{"id":"https://openalex.org/W4407130140","doi":"https://doi.org/10.1109/imcom64595.2025.10857517","title":"Comparative Analysis of Machine Learning Algorithms and Ensemble Techniques for Diverse Image Classification Tasks","display_name":"Comparative Analysis of Machine Learning Algorithms and Ensemble Techniques for Diverse Image Classification Tasks","publication_year":2025,"publication_date":"2025-01-03","ids":{"openalex":"https://openalex.org/W4407130140","doi":"https://doi.org/10.1109/imcom64595.2025.10857517"},"language":"en","primary_location":{"id":"doi:10.1109/imcom64595.2025.10857517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom64595.2025.10857517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5075424731","display_name":"Yulita Salim","orcid":"https://orcid.org/0000-0003-3438-8819"},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Yulita Salim","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116144738","display_name":"Athar Fathana Rakasyah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Athar Fathana Rakasyah","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069337580","display_name":"Herdianti Darwis","orcid":"https://orcid.org/0000-0001-5196-0966"},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Herdianti Darwis","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000006327","display_name":"Harlinda Harlinda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Harlinda","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765205","display_name":"Irawati Irawati","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Irawati","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114383847","display_name":"Abdul Rachman Manga\u2019","orcid":"https://orcid.org/0009-0008-8599-3916"},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Abdul Rachman Manga","raw_affiliation_strings":["Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia,Department of Computer Science,Makassar,Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075424731"],"corresponding_institution_ids":["https://openalex.org/I4210116576"],"apc_list":null,"apc_paid":null,"fwci":19.0922,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98938665,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.21389999985694885,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.21389999985694885,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7731203436851501},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5879546403884888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5533245205879211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5390344262123108},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45286932587623596},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4486722946166992},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43836042284965515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37371665239334106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34999537467956543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731203436851501},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5879546403884888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5533245205879211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5390344262123108},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45286932587623596},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4486722946166992},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43836042284965515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37371665239334106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34999537467956543}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom64595.2025.10857517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom64595.2025.10857517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":31,"referenced_works":["https://openalex.org/W2965318645","https://openalex.org/W2984313420","https://openalex.org/W3014641072","https://openalex.org/W3021632667","https://openalex.org/W3030364939","https://openalex.org/W3046220160","https://openalex.org/W3083753334","https://openalex.org/W3087326580","https://openalex.org/W3092739266","https://openalex.org/W3092783643","https://openalex.org/W3100866969","https://openalex.org/W3121831259","https://openalex.org/W3158307528","https://openalex.org/W3183992926","https://openalex.org/W3193884101","https://openalex.org/W3194020089","https://openalex.org/W3197092826","https://openalex.org/W3200264958","https://openalex.org/W3205511895","https://openalex.org/W4210348552","https://openalex.org/W4213350476","https://openalex.org/W4214821456","https://openalex.org/W4281714334","https://openalex.org/W4307726656","https://openalex.org/W4307960055","https://openalex.org/W4310623152","https://openalex.org/W4316468811","https://openalex.org/W4317425876","https://openalex.org/W4319020257","https://openalex.org/W4383426526","https://openalex.org/W4385977953"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3092276832","https://openalex.org/W4375951447","https://openalex.org/W3213683101"],"abstract_inverted_index":{"In":[0],"the":[1,7,24,43,76,181,193,201,213,240],"era":[2],"of":[3,26,33,45,70,203,215],"burgeoning":[4],"image":[5,11,27,90,167,204,223,247],"data,":[6],"demand":[8],"for":[9,102,229,242],"robust":[10],"classification":[12,50,71,248],"algorithms":[13],"has":[14],"never":[15],"been":[16],"more":[17,243],"pressing.":[18],"This":[19,195],"research":[20],"article":[21,196],"delves":[22],"into":[23,200],"realm":[25,202],"classification,":[28,168,205],"encompassing":[29],"a":[30,67,140,145],"comprehensive":[31,141],"analysis":[32],"diverse":[34,155,222],"datasets":[35,74],"and":[36,63,85,128,159,189,211,218,245],"machine":[37,110],"learning":[38,111],"algorithms,":[39,186],"While":[40],"simultaneously":[41],"studying":[42],"efficiency":[44],"ensemble":[46,142,216],"approaches":[47],"in":[48,164,173],"improving":[49],"performance.":[51],"The":[52,89,148],"study":[53],"employs":[54],"five":[55,109],"distinct":[56],"datasets,":[57],"spanning":[58],"medical":[59,233],"images,":[60],"everyday":[61,236],"objects,":[62],"natural":[64],"scenery,":[65],"ensuring":[66],"broad":[68],"spectrum":[69],"challenges.":[72],"These":[73,225],"include":[75],"Skin":[77],"Cancer":[78],"ISIC":[79],"dataset,":[80],"CIFAR-10,":[81],"Flowers,":[82],"Apparel":[83],"Image,":[84],"Brain":[86],"Tumor":[87],"dataset.":[88],"classes":[91],"within":[92],"these":[93,185],"data":[94],"sets":[95],"vary":[96],"significantly,":[97],"presenting":[98],"an":[99],"ideal":[100],"testbed":[101],"assessing":[103],"algorithmic":[104,209],"versatility.":[105],"Our":[106],"investigation":[107],"scrutinizes":[108],"algorithms:":[112],"Support":[113],"Vector":[114],"Classifier":[115,119,123],"(SVC),":[116],"Random":[117],"Forest":[118],"(RFC),":[120],"Gradient":[121],"Boosting":[122],"(GBC),":[124],"K-Nearest":[125],"Neighbors":[126],"(KNN),":[127],"Gaussian":[129],"Naive":[130],"Bayes":[131],"(GNB).":[132],"Each":[133],"algorithm":[134],"is":[135],"evaluated":[136],"individually,":[137],"followed":[138],"by":[139,180],"approach":[143],"involving":[144],"Voting":[146,182],"Classifier.":[147],"results":[149],"unveil":[150],"nuanced":[151],"performance":[152,191],"variations":[153],"across":[154,192],"datasets.":[156,194,224],"Notably,":[157],"RFC":[158],"GBC":[160],"exhibit":[161],"remarkable":[162],"accuracy":[163],"brain":[165],"tumor":[166],"while":[169],"KNN":[170],"demonstrates":[171],"strengths":[172,210],"classifying":[174],"apparel":[175],"images.":[176],"Ensemble":[177],"techniques,":[178,217],"embodied":[179],"Classifier,":[183],"harmonize":[184],"yielding":[187],"competitive":[188],"balanced":[190],"contributes":[197],"valuable":[198],"insights":[199],"shedding":[206],"light":[207],"on":[208],"limitations,":[212],"efficacy":[214],"their":[219],"applicability":[220],"to":[221,235],"findings":[226],"hold":[227],"significance":[228],"fields":[230],"ranging":[231],"from":[232],"diagnostics":[234],"object":[237],"recognition,":[238],"paving":[239],"way":[241],"precise":[244],"versatile":[246],"solution":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}