{"id":"https://openalex.org/W4206916277","doi":"https://doi.org/10.1109/ssci50451.2021.9660148","title":"Environment Sound Classification (ESC) with Choquet Integral Fusion","display_name":"Environment Sound Classification (ESC) with Choquet Integral Fusion","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206916277","doi":"https://doi.org/10.1109/ssci50451.2021.9660148"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660148","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","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/A5100449864","display_name":"Yilin Wang","orcid":"https://orcid.org/0000-0003-4031-8753"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yilin Wang","raw_affiliation_strings":["Michigan Technological University, Houghton, USA"],"affiliations":[{"raw_affiliation_string":"Michigan Technological University, Houghton, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060923133","display_name":"Timothy C. Havens","orcid":"https://orcid.org/0000-0002-5746-3749"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy C. Havens","raw_affiliation_strings":["Michigan Technological University, Houghton, USA"],"affiliations":[{"raw_affiliation_string":"Michigan Technological University, Houghton, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102838005","display_name":"Andrew Barnard","orcid":"https://orcid.org/0000-0003-3276-8113"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Barnard","raw_affiliation_strings":["Michigan Technological University, Houghton, USA"],"affiliations":[{"raw_affiliation_string":"Michigan Technological University, Houghton, USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100449864"],"corresponding_institution_ids":["https://openalex.org/I11957088"],"apc_list":null,"apc_paid":null,"fwci":0.1721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4333782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9894999861717224,"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/T11220","display_name":"Water Systems and Optimization","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/choquet-integral","display_name":"Choquet integral","score":0.7665981650352478},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6420716047286987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6098160147666931},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5812921524047852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5592589974403381},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5151997208595276},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48344454169273376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47211754322052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46034765243530273},{"id":"https://openalex.org/keywords/fuzzy-measure-theory","display_name":"Fuzzy measure theory","score":0.44445785880088806},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.44084417819976807},{"id":"https://openalex.org/keywords/possibility-theory","display_name":"Possibility theory","score":0.4360434114933014},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4225690960884094},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.37477752566337585},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.24712496995925903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10251817107200623}],"concepts":[{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.7665981650352478},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6420716047286987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6098160147666931},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5812921524047852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5592589974403381},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5151997208595276},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48344454169273376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47211754322052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46034765243530273},{"id":"https://openalex.org/C100516043","wikidata":"https://www.wikidata.org/wiki/Q4455138","display_name":"Fuzzy measure theory","level":5,"score":0.44445785880088806},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.44084417819976807},{"id":"https://openalex.org/C137912672","wikidata":"https://www.wikidata.org/wiki/Q1967096","display_name":"Possibility theory","level":4,"score":0.4360434114933014},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4225690960884094},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.37477752566337585},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.24712496995925903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10251817107200623},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660148","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-35984","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/16683","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2903711083","display_name":null,"funder_award_id":"#N00014-20-1-2793","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320307103","display_name":"Ford Motor Company","ror":"https://ror.org/00g2tkw06"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1504032994","https://openalex.org/W1637570796","https://openalex.org/W1972567154","https://openalex.org/W1975929202","https://openalex.org/W2037533030","https://openalex.org/W2038484192","https://openalex.org/W2052666245","https://openalex.org/W2059020775","https://openalex.org/W2108598243","https://openalex.org/W2115998893","https://openalex.org/W2125324924","https://openalex.org/W2148154194","https://openalex.org/W2151554678","https://openalex.org/W2172928631","https://openalex.org/W2559671899","https://openalex.org/W2619697695","https://openalex.org/W2745357708","https://openalex.org/W2896457183","https://openalex.org/W2901908104","https://openalex.org/W2937047963","https://openalex.org/W2962793908","https://openalex.org/W3042688285","https://openalex.org/W3082397415","https://openalex.org/W3094502228","https://openalex.org/W3158553615","https://openalex.org/W3196974791","https://openalex.org/W4229701427","https://openalex.org/W4241005218","https://openalex.org/W4299802238","https://openalex.org/W4385245566","https://openalex.org/W6618372016","https://openalex.org/W6630250213","https://openalex.org/W6636885848","https://openalex.org/W6643326691","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6756915875","https://openalex.org/W6769955919","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2031391348","https://openalex.org/W2135117476","https://openalex.org/W2352838457","https://openalex.org/W2379272961","https://openalex.org/W2022701698","https://openalex.org/W3205429492","https://openalex.org/W4384693625","https://openalex.org/W2786861906","https://openalex.org/W1959098349","https://openalex.org/W2091434211"],"abstract_inverted_index":{"The":[0,56,138],"Choquet":[1],"integral":[2],"(ChI)":[3],"plays":[4],"an":[5,75],"important":[6],"role":[7],"in":[8,144],"the":[9,18,22,60,83,87,92,104,135],"area":[10],"of":[11,17,21,28,47,65,68,106,112],"aggregating":[12],"sensors":[13],"and":[14,124,131],"information.":[15],"One":[16],"defining":[19],"advantages":[20],"ChI,":[23],"compared":[24],"to":[25,73,103],"other":[26],"types":[27],"aggregations,":[29],"is":[30,49],"that":[31],"it":[32,43],"takes":[33],"into":[34],"account":[35],"how":[36],"variables":[37],"interact":[38],"with":[39],"one":[40],"another,":[41],"which":[42],"does":[44],"by":[45],"means":[46],"what":[48],"called":[50],"a":[51],"capacity":[52],"or":[53,63],"fuzzy":[54,57,84],"measure.":[55],"measure":[58,85],"captures":[59],"relative":[61],"value,":[62],"worth,":[64],"different":[66],"subsets":[67],"information":[69],"sources":[70],"taken":[71],"together":[72],"make":[74],"inference.":[76],"For":[77],"data-driven":[78,99],"problems,":[79],"i.e.,":[80],"machine":[81],"learning,":[82],"comprises":[86],"parameters":[88],"learned":[89],"for":[90,146],"using":[91],"ChI.":[93],"In":[94],"this":[95],"work,":[96],"we":[97],"apply":[98],"ChI":[100,139],"decision-level":[101],"fusion":[102,140],"problem":[105],"classifying":[107],"sound":[108,116],"events":[109],"from":[110],"clips":[111],"audio.":[113],"Three":[114],"benchmark":[115],"classification":[117,128],"data":[118],"sets":[119],"are":[120],"utilized:":[121],"ESC-10,":[122],"ESC-50,":[123],"UrbanSound8K.":[125],"Six":[126],"leading":[127],"algorithms-deep":[129],"networks":[130],"transformers-are":[132],"used":[133],"as":[134],"decision":[136],"sources.":[137],"shows":[141],"significant":[142],"gains":[143],"accuracy":[145],"all":[147],"three":[148],"benchmarks.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
