{"id":"https://openalex.org/W4388118482","doi":"https://doi.org/10.23919/eusipco58844.2023.10290015","title":"Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection","display_name":"Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388118482","doi":"https://doi.org/10.23919/eusipco58844.2023.10290015"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290015","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091801511","display_name":"Aengus Daly","orcid":null},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]},{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Aengus Daly","raw_affiliation_strings":["Munster Technological University - MTU,Department of Mathematics","Department of Electrical and Electronic Engineering & INFANT, University College Cork, Cork, Ireland","Department of Mathematics, Munster Technological University - MTU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Munster Technological University - MTU,Department of Mathematics","institution_ids":["https://openalex.org/I4210100923"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering & INFANT, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]},{"raw_affiliation_string":"Department of Mathematics, Munster Technological University - MTU","institution_ids":["https://openalex.org/I4210100923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049636753","display_name":"Gordon Lightbody","orcid":"https://orcid.org/0000-0002-8155-0826"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Gordon Lightbody","raw_affiliation_strings":["University College Cork,Department of Electrical and Electronic Engineering &#x0026; INFANT,Cork,Ireland"],"raw_orcid":"https://orcid.org/0000-0002-8155-0826","affiliations":[{"raw_affiliation_string":"University College Cork,Department of Electrical and Electronic Engineering &#x0026; INFANT,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018146969","display_name":"Andriy Temko","orcid":"https://orcid.org/0000-0001-6548-0971"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Andriy Temko","raw_affiliation_strings":["University College Cork,Department of Electrical and Electronic Engineering,Cork,Ireland","Department of Electrical and Electronic Engineering, University College Cork, Cork, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-6548-0971","affiliations":[{"raw_affiliation_string":"University College Cork,Department of Electrical and Electronic Engineering,Cork,Ireland","institution_ids":["https://openalex.org/I27577105"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5253,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97498133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1100","last_page":"1104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.800606906414032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.666321873664856},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5379965305328369},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4945518672466278},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4939480423927307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48484551906585693},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4719464182853699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45199376344680786},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43424832820892334},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4127492904663086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07388222217559814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800606906414032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.666321873664856},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5379965305328369},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4945518672466278},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4939480423927307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48484551906585693},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4719464182853699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45199376344680786},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43424832820892334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4127492904663086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07388222217559814},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290015","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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":16,"referenced_works":["https://openalex.org/W1630959083","https://openalex.org/W1821462560","https://openalex.org/W2019697492","https://openalex.org/W2113182013","https://openalex.org/W2120290837","https://openalex.org/W2194775991","https://openalex.org/W2811374795","https://openalex.org/W2918225995","https://openalex.org/W2973088264","https://openalex.org/W2979805229","https://openalex.org/W2990430870","https://openalex.org/W3013772284","https://openalex.org/W4281924169","https://openalex.org/W4294973825","https://openalex.org/W4312443924","https://openalex.org/W6638523607"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4380075502","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128","https://openalex.org/W3000197790"],"abstract_inverted_index":{"The":[0,127],"mismatch":[1],"between":[2],"training":[3],"and":[4,93,121,135,139,166],"testing":[5],"conditions":[6,34,43],"is":[7,50,66,76,101],"a":[8,21,25,39,70,87,96,109,130],"known":[9],"problem":[10],"in":[11,86,137,161],"the":[12,53,112,117,124,140,149,155],"machine":[13],"learning":[14,64],"community.":[15],"In":[16],"this":[17],"work,":[18],"we":[19],"outline":[20],"process":[22],"of":[23,33,42,46,56,111,133,142,148,157],"how":[24],"model":[26,100],"which":[27,83],"was":[28,84],"trained":[29,68],"under":[30],"one":[31],"set":[32,41],"can":[35],"be":[36],"adapted":[37],"to":[38,104],"new":[40],"by":[44,95],"means":[45],"pseudo":[47,106,119,150,162],"labeling.":[48],"This":[49,99],"shown":[51],"for":[52],"domain":[54],"area":[55],"neonatal":[57],"seizure":[58],"detection.":[59],"A":[60],"previously":[61],"developed":[62],"deep":[63],"architecture":[65],"first":[67],"on":[69,79,108,123],"publicly":[71],"available":[72],"source":[73],"dataset.":[74,126],"It":[75],"then":[77,102],"evaluated":[78],"another":[80],"target":[81,113,125],"dataset":[82],"recorded":[85],"different":[88,91,97],"center,":[89],"with":[90,116],"equipment,":[92],"annotated":[94],"expert.":[98],"used":[103],"create":[105],"labels":[107,163],"sample":[110],"dataset,":[114],"fine-tuned":[115],"created":[118],"labels,":[120],"re-evaluated":[122],"results":[128],"show":[129],"relative":[131],"improvement":[132],"13.5%":[134],"28.8%":[136],"AUC":[138],"number":[141],"seizures":[143],"detected":[144],"respectively.":[145],"Various":[146],"factors":[147],"labeling":[151],"procedure":[152],"such":[153],"as":[154],"amount":[156],"data":[158],"vs":[159],"confidence":[160],"are":[164],"analyzed":[165],"presented.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
