{"id":"https://openalex.org/W2902557076","doi":"https://doi.org/10.1109/icpr.2018.8545812","title":"Cross-Dataset Data Augmentation for Convolutional Neural Networks Training","display_name":"Cross-Dataset Data Augmentation for Convolutional Neural Networks Training","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902557076","doi":"https://doi.org/10.1109/icpr.2018.8545812","mag":"2902557076"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10278/3710073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065647549","display_name":"Andrea Gasparetto","orcid":"https://orcid.org/0000-0003-4986-0442"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Gasparetto","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017911259","display_name":"Dalila Ressi","orcid":"https://orcid.org/0000-0001-5291-5438"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dalila Ressi","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077880230","display_name":"Filippo Bergamasco","orcid":"https://orcid.org/0000-0001-6668-1556"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Bergamasco","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003153967","display_name":"Mara Pistellato","orcid":"https://orcid.org/0000-0001-6273-290X"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mara Pistellato","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085428440","display_name":"Luca Cosmo","orcid":"https://orcid.org/0000-0001-7729-4666"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Cosmo","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062258338","display_name":"Marco Antonio Boschetti","orcid":"https://orcid.org/0000-0002-8712-115X"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Boschetti","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024304706","display_name":"Enrico Ursella","orcid":"https://orcid.org/0000-0003-1295-391X"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Ursella","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030155299","display_name":"Andrea Albarelli","orcid":"https://orcid.org/0000-0002-3659-5099"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Albarelli","raw_affiliation_strings":["Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca\u2019 Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Scienze Ambientali Informatica e Statistica, Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149461666"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1409 1556","issue":null,"first_page":"910","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.8349032402038574},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.8169911503791809},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6833885312080383},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6571704745292664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.590833842754364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.576894223690033},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5623583793640137},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5449399948120117},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5122403502464294},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48164740204811096},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47436389327049255},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.44796445965766907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43235525488853455},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41386115550994873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39522355794906616},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33027923107147217},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06969201564788818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349032402038574},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.8169911503791809},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6833885312080383},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6571704745292664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.590833842754364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.576894223690033},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5623583793640137},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5449399948120117},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5122403502464294},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48164740204811096},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47436389327049255},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.44796445965766907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43235525488853455},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41386115550994873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39522355794906616},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33027923107147217},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06969201564788818},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2018.8545812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unive.it:10278/3710073","is_oa":true,"landing_page_url":"http://hdl.handle.net/10278/3710073","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unive.it:10278/3710073","is_oa":true,"landing_page_url":"http://hdl.handle.net/10278/3710073","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2149933564","https://openalex.org/W2163605009","https://openalex.org/W2166469100","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2467838519","https://openalex.org/W2746808752","https://openalex.org/W2763323349","https://openalex.org/W2962759496","https://openalex.org/W2963459241","https://openalex.org/W4299518610","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6684593460","https://openalex.org/W6686164453","https://openalex.org/W6719727587","https://openalex.org/W6742813915"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W1479940569","https://openalex.org/W3185156046","https://openalex.org/W2922305141","https://openalex.org/W3000197790"],"abstract_inverted_index":{"Within":[0],"modern":[1],"Deep":[2],"Learning":[3],"setups,":[4],"data":[5,29],"augmentation":[6,30],"is":[7,39],"the":[8,26,45,73,89,142],"weapon":[9],"of":[10,22,28,54,75,114,145],"choice":[11],"when":[12,33],"dealing":[13],"with":[14,18,50,58],"narrow":[15],"datasets":[16],"or":[17],"a":[19,36,51,64,82,111,128,152],"poor":[20],"range":[21],"different":[23,83],"samples.":[24,55],"However,":[25],"benefits":[27],"are":[31,148],"abysmal":[32],"applied":[34],"to":[35,42,47,104,150],"dataset":[37],"which":[38],"inherently":[40],"unable":[41],"cover":[43],"all":[44],"categories":[46],"be":[48,99],"classified":[49],"significant":[52],"number":[53],"To":[56],"deal":[57],"such":[59],"desperate":[60],"scenarios,":[61],"we":[62,109,123,139],"propose":[63,110],"possible":[65],"last":[66],"resort:":[67],"Cross-Dataset":[68,119],"Data":[69,120],"Augmentation.":[70],"That":[71],"is,":[72],"creation":[74],"new":[76,136],"samples":[77],"by":[78],"morphing":[79],"observations":[80],"from":[81],"source":[84],"into":[85],"credible":[86],"specimens":[87],"for":[88,101,118],"training":[90],"dataset.":[91],"Of":[92],"course":[93],"specific":[94],"and":[95,116,122],"strict":[96],"conditions":[97],"must":[98],"satisfied":[100],"this":[102,107,156],"trick":[103],"work.":[105],"In":[106],"paper":[108,147],"general":[112],"set":[113],"strategies":[115],"rules":[117],"Augmentation":[121],"demonstrate":[124],"its":[125],"feasibility":[126],"over":[127],"concrete":[129],"case":[130],"study.":[131],"Even":[132],"without":[133],"defining":[134],"any":[135],"formal":[137],"approach,":[138],"think":[140],"that":[141],"preliminary":[143],"results":[144],"our":[146],"worth":[149],"produce":[151],"broader":[153],"discussion":[154],"on":[155],"topic.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
