{"id":"https://openalex.org/W4400315238","doi":"https://doi.org/10.1109/isivc61350.2024.10577781","title":"Investigation of Attention Based Convolutional Neural Network for Motor Imagery Classification","display_name":"Investigation of Attention Based Convolutional Neural Network for Motor Imagery Classification","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4400315238","doi":"https://doi.org/10.1109/isivc61350.2024.10577781"},"language":"en","primary_location":{"id":"doi:10.1109/isivc61350.2024.10577781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018220671","display_name":"Mouad Riyad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Mouad Riyad","raw_affiliation_strings":["Faculty of Sciences and Technology,Departement of Computer Science,Mohammedia,Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Technology,Departement of Computer Science,Mohammedia,Morocco","institution_ids":["https://openalex.org/I4210121980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032292618","display_name":"Abdellah Adib","orcid":"https://orcid.org/0000-0002-0670-7221"},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellah Adib","raw_affiliation_strings":["Faculty of Sciences and Technology,Departement of Computer Science,Mohammedia,Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Technology,Departement of Computer Science,Mohammedia,Morocco","institution_ids":["https://openalex.org/I4210121980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018220671"],"corresponding_institution_ids":["https://openalex.org/I4210121980"],"apc_list":null,"apc_paid":null,"fwci":0.196,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46074643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.7250000238418579,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.7250000238418579,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.647599995136261,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7809635996818542},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7589098215103149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746179461479187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5667926073074341},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.432207316160202},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.29121190309524536},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.2842530608177185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1539784073829651},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12671750783920288},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12091323733329773}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7809635996818542},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7589098215103149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746179461479187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5667926073074341},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.432207316160202},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.29121190309524536},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2842530608177185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1539784073829651},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12671750783920288},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12091323733329773}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isivc61350.2024.10577781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2119163516","https://openalex.org/W2494133495","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2919115771","https://openalex.org/W2954214015","https://openalex.org/W2963420686","https://openalex.org/W2997639969","https://openalex.org/W3035049382","https://openalex.org/W3102455230","https://openalex.org/W3165639284","https://openalex.org/W3181284369","https://openalex.org/W3202032803","https://openalex.org/W4220780312","https://openalex.org/W4285124216","https://openalex.org/W4289752563","https://openalex.org/W4323913936","https://openalex.org/W4383815027","https://openalex.org/W4385245566","https://openalex.org/W4386175841","https://openalex.org/W4387146055","https://openalex.org/W6739901393","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2041547723","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Attention-based":[0],"blocks":[1,26,42,68],"have":[2],"conquered":[3],"the":[4,12,24,48,103,114,136,141,150,155,161,164],"realm":[5],"of":[6,14,40,102,157,163],"deep":[7],"learning":[8],"since":[9],"they":[10],"advanced":[11],"state-of-the-art":[13],"pattern":[15],"recognition.":[16],"They":[17],"can":[18,139,153],"extract":[19],"features":[20],"more":[21],"efficiently":[22],"than":[23,56,132],"standard":[25],"by":[27],"assigning":[28],"attention":[29,137,151],"scores":[30],"to":[31,46,65],"features.":[32],"Brain-Computer":[33],"Interface":[34],"(BCI)":[35],"detection":[36],"systems":[37],"adopted":[38],"many":[39,44,51,144],"those":[41],"in":[43,143],"architectures":[45],"enhance":[47],"performance.":[49],"But,":[50],"focus":[52],"on":[53,113],"one":[54,108],"rather":[55],"testing":[57],"many,":[58],"despite":[59],"their":[60],"diversity.":[61],"This":[62],"paper":[63],"proposes":[64],"study":[66],"different":[67],"like":[69,93],"Squeeze":[70,75],"and":[71,76,84,106,134],"Excitation":[72,77],"(SE),":[73],"efficient":[74],"(eSE),":[78],"Convolutional":[79],"Block":[80],"Attention":[81],"Module":[82],"(CBAM),":[83],"a":[85,94,107,120,158],"modified":[86],"CBAM.":[87],"Also,":[88,146],"we":[89,147],"propose":[90],"two":[91],"architectures,":[92],"multi-branch":[95],"architecture":[96],"that":[97,127,135,149],"fed":[98],"from":[99],"multi-scale":[100],"versions":[101],"input":[104],"signal,":[105],"pipeline":[109],"architecture.":[110],"We":[111],"tested":[112],"BCI":[115],"competition":[116],"IV":[117],"dataset":[118],"2b,":[119],"Motor":[121],"Imagery":[122],"Dataset.":[123],"The":[124],"results":[125],"demonstrate":[126],"our":[128],"propositions":[129],"work":[130],"better":[131],"EEGNet":[133],"modules":[138],"improve":[140],"performance":[142,156],"configurations.":[145],"established":[148],"module":[152],"raise":[154],"class":[159],"at":[160],"expense":[162],"other.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
