{"id":"https://openalex.org/W3113811627","doi":"https://doi.org/10.1145/3430199.3430215","title":"Ensembling Learning Based Melanoma Classification Using Gradient Boosting Decision Trees","display_name":"Ensembling Learning Based Melanoma Classification Using Gradient Boosting Decision Trees","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3113811627","doi":"https://doi.org/10.1145/3430199.3430215","mag":"3113811627"},"language":"en","primary_location":{"id":"doi:10.1145/3430199.3430215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","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/A5090430188","display_name":"Yipeng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yipeng Han","raw_affiliation_strings":["University of New South Wales, Sydeny, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydeny, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109979028","display_name":"Xiaolu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Zheng","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090430188"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54304093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9916999936103821,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8788937330245972},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7191332578659058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076006531715393},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.7026687264442444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581577062606812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5983532071113586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32737112045288086},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.22080281376838684}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8788937330245972},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7191332578659058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076006531715393},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7026687264442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581577062606812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5983532071113586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32737112045288086},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.22080281376838684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430199.3430215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430199.3430215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2043106860","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2157720605","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2290770656","https://openalex.org/W2783826483","https://openalex.org/W2806853752","https://openalex.org/W2896917102","https://openalex.org/W2899477876","https://openalex.org/W3099421655"],"related_works":["https://openalex.org/W3204430031","https://openalex.org/W4296081764","https://openalex.org/W4206556944","https://openalex.org/W3159988495","https://openalex.org/W3151529617","https://openalex.org/W3200719183","https://openalex.org/W4288057626","https://openalex.org/W4293069612","https://openalex.org/W3212730154","https://openalex.org/W4200057378"],"abstract_inverted_index":{"Melanoma":[0],"has":[1],"been":[2,89],"regarded":[3],"as":[4,43,53,128],"one":[5],"of":[6,32,56,109,133],"the":[7,14,25,30,33,54,57,64,67,79,83,91,115,124,129,134,151,162],"fatal":[8],"skin":[9],"cancer":[10],"diseases":[11],"all":[12],"around":[13],"world.":[15],"Early":[16],"detection":[17,116],"on":[18,104],"melanoma":[19],"can":[20,187],"be":[21],"quite":[22],"helpful":[23],"in":[24,60,100,143,166],"clinical":[26],"treatment,":[27],"to":[28,95,113],"prevent":[29],"deterioration":[31],"deadly":[34],"diseases.":[35],"Handcrafted-feature":[36],"extraction":[37],"and":[38,86,136],"shallow":[39],"architecture-based":[40],"classifier":[41],"(such":[42,127],"k-nearest":[44],"neighbors":[45],"algorithm,":[46],"random":[47],"forest,":[48],"support":[49],"vector":[50],"machine)":[51],"worked":[52],"basis":[55],"previous":[58],"attempts":[59],"detecting":[61,80,167,179],"process.":[62],"During":[63],"recent":[65],"years,":[66],"new":[68],"approach":[69],"named":[70],"deep":[71,138],"convolutional":[72],"neural":[73],"network":[74],"(CNN)":[75],"was":[76],"used":[77],"for":[78,154,161,178],"task.":[81,168],"Although":[82],"persistent":[84],"progress":[85],"efforts":[87],"have":[88,149],"achieved,":[90],"classification":[92],"methods":[93],"desire":[94],"go":[96],"a":[97,175],"further":[98,102],"step":[99],"pursuing":[101],"improvement":[103],"its":[105],"performance.":[106],"The":[107,146],"goal":[108],"this":[110,144],"paper":[111],"is":[112],"improve":[114],"performance":[117,190],"using":[118],"an":[119],"ensemble":[120,163,185],"learning":[121,139,164,186],"framework.":[122],"Both":[123],"personal":[125],"information":[126,132],"age,":[130],"gender":[131],"patients)":[135],"latest":[137],"approaches":[140,148],"are":[141],"applied":[142],"paper.":[145],"two":[147],"provided":[150],"mutual":[152],"complements":[153],"each":[155],"other,":[156],"which":[157,181],"demonstrated":[158],"enormous":[159],"advantages":[160],"framework":[165],"We":[169],"conducted":[170],"extensive":[171],"experiments":[172],"that":[173,183],"provide":[174,188],"large":[176],"dataset":[177],"melanoma,":[180],"illustrates":[182],"our":[184],"superior":[189],"with":[191],"high":[192],"accuracy.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-22T13:39:03.778224","created_date":"2025-10-10T00:00:00"}
