{"id":"https://openalex.org/W2891097454","doi":"https://doi.org/10.1109/icassp.2018.8461646","title":"Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis","display_name":"Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891097454","doi":"https://doi.org/10.1109/icassp.2018.8461646","mag":"2891097454"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5079732715","display_name":"Qunfang Long","orcid":"https://orcid.org/0000-0002-6323-6366"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qunfang Long","raw_affiliation_strings":["Dept. of CSEE, University of Maryland, Baltimore County, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086319661","display_name":"Chunying Jia","orcid":"https://orcid.org/0000-0002-7941-0605"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunying Jia","raw_affiliation_strings":["Dept. of CSEE, University of Maryland, Baltimore County, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006915006","display_name":"Zois Boukouvalas","orcid":"https://orcid.org/0000-0002-5131-1891"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zois Boukouvalas","raw_affiliation_strings":["Dept. of ENME, University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ENME, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040741515","display_name":"Ben Gabrielson","orcid":"https://orcid.org/0000-0001-9217-6641"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Gabrielson","raw_affiliation_strings":["Dept. of CSEE, University of Maryland, Baltimore County, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083300115","display_name":"Darren K. Emge","orcid":"https://orcid.org/0000-0003-0038-9602"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Darren Emge","raw_affiliation_strings":["Dept. of CSEE, University of Maryland, Baltimore County, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["Dept. of CSEE, University of Maryland, Baltimore County, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, MD","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1697,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.89286172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2581","last_page":"2585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.996999979019165,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.995199978351593,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.8025206327438354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188130021095276},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.653382420539856},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.592294454574585},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5720285773277283},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5611100792884827},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5184006690979004},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4925568699836731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47699764370918274},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45318007469177246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4356986880302429},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4136987328529358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3804122805595398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2295912206172943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18128171563148499}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8025206327438354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188130021095276},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.653382420539856},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.592294454574585},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5720285773277283},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5611100792884827},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5184006690979004},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4925568699836731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47699764370918274},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45318007469177246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4356986880302429},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4136987328529358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3804122805595398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2295912206172943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18128171563148499},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1513100438","https://openalex.org/W1755563775","https://openalex.org/W1991840148","https://openalex.org/W2012702426","https://openalex.org/W2023095826","https://openalex.org/W2025472057","https://openalex.org/W2045732268","https://openalex.org/W2074654015","https://openalex.org/W2080233806","https://openalex.org/W2081825416","https://openalex.org/W2099567248","https://openalex.org/W2107360535","https://openalex.org/W2108384452","https://openalex.org/W2111902267","https://openalex.org/W2128495200","https://openalex.org/W2128967371","https://openalex.org/W2136284422","https://openalex.org/W2143132653","https://openalex.org/W2156779951","https://openalex.org/W2171746332","https://openalex.org/W2300712633","https://openalex.org/W2541843830","https://openalex.org/W2735317774","https://openalex.org/W2786204509","https://openalex.org/W2962727089","https://openalex.org/W4256431090","https://openalex.org/W6728841835","https://openalex.org/W6741030139"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2379533788","https://openalex.org/W4306674287","https://openalex.org/W1791688437","https://openalex.org/W2087721185","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4362637710","https://openalex.org/W3095983064","https://openalex.org/W2385132419"],"abstract_inverted_index":{"Independent":[0],"component":[1],"analysis":[2,14],"(ICA)":[3],"has":[4,22],"found":[5],"wide":[6],"application":[7],"in":[8,71],"a":[9,24,31,65,115],"variety":[10],"of":[11,15,46,49,53,56,125],"areas,":[12],"and":[13,36,94,105,131],"functional":[16],"magnetic":[17],"resonance":[18],"imaging":[19],"(fMRI)":[20],"data":[21],"been":[23],"particularly":[25],"fruitful":[26],"one.":[27],"Maximum":[28],"likelihood":[29],"provides":[30],"natural":[32],"formuiation":[33],"for":[34,59,136,145],"ICA":[35],"allows":[37,58],"one":[38],"to":[39,68,121,141],"take":[40],"into":[41,88],"account":[42],"multiple":[43,54],"statistical":[44,110],"properties":[45],"the":[47,72,89,102,109,123,146],"data-forms":[48],"diversity.":[50],"While":[51],"use":[52],"types":[55],"diversity":[57],"additional":[60],"flexibility,":[61],"it":[62],"comes":[63],"at":[64],"cost,":[66],"leading":[67],"high":[69],"variability":[70],"solution":[73],"space.":[74],"In":[75],"this":[76],"paper,":[77],"using":[78],"simulated":[79],"as":[80,82,108],"well":[81],"fMRI-like":[83],"data,":[84],"we":[85,113],"provide":[86],"insight":[87],"trade-offs":[90],"between":[91],"estimation":[92],"accuracy":[93],"algorithmic":[95],"consistency":[96,124],"with":[97],"or":[98],"without":[99],"deviations":[100],"from":[101],"assumed":[103],"model":[104],"assumptions":[106],"such":[107],"independence.":[111],"Additionally,":[112],"propose":[114],"new":[116],"metric,":[117],"cross":[118],"inter-symbol":[119],"interference,":[120],"quantify":[122],"an":[126],"algorithm":[127],"across":[128],"different":[129],"runs,":[130],"demonstrate":[132],"its":[133],"desirable":[134],"performance":[135],"selecting":[137],"consistent":[138],"run":[139],"compared":[140],"other":[142],"metrics":[143],"used":[144],"task.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
