{"id":"https://openalex.org/W3042122387","doi":"https://doi.org/10.1007/s10479-020-03921-0","title":"Improving P300 Speller performance by means of optimization and machine learning","display_name":"Improving P300 Speller performance by means of optimization and machine learning","publication_year":2021,"publication_date":"2021-01-20","ids":{"openalex":"https://openalex.org/W3042122387","doi":"https://doi.org/10.1007/s10479-020-03921-0","mag":"3042122387"},"language":"en","primary_location":{"id":"doi:10.1007/s10479-020-03921-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-020-03921-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-020-03921-0.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10479-020-03921-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055955632","display_name":"Luigi Bianchi","orcid":"https://orcid.org/0000-0001-8724-9092"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Bianchi","raw_affiliation_strings":["Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","University of Rome Tor Vergata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"University of Rome Tor Vergata","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083926565","display_name":"Chiara Liti","orcid":null},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Liti","raw_affiliation_strings":["Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","University of Rome Tor Vergata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"University of Rome Tor Vergata","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030824254","display_name":"Giampaolo Liuzzi","orcid":"https://orcid.org/0000-0002-4063-8370"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giampaolo Liuzzi","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","Sapienza University of Rome"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Sapienza University of Rome","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068357817","display_name":"Veronica Piccialli","orcid":"https://orcid.org/0000-0002-3357-9608"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Veronica Piccialli","raw_affiliation_strings":["Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","University of Rome Tor Vergata"],"raw_orcid":"https://orcid.org/0000-0002-3357-9608","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"University of Rome Tor Vergata","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009029976","display_name":"Cecilia Salvatore","orcid":"https://orcid.org/0000-0003-3758-5252"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cecilia Salvatore","raw_affiliation_strings":["Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","Dept. of Civil Eng. & Comput. Sci., Univ. of Rome \u201cTor Vergata\u201d, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"Dept. of Civil Eng. & Comput. Sci., Univ. of Rome \u201cTor Vergata\u201d, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068357817"],"corresponding_institution_ids":["https://openalex.org/I116067653"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00331683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"312","issue":"2","first_page":"1221","last_page":"1259"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7670273780822754},{"id":"https://openalex.org/keywords/interrupt","display_name":"Interrupt","score":0.7381981015205383},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7348589897155762},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5467972159385681},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5239541530609131},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5189487934112549},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5096914768218994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4983634948730469},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.495369553565979},{"id":"https://openalex.org/keywords/information-transfer","display_name":"Information transfer","score":0.45256713032722473},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4156970977783203},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4002339243888855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39938193559646606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3796755075454712},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10818091034889221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670273780822754},{"id":"https://openalex.org/C41661131","wikidata":"https://www.wikidata.org/wiki/Q220764","display_name":"Interrupt","level":3,"score":0.7381981015205383},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7348589897155762},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5467972159385681},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5239541530609131},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5189487934112549},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5096914768218994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4983634948730469},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.495369553565979},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.45256713032722473},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4156970977783203},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4002339243888855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39938193559646606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3796755075454712},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10818091034889221},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s10479-020-03921-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-020-03921-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-020-03921-0.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2007.06411","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.06411","pdf_url":"https://arxiv.org/pdf/2007.06411","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3042122387","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.06411.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:RePEc:spr:annopr:v:312:y:2022:i:2:d:10.1007_s10479-020-03921-0","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10479-020-03921-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1475684","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1475684","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2007.06411","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2007.06411","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1007/s10479-020-03921-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-020-03921-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-020-03921-0.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324579","display_name":"Universit\u00e0 degli Studi di Roma Tor Vergata","ror":"https://ror.org/02p77k626"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3042122387.pdf","grobid_xml":"https://content.openalex.org/works/W3042122387.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W53172824","https://openalex.org/W611103097","https://openalex.org/W1602228649","https://openalex.org/W1965463467","https://openalex.org/W1970891276","https://openalex.org/W1975226595","https://openalex.org/W1980381399","https://openalex.org/W2001695150","https://openalex.org/W2008876648","https://openalex.org/W2038314717","https://openalex.org/W2038642630","https://openalex.org/W2047539745","https://openalex.org/W2056180919","https://openalex.org/W2056200835","https://openalex.org/W2064059030","https://openalex.org/W2070122463","https://openalex.org/W2089594124","https://openalex.org/W2098100592","https://openalex.org/W2098735891","https://openalex.org/W2102627064","https://openalex.org/W2118585731","https://openalex.org/W2128447093","https://openalex.org/W2129203136","https://openalex.org/W2135400163","https://openalex.org/W2143660835","https://openalex.org/W2148475805","https://openalex.org/W2150825261","https://openalex.org/W2165966284","https://openalex.org/W2170821486","https://openalex.org/W2170968639","https://openalex.org/W2498264865","https://openalex.org/W2502759836","https://openalex.org/W2554360913","https://openalex.org/W2604746653","https://openalex.org/W2770450799","https://openalex.org/W2770593304","https://openalex.org/W2788945872","https://openalex.org/W2794345050","https://openalex.org/W2796557587","https://openalex.org/W2804008190","https://openalex.org/W2804474632","https://openalex.org/W2910175919","https://openalex.org/W2945746993","https://openalex.org/W2949555179","https://openalex.org/W2951485060","https://openalex.org/W3008147468","https://openalex.org/W3082877336","https://openalex.org/W4235011515","https://openalex.org/W6677656871","https://openalex.org/W6680908784"],"related_works":["https://openalex.org/W2770593304","https://openalex.org/W2550492725","https://openalex.org/W2071985051","https://openalex.org/W3114588086","https://openalex.org/W127639016","https://openalex.org/W2744312727","https://openalex.org/W2056083531","https://openalex.org/W2952007964","https://openalex.org/W2016056969","https://openalex.org/W1744998535","https://openalex.org/W3013950542","https://openalex.org/W2949363891","https://openalex.org/W2180524348","https://openalex.org/W2724543647","https://openalex.org/W2508663394","https://openalex.org/W3168724868","https://openalex.org/W3040882137","https://openalex.org/W260090196","https://openalex.org/W3098663814","https://openalex.org/W2604670133"],"abstract_inverted_index":{"Abstract":[0],"Brain-Computer":[1],"Interfaces":[2],"(BCIs)":[3],"are":[4,117,141],"systems":[5],"allowing":[6],"people":[7],"to":[8,78,127,194,208,219,274,282],"interact":[9],"with":[10,46],"the":[11,14,21,44,53,57,64,69,87,95,118,128,133,148,155,160,167,170,173,192,197,210,221,276],"environment":[12],"bypassing":[13],"natural":[15],"neuromuscular":[16],"and":[17,33,82,112,144,231,251,260],"hormonal":[18],"outputs":[19],"of":[20,89,132,157,175,249],"peripheral":[22],"nervous":[23],"system":[24],"(PNS).":[25],"These":[26],"interfaces":[27],"record":[28],"a":[29,90,101,201,237,257,267],"user\u2019s":[30],"brain":[31,70],"activity":[32],"translate":[34],"it":[35,163],"into":[36],"control":[37],"commands":[38],"for":[39,123],"external":[40],"devices,":[41],"thus":[42],"providing":[43],"PNS":[45],"additional":[47],"artificial":[48],"outputs.":[49],"In":[50,169,213],"this":[51,214],"framework,":[52],"BCIs":[54,227],"based":[55,226],"on":[56,285],"P300":[58,91,225],"Event-Related":[59],"Potentials":[60],"(ERP),":[61],"which":[62],"represent":[63],"electrical":[65],"responses":[66],"recorded":[67],"from":[68],"after":[71],"specific":[72],"events":[73],"or":[74,86],"stimuli,":[75],"have":[76,188],"proven":[77],"be":[79,283],"particularly":[80],"successful":[81],"robust.":[83],"The":[84],"presence":[85],"absence":[88],"evoked":[92],"potential":[93],"within":[94],"EEG":[96,134],"features":[97],"is":[98,204],"determined":[99],"through":[100],"classification":[102,222,245],"algorithm.":[103],"Linear":[104],"classifiers":[105],"such":[106],"as":[107],"stepwise":[108],"linear":[109],"discriminant":[110,121],"analysis":[111],"support":[113],"vector":[114],"machine":[115,232],"(SVM)":[116],"most":[119],"used":[120],"algorithms":[122],"ERPs\u2019":[124],"classification.":[125],"Due":[126],"low":[129],"signal-to-noise":[130],"ratio":[131],"signals,":[135],"multiple":[136],"stimulation":[137,198],"sequences":[138],"(a.k.a.":[139],"iterations)":[140],"carried":[142],"out":[143],"then":[145],"averaged":[146],"before":[147],"signals":[149],"being":[150],"classified.":[151],"However,":[152],"while":[153],"augmenting":[154],"number":[156,174],"iterations":[158,176],"improves":[159],"Signal-to-Noise":[161],"Ratio,":[162],"also":[164],"slows":[165],"down":[166],"process.":[168,278],"early":[171,185,261],"studies,":[172],"was":[177],"fixed":[178],"(no":[179],"stopping":[180,186,259,262],"environment),":[181],"but":[182],"recently":[183],"several":[184,286],"strategies":[187],"been":[189],"proposed":[190],"in":[191,206,224,247,256],"literature":[193],"dynamically":[195],"interrupt":[196],"sequence":[199],"when":[200],"certain":[202],"criterion":[203],"met":[205],"order":[207],"enhance":[209],"communication":[211],"rate.":[212],"work,":[215],"we":[216,235,265],"explore":[217],"how":[218],"improve":[220],"performances":[223,246],"by":[228],"combining":[229],"optimization":[230],"learning.":[233],"First,":[234],"propose":[236,266],"new":[238,268],"decision":[239],"function":[240],"that":[241,272],"aims":[242,273],"at":[243],"improving":[244],"terms":[248],"accuracy":[250],"Information":[252],"Transfer":[253],"Rate":[254],"both":[255],"no":[258],"environment.":[263],"Then,":[264],"SVM":[269],"training":[270],"problem":[271],"facilitate":[275],"target-detection":[277],"Our":[279],"approach":[280],"proves":[281],"effective":[284],"publicly":[287],"available":[288],"datasets.":[289]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2022-07-26T00:00:00"}
