{"id":"https://openalex.org/W4402454400","doi":"https://doi.org/10.1145/3674029.3674050","title":"Machine Learning Tool for Wildlife Image Classification","display_name":"Machine Learning Tool for Wildlife Image Classification","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4402454400","doi":"https://doi.org/10.1145/3674029.3674050"},"language":"en","primary_location":{"id":"doi:10.1145/3674029.3674050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","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/A5107132645","display_name":"Karoline Seljebotn","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Karoline Seljebotn","raw_affiliation_strings":["Applied Data Science, Noroff University College, Norway"],"raw_orcid":"https://orcid.org/0009-0005-7381-2418","affiliations":[{"raw_affiliation_string":"Applied Data Science, Noroff University College, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059315624","display_name":"Isah A. Lawal","orcid":"https://orcid.org/0000-0002-3108-5997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Isah A. Lawal","raw_affiliation_strings":["Applied Data Science, Noroff University College, Norway"],"raw_orcid":"https://orcid.org/0000-0002-3108-5997","affiliations":[{"raw_affiliation_string":"Applied Data Science, Noroff University College, Norway","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107132645"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.876,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84525896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6604307889938354},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5601222515106201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5569966435432434},{"id":"https://openalex.org/keywords/wildlife","display_name":"Wildlife","score":0.556975245475769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46851587295532227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4321095049381256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38770821690559387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242955803871155},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08843058347702026},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07287859916687012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604307889938354},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5601222515106201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5569966435432434},{"id":"https://openalex.org/C29376679","wikidata":"https://www.wikidata.org/wiki/Q241741","display_name":"Wildlife","level":2,"score":0.556975245475769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46851587295532227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4321095049381256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38770821690559387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242955803871155},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08843058347702026},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07287859916687012}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674029.3674050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2903149264","https://openalex.org/W3087570018","https://openalex.org/W3122491940","https://openalex.org/W3131523960","https://openalex.org/W3208787894","https://openalex.org/W4206004579","https://openalex.org/W6611793878"],"related_works":["https://openalex.org/W2000315402","https://openalex.org/W2361909619","https://openalex.org/W3113123330","https://openalex.org/W2164318214","https://openalex.org/W2799487830","https://openalex.org/W2398337084","https://openalex.org/W2144834373","https://openalex.org/W3085323195","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Wildlife":[0],"researchers":[1,86],"gather":[2],"a":[3,37,51,57,78],"large":[4],"amount":[5],"of":[6,60],"image":[7],"data":[8,13],"during":[9],"fieldwork.":[10],"Reviewing":[11],"this":[12,22],"is":[14],"time-consuming":[15],"and":[16,46,65],"requires":[17],"specialized":[18],"expertise.":[19],"To":[20],"address":[21],"issue,":[23],"machine":[24],"learning":[25],"models":[26],"can":[27],"automatically":[28],"classify":[29],"animals":[30,42],"in":[31,43],"these":[32],"images.":[33],"This":[34],"study":[35],"introduces":[36],"new":[38],"method":[39],"for":[40,62,67],"classifying":[41],"both":[44],"benchmark":[45,63],"camera":[47,68],"trap":[48,69],"images":[49,64,70],"using":[50],"single":[52],"model.":[53],"The":[54,73],"model":[55,74],"achieved":[56],"top-1":[58],"accuracy":[59],"93%":[61],"56%":[66],"previously":[71],"unseen.":[72],"was":[75],"integrated":[76],"into":[77],"web":[79],"application,":[80],"making":[81],"it":[82],"accessible":[83],"to":[84],"wildlife":[85],"without":[87],"programming":[88],"knowledge.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
