{"id":"https://openalex.org/W4386463594","doi":"https://doi.org/10.1145/3615592.3616853","title":"Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport","display_name":"Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386463594","doi":"https://doi.org/10.1145/3615592.3616853"},"language":"en","primary_location":{"id":"doi:10.1145/3615592.3616853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615592.3616853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615592.3616853","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3615592.3616853","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018814156","display_name":"Ekansh Gupta","orcid":"https://orcid.org/0000-0002-5341-814X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ekansh Gupta","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5341-814X","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029242179","display_name":"Cheng-Yeh Chen","orcid":"https://orcid.org/0000-0003-4520-2960"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Yeh Chen","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4520-2960","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020545922","display_name":"Raghupathy Sivakumar","orcid":"https://orcid.org/0000-0002-0012-114X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghupathy Sivakumar","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0012-114X","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7877853512763977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838194966316223},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.704540491104126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5440444946289062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5069472789764404},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4945819079875946},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46377721428871155},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.41657644510269165},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4119182825088501},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1985616385936737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09327757358551025}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7877853512763977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838194966316223},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.704540491104126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440444946289062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5069472789764404},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4945819079875946},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46377721428871155},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.41657644510269165},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4119182825088501},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1985616385936737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09327757358551025},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615592.3616853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615592.3616853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615592.3616853","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3615592.3616853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615592.3616853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615592.3616853","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386463594.pdf","grobid_xml":"https://content.openalex.org/works/W4386463594.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W1996798488","https://openalex.org/W2096597330","https://openalex.org/W2104063964","https://openalex.org/W2122825543","https://openalex.org/W2154626880","https://openalex.org/W2169067611","https://openalex.org/W2602279467","https://openalex.org/W2741907166","https://openalex.org/W2746829572","https://openalex.org/W2951654406","https://openalex.org/W3031487199","https://openalex.org/W3044653572","https://openalex.org/W3045677590","https://openalex.org/W3046207364","https://openalex.org/W3134832814","https://openalex.org/W3173950481","https://openalex.org/W3210077660","https://openalex.org/W4200084300","https://openalex.org/W4233762729","https://openalex.org/W4235310157","https://openalex.org/W4283455026","https://openalex.org/W4312578868","https://openalex.org/W6636442617"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W2889342546","https://openalex.org/W1913385466","https://openalex.org/W2015048155","https://openalex.org/W1969223073","https://openalex.org/W2985746494","https://openalex.org/W4206042385"],"abstract_inverted_index":{"Brain-computer":[0],"interfaces":[1],"(BCIs)":[2],"have":[3],"surfaced":[4],"as":[5,87],"a":[6,75,106,112,121,133,170],"powerful":[7],"modality":[8],"in":[9,56,63,80,156,172],"human-machine":[10],"interaction":[11],"and":[12,90,128,131],"wearable":[13],"technology":[14],"with":[15],"powered":[16],"futuristic":[17],"applications":[18],"like":[19],"virtual":[20],"reality,":[21],"robot":[22],"control,":[23],"gaming,":[24],"etc.":[25],"Using":[26],"BCIs,":[27],"the":[28,38,81,99,117,138],"brain's":[29],"intent":[30],"can":[31],"be":[32],"harnessed":[33],"without":[34],"explicit":[35],"communication.":[36],"Despite":[37],"vast":[39],"promise,":[40],"systems":[41],"designed":[42],"for":[43,124,164],"BCIs":[44],"generalize":[45],"poorly":[46],"to":[47,53,74,102,136,169],"new":[48],"or":[49],"unseen":[50],"individuals":[51],"due":[52],"high":[54,129],"variability":[55],"brain":[57,114],"signals":[58,79],"among":[59],"different":[60],"subjects,":[61],"resulting":[62],"long":[64],"retraining/calibration":[65],"sessions.":[66],"This":[67],"lack":[68],"of":[69,78,178],"generalization":[70,104,166],"is":[71],"typically":[72],"attributed":[73],"covariate":[76,140],"shift":[77,141],"probability":[82],"space,":[83],"which":[84,167],"manifests":[85],"itself":[86],"disparate":[88],"marginal":[89],"class":[91],"conditional":[92],"distributions.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"overview":[98],"factors":[100],"contributing":[101],"poor":[103],"on":[105,151],"more":[107],"granular":[108],"level":[109],"by":[110,175],"analyzing":[111],"specific":[113],"signal":[115,122],"called":[116],"Error":[118],"Potential":[119],"(ErrP),":[120],"well-known":[123],"its":[125],"noisy":[126],"characteristics":[127],"variability,":[130],"propose":[132],"novel":[134],"algorithm":[135],"mitigate":[137],"associated":[139],"using":[142],"partial":[143],"target-aware":[144],"optimal":[145],"transport.":[146],"We":[147],"demonstrate":[148],"our":[149,157],"method":[150,160],"an":[152,176],"ErrP":[153],"dataset":[154],"collected":[155],"lab.":[158],"Our":[159],"outperforms":[161],"state-of-the-art":[162],"models":[163],"cross-user":[165],"translates":[168],"reduction":[171],"calibration":[173],"time":[174],"order":[177],"magnitude.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}