{"id":"https://openalex.org/W4404389933","doi":"https://doi.org/10.1051/bioconf/202413914010","title":"Automated counting of large vertebrate species using AutoML technology","display_name":"Automated counting of large vertebrate species using AutoML technology","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404389933","doi":"https://doi.org/10.1051/bioconf/202413914010"},"language":"en","primary_location":{"id":"doi:10.1051/bioconf/202413914010","doi":"https://doi.org/10.1051/bioconf/202413914010","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1051/bioconf/202413914010","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/58/bioconf_agriscience2024_14010.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/58/bioconf_agriscience2024_14010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084298575","display_name":"Vladislav Alekseevich Sobolevskii","orcid":"https://orcid.org/0000-0001-7685-4991","observed_orcids":["https://orcid.org/0000-0001-7685-4991"]},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladislav Sobolevskii","raw_affiliation_strings":["St. Petersburg Federal Research Center of the Russian Academy of Science, 14 line V.O., 39, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Petersburg Federal Research Center of the Russian Academy of Science, 14 line V.O., 39, St. Petersburg, Russia","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079803622","display_name":"Leonid Kolpashikov","orcid":"https://orcid.org/0000-0003-4871-3360","observed_orcids":["https://orcid.org/0000-0003-4871-3360"]},"institutions":[{"id":"https://openalex.org/I4210140601","display_name":"Taymyr Nature Reserve","ror":"https://ror.org/03r1tnz13","country_code":"RU","type":"archive","lineage":["https://openalex.org/I4210140601"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Leonid Kolpaschikov","raw_affiliation_strings":["United Directorate of Taimyr Nature Reserves, Talnakhskaya 22, Norilsk, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United Directorate of Taimyr Nature Reserves, Talnakhskaya 22, Norilsk, Russia","institution_ids":["https://openalex.org/I4210140601"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sophia Rosenfeld","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210149923","display_name":"Severtsov Institute of Ecology and Evolution","ror":"https://ror.org/0577sef82","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210129690","https://openalex.org/I4210149923"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sophia Rosenfeld","raw_affiliation_strings":["Institute of Ecology and Evolution A. N. Severtsov of the Russian Academy of Science, Leninsky prospect, 33, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Ecology and Evolution A. N. Severtsov of the Russian Academy of Science, Leninsky prospect, 33, Moscow, Russia","institution_ids":["https://openalex.org/I4210149923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040290880","display_name":"\u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u041c\u0438\u0445\u0430\u0439\u043b\u043e\u0432","orcid":"https://orcid.org/0000-0001-6973-3526","observed_orcids":["https://orcid.org/0000-0001-6973-3526"]},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Mikhailov","raw_affiliation_strings":["St. Petersburg Federal Research Center of the Russian Academy of Science, 14 line V.O., 39, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Petersburg Federal Research Center of the Russian Academy of Science, 14 line V.O., 39, St. Petersburg, Russia","institution_ids":["https://openalex.org/I1313323035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2803,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55291099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"139","issue":null,"first_page":"14010","last_page":"14010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9580000042915344,"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":0.9580000042915344,"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/T10616","display_name":"Smart Agriculture and AI","score":0.02669999934732914,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.005799999926239252,"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/reindeer","display_name":"reindeer","score":0.9620000123977661},{"id":"https://openalex.org/keywords/branta-bernicla","display_name":"Branta bernicla","score":0.9980000257492065},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"aerial imagery","score":0.6389999985694885},{"id":"https://openalex.org/keywords/mask-r-cnn","display_name":"Mask R-CNN","score":0.7490000128746033},{"id":"https://openalex.org/keywords/automated-machine-learning","display_name":"automated machine learning","score":0.7089999914169312},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.8199999928474426},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.47200000286102295},{"id":"https://openalex.org/keywords/wildlife-monitoring","display_name":"wildlife monitoring","score":0.5849999785423279},{"id":"https://openalex.org/keywords/taimyr","display_name":"Taimyr","score":0.7080000042915344}],"concepts":[{"id":"https://openalex.org/C2778961482","wikidata":"https://www.wikidata.org/wiki/Q25241","display_name":"Vertebrate","level":3,"score":0.7006216049194336},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4713068902492523},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.45030391216278076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34783127903938293},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.04817831516265869},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/bioconf/202413914010","doi":"https://doi.org/10.1051/bioconf/202413914010","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1051/bioconf/202413914010","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/58/bioconf_agriscience2024_14010.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d2efd8e752644d6b8f7527bc9effe5c","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/3d2efd8e752644d6b8f7527bc9effe5c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BIO Web of Conferences, Vol 139, p 14010 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/bioconf/202413914010","doi":"https://doi.org/10.1051/bioconf/202413914010","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1051/bioconf/202413914010","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/58/bioconf_agriscience2024_14010.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404389933.pdf","grobid_xml":"https://content.openalex.org/works/W4404389933.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2751317977","https://openalex.org/W2963150697","https://openalex.org/W2997004889","https://openalex.org/W3093312839","https://openalex.org/W4295007588","https://openalex.org/W4396732719"],"related_works":["https://openalex.org/W7128375532","https://openalex.org/W4416204289","https://openalex.org/W4225852444","https://openalex.org/W3211016927","https://openalex.org/W4395472555","https://openalex.org/W4313341985","https://openalex.org/W7133927981","https://openalex.org/W4401388925","https://openalex.org/W4387938934","https://openalex.org/W7136133309"],"abstract_inverted_index":{"The":[0,27,52,76,113],"purpose":[1],"of":[2,15,18,64,71,85,87,109,144,156,164,168,180,203,214,224],"the":[3,69,97,107,121,130,137,142,154,165,169,174,183,194,221,225],"presented":[4,98],"work":[5],"is":[6,56,79,116],"to":[7,81,135],"develop":[8],"an":[9],"automation":[10],"system":[11,31,55,78,99],"for":[12,32,90,191],"synthesizing":[13],"models":[14],"automatic":[16,72],"recognition":[17,54,138,207],"different":[19,162,204],"animal":[20,205],"species":[21,39,206],"in":[22,93,151,161],"photo":[23],"and":[24,34,44,134,153],"video":[25],"images.":[26,51,94],"paper":[28],"presents":[29],"a":[30,59,83],"recognizing":[33,91],"counting":[35],"two":[36],"large":[37],"vertebrate":[38],"-":[40],"reindeer":[41,145,181],"(Rangifer":[42],"tarandus)":[43],"white-cheeked":[45],"goose":[46,158],"(Branta":[47],"bernicla)":[48],"on":[49,58,120,182],"aerial":[50,149],"AutoGenNet":[53,126],"based":[57,119],"convolutional":[60],"neural":[61],"network":[62],"(CNN)":[63],"Mask":[65,131],"R-CNN":[66,132],"architecture":[67],"using":[68],"concept":[70],"machine":[73,215],"learning":[74,216],"(AutoML).":[75],"created":[77,209],"able":[80],"automate":[82],"number":[84],"stages":[86],"model":[88,115,133,202],"creation":[89],"objects":[92],"In":[95],"particular,":[96],"utilizes":[100],"transfer":[101],"learning.":[102],"This":[103],"approach":[104],"significantly":[105],"reduces":[106],"amount":[108],"training":[110],"data":[111,196],"required.":[112],"CNN":[114],"synthesized":[117],"automatically":[118],"images":[122,143,155],"marked":[123],"up":[124],"by":[125],"system.":[127],"To":[128],"learn":[129],"test":[136,184],"accuracy,":[139],"we":[140],"used":[141],"herds":[146],"obtained":[147],"during":[148],"surveys":[150],"Taimyr":[152],"brant":[157,188],"flocks":[159],"taken":[160],"regions":[163],"Arctic":[166],"zone":[167],"Russian":[170],"Federation.":[171],"On":[172],"average,":[173],"trained":[175],"software":[176],"correctly":[177],"recognised":[178],"82%":[179],"array.":[185],"Correctly":[186],"recognizable":[187],"geese":[189],"accounted":[190],"65%":[192],"across":[193],"entire":[195],"set":[197],"tested.":[198],"Considering":[199],"that":[200],"this":[201,218],"was":[208],"automatically,":[210],"with":[211],"minimal":[212],"involvement":[213],"specialists,":[217],"result":[219],"indicates":[220],"successful":[222],"application":[223],"AutoML":[226],"approach.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2024-11-15T00:00:00"}