{"id":"https://openalex.org/W4391331216","doi":"https://doi.org/10.1109/smc53992.2023.10393901","title":"Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials","display_name":"Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331216","doi":"https://doi.org/10.1109/smc53992.2023.10393901"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10393901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10393901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5034882212","display_name":"Lisa-Marie Vortmann","orcid":"https://orcid.org/0000-0002-0601-0950"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lisa-Marie Vortmann","raw_affiliation_strings":["University of Bremen,Cognitive Systems Lab,Bremen,Germany","Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,Cognitive Systems Lab,Bremen,Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079289276","display_name":"Timo Urban","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Urban","raw_affiliation_strings":["University of Bremen,Cognitive Systems Lab,Bremen,Germany","Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,Cognitive Systems Lab,Bremen,Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010913778","display_name":"Felix Putze","orcid":"https://orcid.org/0000-0001-5203-8797"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Putze","raw_affiliation_strings":["University of Bremen,Cognitive Systems Lab,Bremen,Germany","Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,Cognitive Systems Lab,Bremen,Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22315217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4770","last_page":"4777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237804532051086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6126475930213928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5818502902984619},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5546398162841797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237804532051086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126475930213928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5818502902984619},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5546398162841797}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10393901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10393901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":31,"referenced_works":["https://openalex.org/W1488979667","https://openalex.org/W1985261475","https://openalex.org/W2125814313","https://openalex.org/W2131251829","https://openalex.org/W2142308810","https://openalex.org/W2157289187","https://openalex.org/W2169918686","https://openalex.org/W2536935255","https://openalex.org/W2741907166","https://openalex.org/W2774894600","https://openalex.org/W2788388592","https://openalex.org/W2791283887","https://openalex.org/W2804905867","https://openalex.org/W2898324619","https://openalex.org/W2913606428","https://openalex.org/W2913892853","https://openalex.org/W2914529874","https://openalex.org/W2944222125","https://openalex.org/W2946013731","https://openalex.org/W2975049979","https://openalex.org/W2979621265","https://openalex.org/W2979621981","https://openalex.org/W2990138404","https://openalex.org/W3019840411","https://openalex.org/W3082381283","https://openalex.org/W3165565390","https://openalex.org/W3168724868","https://openalex.org/W3175596362","https://openalex.org/W4247748606","https://openalex.org/W4311663760","https://openalex.org/W4322772407"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"The":[0,142],"detection":[1,192],"of":[2,18,24,36,45,63,150,159,169],"an":[3,77],"individual's":[4],"attentional":[5,111,190],"state":[6,112,191],"via":[7],"a":[8,16,99,106,206],"Brain-Computer":[9],"Interface":[10],"(BCI)":[11],"holds":[12],"significant":[13,166],"promise,":[14],"offering":[15],"multitude":[17],"possibilities,":[19],"including":[20],"enhancing":[21],"the":[22,34,42,61,119,132,195],"usability":[23],"applications":[25],"and":[26,41,129,153,161],"enabling":[27],"timely":[28],"alerts":[29],"in":[30,113,194],"hazardous":[31],"situations.":[32],"However,":[33],"variability":[35],"EEG":[37],"data":[38,67,84,125,209],"between":[39],"individuals":[40],"dynamic":[43],"nature":[44],"recordings":[46],"pose":[47],"practical":[48,91],"challenges":[49],"for":[50,80,109,121,135,189],"achieving":[51],"reliable":[52],"results":[53,184],"with":[54,180],"BCIs.":[55],"Thus,":[56],"conventional":[57],"methods":[58],"often":[59],"require":[60,205],"collection":[62],"each":[64],"person's":[65],"training":[66,83,124,208],"prior":[68,126],"to":[69,75,89,127,155],"usage,":[70],"which":[71],"is":[72],"then":[73],"used":[74,154],"train":[76],"individual":[78,123],"model":[79,108],"detection.":[81],"Such":[82],"collection,":[85],"makes":[86],"it":[87],"difficult":[88],"achieve":[90],"use.":[92],"To":[93],"overcome":[94],"this":[95],"challenge,":[96],"we":[97],"propose":[98],"self-improving":[100,200],"online":[101],"learning":[102],"system":[103,143],"that":[104,186,202],"personalizes":[105],"person-independent":[107],"detecting":[110],"real-time":[114],"during":[115],"runtime.":[116],"This":[117],"eliminates":[118],"need":[120],"collecting":[122],"usage":[128],"instead":[130],"generates":[131],"necessary":[133],"labels":[134],"adaptation":[136,160],"using":[137],"automatically":[138],"detected":[139],"error-related":[140],"potentials.":[141],"was":[144,171],"developed":[145],"based":[146,177],"on":[147,178],"pre-trained":[148],"models":[149,188],"two":[151],"classifiers":[152,201],"evaluate":[156],"different":[157],"strategies":[158],"label":[162],"generation.":[163],"A":[164],"statistically":[165],"accuracy":[167],"improvement":[168],"0.088":[170],"achieved":[172],"across":[173],"all":[174],"available":[175],"subjects,":[176],"simulations":[179],"pre-recorded":[181],"data.":[182],"These":[183],"suggest":[185],"person-dependent":[187],"could":[193],"future":[196],"be":[197],"substituted":[198],"by":[199],"do":[203],"not":[204],"dedicated":[207],"collection.":[210]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
