{"id":"https://openalex.org/W2892070670","doi":"https://doi.org/10.1109/icassp.2018.8462493","title":"Efficient Worker Assignment in Crowdsourced Data Labeling Using Graph Signal Processing","display_name":"Efficient Worker Assignment in Crowdsourced Data Labeling Using Graph Signal Processing","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2892070670","doi":"https://doi.org/10.1109/icassp.2018.8462493","mag":"2892070670"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462493","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/A5055944131","display_name":"Javier Maroto","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javier Maroto","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040001106","display_name":"Antonio Ortega","orcid":"https://orcid.org/0000-0001-5403-0940"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Ortega","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2271","last_page":"2275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9724031686782837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597253322601318},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5346056222915649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5256306529045105},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5072862505912781},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4731004238128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4589240849018097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43987610936164856},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4345833957195282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19323521852493286},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09671229124069214}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9724031686782837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597253322601318},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5346056222915649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5256306529045105},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5072862505912781},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4731004238128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4589240849018097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43987610936164856},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4345833957195282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19323521852493286},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09671229124069214},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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:10.1109/icassp.2018.8462493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462493","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":[{"display_name":"Decent work and economic growth","score":0.550000011920929,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1540089290","https://openalex.org/W1851549099","https://openalex.org/W1999308248","https://openalex.org/W2008989859","https://openalex.org/W2067760738","https://openalex.org/W2095414057","https://openalex.org/W2098865355","https://openalex.org/W2101491865","https://openalex.org/W2106568252","https://openalex.org/W2115789358","https://openalex.org/W2125943921","https://openalex.org/W2137935418","https://openalex.org/W2140890285","https://openalex.org/W2141708418","https://openalex.org/W2540392403","https://openalex.org/W3121423774","https://openalex.org/W6674645072","https://openalex.org/W6680834967"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"The":[0],"first":[1],"step":[2],"in":[3],"solving":[4],"a":[5,13,75,127],"classification":[6,118],"problem":[7,72],"is":[8,46],"to":[9,25,62,88,126],"collect":[10],"and":[11,22],"label":[12],"sufficient":[14],"amount":[15],"of":[16,39,43,49,100,108,130],"training":[17],"data.":[18],"Given":[19],"the":[20,40,47,97,109,117],"time":[21],"cost":[23],"associated":[24],"data":[26,87],"labeling,":[27],"crowdsourcing":[28,44],"systems":[29,45],"(e.g.,":[30],"Amazon":[31],"Mechanical":[32],"Turk)":[33],"are":[34,54],"often":[35],"used.":[36],"However,":[37],"one":[38],"key":[41],"disadvantages":[42],"presence":[48],"spammers":[50],"or":[51,58],"workers":[52,90],"who":[53],"not":[55],"as":[56],"skilled":[57],"careful,":[59],"thus":[60],"leading":[61],"many":[63],"false":[64],"labels":[65],"being":[66],"assigned.":[67],"This":[68],"paper":[69],"addresses":[70],"this":[71],"by":[73,93,103],"proposing":[74],"novel":[76],"algorithm":[77],"based":[78],"on":[79],"graph":[80],"signal":[81],"sampling":[82],"theory,":[83],"which":[84],"optimally":[85],"assigns":[86],"different":[89],"for":[91],"labeling":[92,101,110],"taking":[94],"into":[95],"account":[96],"expected":[98],"quality":[99],"provided":[102],"each":[104],"worker.":[105],"Our":[106],"simulation":[107],"process":[111],"using":[112],"these":[113],"schemes":[114],"shows":[115],"that":[116],"error":[119],"can":[120],"be":[121],"reduced":[122],"significantly":[123],"with":[124],"respect":[125],"random":[128],"assignment":[129],"workers.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}