803},{"id":"https://openalex.org/keywords/alexnet","display_name":"AlexNet","score":0.9929999709129333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9129999876022339},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"continuous wavelet transform","score":0.7440000176429749},{"id":"https://openalex.org/keywords/epilepsy-monitoring","display_name":"epilepsy monitoring","score":0.5080000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996425628662109},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7512235045433044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7187511324882507},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6689780354499817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6614064574241638},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6605141758918762},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5862653851509094},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.49124211072921753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48654189705848694},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4614620804786682},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43715861439704895},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3805629014968872},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.075397789478302},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijai.v13.i1.pp1022-1029","doi":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23810/13905","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijai.v13.i1.pp1022-1029","doi":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijai.v13.i1.pp1022-1029","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23810/13905","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390176985.pdf","grobid_xml":"https://content.openalex.org/works/W4390176985.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1988301066","https://openalex.org/W1998711164","https://openalex.org/W2001695150","https://openalex.org/W2059185913","https://openalex.org/W2109553965","https://openalex.org/W2170505850","https://openalex.org/W2246329527","https://openalex.org/W2315020560","https://openalex.org/W2516904419","https://openalex.org/W2790040984","https://openalex.org/W2910121883","https://openalex.org/W2963008443","https://openalex.org/W2993751684","https://openalex.org/W3000724186","https://openalex.org/W3140854437","https://openalex.org/W3193933289","https://openalex.org/W3208576249","https://openalex.org/W4246077003","https://openalex.org/W4251508538","https://openalex.org/W4297226171","https://openalex.org/W4362470850","https://openalex.org/W4367358492"],"related_works":["https://openalex.org/W4410739794","https://openalex.org/W4393125234","https://openalex.org/W4394575232","https://openalex.org/W3137016587","https://openalex.org/W7218718761","https://openalex.org/W3003748916","https://openalex.org/W3118794207","https://openalex.org/W4399728001","https://openalex.org/W4321843853","https://openalex.org/W4366980097"],"abstract_inverted_index":{"Epilepsy":[0],"stands":[1],"out":[2],"as":[3,156,188],"one":[4],"of":[5,13,23,45,54,77,83,88,101,111,145,195],"the":[6,14,51,57,64,67,81,89,94,138,159,193,196],"common":[7],"neurological":[8],"diseases.":[9],"The":[10,43],"neural":[11,125],"activity":[12],"brain":[15,25],"is":[16,27,48],"observed":[17],"using":[18,56,75,128,183],"electroencephalography":[19],"(EEG).":[20],"Manual":[21],"inspection":[22],"EEG":[24,72,95,176],"signals":[26,73,96,177],"a":[28,142,157,179],"slow":[29],"and":[30,39,66,123,140,147,155,191],"arduous":[31],"process,":[32],"which":[33,79],"puts":[34],"heavy":[35],"load":[36],"on":[37],"neurologists":[38],"affects":[40],"their":[41,153],"performance.":[42],"aim":[44],"this":[46,105],"study":[47,106,136],"to":[49,70,107,151],"find":[50],"best":[52,160],"result":[53,158],"classification":[55],"transfer":[58,112],"learning":[59,113],"model":[60],"that":[61,174],"automatically":[62],"identify":[63],"epileptic":[65],"normal":[68],"activity,":[69],"classify":[71],"by":[74,114],"images":[76],"spectrogram":[78],"represents":[80],"percentage":[82],"energy":[84],"for":[85],"each":[86],"coefficient":[87],"continuous":[90],"wavelet.":[91],"Dataset":[92],"includes":[93],"recorded":[97],"at":[98],"monitoring":[99],"unit":[100],"epilepsy":[102],"used":[103,150],"in":[104],"presents":[108],"an":[109],"application":[110],"comparing":[115],"three":[116],"models":[117,139],"Alexnet,":[118],"visual":[119],"geometry":[120],"group":[121],"(VGG19)":[122],"residual":[124],"network":[126],"ResNet":[127,166],"different":[129,133,143],"combinations":[130],"with":[131,165,168,178],"seven":[132],"classifiers.":[134],"This":[135],"tested":[137],"reached":[141],"value":[144,194],"accuracy":[146,190],"other":[148],"metrics":[149,186],"judge":[152],"performances,":[154],"combination":[161],"has":[162],"been":[163],"achieved":[164],"combined":[167],"support":[169],"vector":[170],"machine":[171],"(SVM)":[172],"classifier":[173],"classified":[175],"high":[180],"success":[181],"rate":[182],"multiple":[184],"performance":[185],"such":[187],"97.22%":[189],"2.78%":[192],"error":[197],"rate.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-12-25T00:00:00"}