{"id":"https://openalex.org/W2964292378","doi":"https://doi.org/10.1109/jbhi.2019.2925710","title":"Multimodal Sparse Classifier for Adolescent Brain Age Prediction","display_name":"Multimodal Sparse Classifier for Adolescent Brain Age Prediction","publication_year":2019,"publication_date":"2019-06-28","ids":{"openalex":"https://openalex.org/W2964292378","doi":"https://doi.org/10.1109/jbhi.2019.2925710","mag":"2964292378","pmid":"https://pubmed.ncbi.nlm.nih.gov/31265424"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2019.2925710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2925710","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9037951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051422395","display_name":"Peyman Hosseinzadeh Kassani","orcid":"https://orcid.org/0000-0001-7736-3959"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peyman Hosseinzadeh Kassani","raw_affiliation_strings":["Department of Biomedical Engineering, Tulane University, New Orleans, USA"],"raw_orcid":"https://orcid.org/0000-0001-7736-3959","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tulane University, New Orleans, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091213912","display_name":"Alexej Gossmann","orcid":"https://orcid.org/0000-0001-9068-3877"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexej Gossmann","raw_affiliation_strings":["Tulane University, New Orleans, USA"],"raw_orcid":"https://orcid.org/0000-0001-9068-3877","affiliations":[{"raw_affiliation_string":"Tulane University, New Orleans, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339106","display_name":"Yu\u2010Ping Wang","orcid":"https://orcid.org/0000-0001-9340-5864"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["Department of Biomedical Engineering, Tulane University, New Orleans, USA"],"raw_orcid":"https://orcid.org/0000-0001-9340-5864","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tulane University, New Orleans, USA","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3015,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85608944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"2","first_page":"336","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9979000091552734,"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":0.9958999752998352,"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":0.7261307835578918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6979889869689941},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6336126327514648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5315722227096558},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.529866635799408},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.44046199321746826},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4387699365615845},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4332354962825775},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.35688281059265137},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2375444769859314},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1322256326675415},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08357343077659607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261307835578918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6979889869689941},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6336126327514648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5315722227096558},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.529866635799408},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.44046199321746826},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4387699365615845},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4332354962825775},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.35688281059265137},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2375444769859314},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1322256326675415},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08357343077659607},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2019.2925710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2925710","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:31265424","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31265424","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9037951","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9037951","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE J Biomed Health Inform","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9037951","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9037951","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE J Biomed Health Inform","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1262297082","display_name":null,"funder_award_id":"R01GM109068","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3289149856","display_name":null,"funder_award_id":"1R01EB006841","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3658323120","display_name":null,"funder_award_id":"P20GM103472","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4888031145","display_name":null,"funder_award_id":"R01MH104680","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6653621909","display_name":null,"funder_award_id":"R01MH107354","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6802879970","display_name":null,"funder_award_id":"R01EB020407","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7264054389","display_name":null,"funder_award_id":"#1539067","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1491220419","https://openalex.org/W1533301057","https://openalex.org/W1985327120","https://openalex.org/W2006860831","https://openalex.org/W2030561475","https://openalex.org/W2040647667","https://openalex.org/W2060885006","https://openalex.org/W2075529349","https://openalex.org/W2101709642","https://openalex.org/W2111072639","https://openalex.org/W2116799974","https://openalex.org/W2134603844","https://openalex.org/W2158173091","https://openalex.org/W2234781454","https://openalex.org/W2344104784","https://openalex.org/W2363249082","https://openalex.org/W2464262491","https://openalex.org/W2552208519","https://openalex.org/W2564246049","https://openalex.org/W2579617530","https://openalex.org/W2594639291","https://openalex.org/W2594998925","https://openalex.org/W2603085108","https://openalex.org/W2731948962","https://openalex.org/W2751142201","https://openalex.org/W2766141193","https://openalex.org/W2770426539","https://openalex.org/W2772054447","https://openalex.org/W2787228688","https://openalex.org/W2790733271","https://openalex.org/W2899290566","https://openalex.org/W2964341539","https://openalex.org/W3196263695","https://openalex.org/W4241874243","https://openalex.org/W4285719527","https://openalex.org/W4301621763","https://openalex.org/W6679935922","https://openalex.org/W6735682455"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W2743832667","https://openalex.org/W1584764049"],"abstract_inverted_index":{"The":[0,65,162],"study":[1,23],"of":[2,35,79,90,133,177],"healthy":[3],"brain":[4,11,80],"development":[5],"helps":[6],"to":[7,20,85,113,147,181],"better":[8],"understand":[9],"both":[10],"transformation":[12],"and":[13,47,59,99,105,157,188],"connectivity":[14,33],"patterns,":[15],"which":[16],"happen":[17],"during":[18],"childhood":[19],"adulthood.":[21],"This":[22],"presents":[24],"a":[25,53,93,107,122],"sparse":[26,108,123,165,189],"machine":[27,140],"learning":[28,109,139,191],"solution":[29],"across":[30],"whole-brain":[31],"functional":[32,42],"measures":[34],"three":[36],"datasets,":[37],"derived":[38],"from":[39,70,117],"resting":[40],"state":[41],"magnetic":[43],"resonance":[44],"imaging":[45],"(rs-fMRI)":[46],"two":[48],"task":[49,57,63],"fMRI":[50,66,118],"data":[51,67],"including":[52],"working":[54],"memory":[55],"n-back":[56],"(nb-fMRI)":[58],"an":[60,134],"emotion":[61],"identification":[62],"(em-fMRI).":[64],"are":[68],"collected":[69],"the":[71,77,127,131,149],"Philadelphia":[72],"Neurodevelopmental":[73],"Cohort":[74],"(PNC)":[75],"for":[76,137],"prediction":[78],"age":[81],"in":[82,175],"adolescents.":[83],"Due":[84],"extremely":[86],"large":[87],"variable-to-instance":[88],"ratio":[89],"PNC":[91],"data,":[92],"high-dimensional":[94],"matrix":[95],"with":[96],"several":[97,154],"irrelevant":[98],"highly":[100,173],"correlated":[101],"features":[102,116,156],"is":[103,111,145,172],"generated,":[104],"hence":[106],"approach":[110],"necessary":[112],"extract":[114],"effective":[115],"data.":[119],"We":[120],"propose":[121],"learner":[124],"based":[125,168],"on":[126,169],"residual":[128,170],"errors":[129,171],"along":[130],"estimation":[132],"inverse":[135],"problem":[136,151],"extreme":[138],"(ELM).":[141],"Our":[142],"proposed":[143,163],"method":[144],"able":[146],"overcome":[148],"overlearning":[150],"by":[152],"pruning":[153],"redundant":[155],"their":[158],"corresponding":[159],"output":[160],"weights.":[161],"multimodal":[164],"ELM":[166],"classifier":[167],"competitive":[174],"terms":[176],"classification":[178],"accuracy":[179],"compared":[180],"its":[182],"counterparts":[183],"such":[184],"as":[185],"conventional":[186],"ELM,":[187],"Bayesian":[190],"ELM.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}