{"id":"https://openalex.org/W4301957152","doi":"https://doi.org/10.1109/iwssip55020.2022.9854441","title":"Gemstone classification using ConvNet with transfer learning and fine-tuning","display_name":"Gemstone classification using ConvNet with transfer learning and fine-tuning","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4301957152","doi":"https://doi.org/10.1109/iwssip55020.2022.9854441"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip55020.2022.9854441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip55020.2022.9854441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5022981913","display_name":"Willian M. Freire","orcid":"https://orcid.org/0000-0002-9497-3123"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Willian M. Freire","raw_affiliation_strings":["State University of Maringá (UEM),Department of Informatics,Maringá,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Maringá (UEM),Department of Informatics,Maringá,Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016602634","display_name":"Aline Maria Malachini Miotto Amaral","orcid":"https://orcid.org/0000-0001-8884-3966"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aline M. M. M. Amaral","raw_affiliation_strings":["State University of Maringá (UEM),Department of Informatics,Maringá,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Maringá (UEM),Department of Informatics,Maringá,Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002078182","display_name":"Yandre M. G. Costa","orcid":"https://orcid.org/0000-0002-0630-3171"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yandre M. G. Costa","raw_affiliation_strings":["State University of Maringá (UEM),Department of Informatics,Maringá,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Maringá (UEM),Department of Informatics,Maringá,Brazil","institution_ids":["https://openalex.org/I123443094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2184,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8038165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9965000152587891,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9965000152587891,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9887999892234802,"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":0.7569983005523682},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7102655172348022},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.701290488243103},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6746787428855896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6334120035171509},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5247112512588501},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45652997493743896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45249104499816895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40380150079727173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.366457998752594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1076602041721344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05394619703292847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569983005523682},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7102655172348022},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.701290488243103},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6746787428855896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6334120035171509},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5247112512588501},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45652997493743896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45249104499816895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40380150079727173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.366457998752594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1076602041721344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05394619703292847},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip55020.2022.9854441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip55020.2022.9854441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1542791059","https://openalex.org/W1569512666","https://openalex.org/W1570448133","https://openalex.org/W1586030997","https://openalex.org/W1677182931","https://openalex.org/W2032227103","https://openalex.org/W2117130368","https://openalex.org/W2145023731","https://openalex.org/W2165698076","https://openalex.org/W2183341477","https://openalex.org/W2253728219","https://openalex.org/W2749733699","https://openalex.org/W3082616142"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W4380075502"],"abstract_inverted_index":{"A":[0],"gemstone":[1,22],"is":[2,13,23,38],"a":[3,21,24,39,129],"piece":[4],"of":[5,46,49,132,144,149],"mineral":[6],"crystal":[7],"that,":[8],"when":[9],"cut":[10],"and":[11,73,106,109,115],"polished,":[12],"used":[14],"to":[15,28,32,56,61],"make":[16],"jewelry":[17],"or":[18],"adornments.":[19],"Identifying":[20],"complex":[25],"task":[26],"due":[27],"several":[29],"aspects":[30],"related":[31],"its":[33],"nature.":[34],"Deep":[35],"Learning":[36],"(DL)":[37],"research":[40],"field":[41],"that":[42],"enables":[43],"the":[44,87,98,120,147],"construction":[45],"systems":[47],"capable":[48],"acquiring":[50],"knowledge.":[51],"Thus,":[52],"this":[53,84,151],"work":[54],"proposes":[55],"use":[57],"an":[58,142],"DL":[59],"model":[60,89,140],"classify":[62],"gemstones.":[63],"Additional":[64],"strategies":[65],"such":[66],"as":[67],"data":[68],"augmentation":[69],"(DA),":[70],"image":[71],"clipping,":[72],"transfer":[74],"learning":[75],"(TL)":[76],"techniques":[77],"have":[78],"also":[79,123],"been":[80],"experimented":[81],"with.":[82],"For":[83],"last":[85],"technique,":[86],"InceptionV3":[88],"was":[90,122],"compared":[91,102],"with":[92],"other":[93],"models":[94],"already":[95],"present":[96],"in":[97,110],"literature.":[99],"They":[100],"were":[101,118,126],"based":[103],"on":[104,128],"accuracy":[105,143],"loss":[107],"metrics,":[108],"cases":[111],"where":[112],"F1,":[113],"Precision,":[114],"Recall":[116],"metrics":[117],"available,":[119],"evaluation":[121],"performed.":[124],"Experiments":[125],"conducted":[127],"dataset":[130],"composed":[131],"gemstones":[133],"categorized":[134],"into":[135],"87":[136],"classes.":[137],"The":[138],"proposed":[139],"achieved":[141],"72%,":[145],"corroborating":[146],"feasibility":[148],"automating":[150],"task.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}