{"id":"https://openalex.org/W3021910945","doi":"https://doi.org/10.1109/lsp.2020.3006378","title":"Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking","display_name":"Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3021910945","doi":"https://doi.org/10.1109/lsp.2020.3006378","mag":"3021910945"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3006378","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3006378","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/8966529/09130823.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/97/8966529/09130823.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025025113","display_name":"Eduardo Fonseca","orcid":"https://orcid.org/0000-0001-9872-3917"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Eduardo Fonseca","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain","Google Research, New York, NY 10011 USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0001-9872-3917","affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014428891","display_name":"Shawn Hershey","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Shawn Hershey","raw_affiliation_strings":["Google Research, New York, USA","Google Research, New York, NY 10011 USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059222327","display_name":"Manoj Plakal","orcid":"https://orcid.org/0000-0001-6759-3873"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Manoj Plakal","raw_affiliation_strings":["Google Research, New York, USA","Google Research, New York, NY 10011 USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6759-3873","affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055458377","display_name":"Daniel P. W. Ellis","orcid":"https://orcid.org/0000-0002-5076-4311"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Daniel P. W. Ellis","raw_affiliation_strings":["Google Research, New York, USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","Google Research, New York, NY 10011 USA"],"raw_orcid":"https://orcid.org/0000-0002-5076-4311","affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103622427","display_name":"Aren Jansen","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Aren Jansen","raw_affiliation_strings":["Google Research, New York, USA","Google Research, New York, NY 10011 USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110435728","display_name":"Robert C. Moore","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"R. Channing Moore","raw_affiliation_strings":["Google Research, New York, USA","Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","Google Research, New York, NY 10011 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, 08002 Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Google Research, New York, NY 10011 USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3059,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88323576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"1235","last_page":"1239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","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/T11309","display_name":"Music and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","score":0.9958000183105469,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9800999760627747,"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":0.7990021705627441},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.7728284597396851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6012261509895325},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5937360525131226},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5623250603675842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4907766282558441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4756842851638794},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4730195999145508},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4692870080471039},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43734776973724365},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4204913079738617},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41724294424057007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35327351093292236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990021705627441},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.7728284597396851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6012261509895325},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5937360525131226},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5623250603675842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4907766282558441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4756842851638794},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4730195999145508},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4692870080471039},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43734776973724365},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4204913079738617},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41724294424057007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35327351093292236},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2020.3006378","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3006378","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/8966529/09130823.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2005.00878","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.00878","pdf_url":"https://arxiv.org/pdf/2005.00878","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/lsp.2020.3006378","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3006378","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/8966529/09130823.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3021910945.pdf","grobid_xml":"https://content.openalex.org/works/W3021910945.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1784695092","https://openalex.org/W1821462560","https://openalex.org/W2038484192","https://openalex.org/W2052666245","https://openalex.org/W2134086158","https://openalex.org/W2134797427","https://openalex.org/W2167460663","https://openalex.org/W2176625348","https://openalex.org/W2194775991","https://openalex.org/W2402040300","https://openalex.org/W2526050071","https://openalex.org/W2593116425","https://openalex.org/W2612445135","https://openalex.org/W2734663976","https://openalex.org/W2759976799","https://openalex.org/W2770119437","https://openalex.org/W2798579254","https://openalex.org/W2884535146","https://openalex.org/W2901008872","https://openalex.org/W2921629193","https://openalex.org/W2948982921","https://openalex.org/W2962843773","https://openalex.org/W2963859210","https://openalex.org/W2963906190","https://openalex.org/W2964121744","https://openalex.org/W2965036688","https://openalex.org/W2973109987","https://openalex.org/W2982036217","https://openalex.org/W2982339864","https://openalex.org/W2982343573","https://openalex.org/W2988175183","https://openalex.org/W2994728585","https://openalex.org/W2997981428","https://openalex.org/W2998559948","https://openalex.org/W3094550259","https://openalex.org/W3156669901","https://openalex.org/W4288087455","https://openalex.org/W4297775537","https://openalex.org/W4398958419","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6679909955","https://openalex.org/W6712847557","https://openalex.org/W6737664043","https://openalex.org/W6746278845","https://openalex.org/W6750883802","https://openalex.org/W6753583920","https://openalex.org/W6756163718","https://openalex.org/W6769003670","https://openalex.org/W6770470020","https://openalex.org/W6771438384"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,16,26,30,34,40,86,101,111,145],"label":[3,69,89],"noise":[4],"in":[5],"sound":[6],"event":[7],"recognition":[8,92],"has":[9],"recently":[10],"gained":[11],"attention":[12],"with":[13,59,142],"the":[14,24,31,41,65,77,87,102,112,119,128],"advent":[15],"larger":[17,126],"and":[18,38,51,71],"noisier":[19],"datasets.":[20,156],"This":[21],"work":[22],"addresses":[23],"problem":[25],"missing":[27,68,113,123],"labels,":[28],"one":[29,39],"big":[32],"weaknesses":[33],"large":[35],"audio":[36],"datasets,":[37],"most":[42,66,100],"conspicuous":[43],"issues":[44],"for":[45],"AudioSet.":[46],"We":[47,80,97,115,147],"propose":[48],"a":[49,56,83,107],"simple":[50,84],"model-agnostic":[52],"method":[53],"based":[54],"on":[55],"teacher-student":[57],"framework":[58],"loss":[60],"masking":[61],"to":[62,153],"first":[63],"identify":[64],"critical":[67,108],"candidates,":[70],"then":[72],"ignore":[73],"their":[74],"contribution":[75],"during":[76],"learning":[78],"process.":[79],"find":[81],"that":[82,99,118],"optimisation":[85],"training":[88,129,141],"set":[90,130],"improves":[91],"performance":[93],"without":[94],"additional":[95],"computation.":[96],"discover":[98],"improvement":[103],"comes":[104],"from":[105],"ignoring":[106],"tiny":[109],"portion":[110],"labels.":[114],"also":[116],"show":[117],"damage":[120],"done":[121],"by":[122],"labels":[124],"is":[125],"as":[127],"gets":[131],"smaller,":[132],"yet":[133],"it":[134],"can":[135,151],"still":[136],"be":[137],"observed":[138],"even":[139],"when":[140],"massive":[143],"amounts":[144],"audio.":[146],"believe":[148],"these":[149],"insights":[150],"generalize":[152],"other":[154],"large-scale":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
