{"id":"https://openalex.org/W2985206888","doi":"https://doi.org/10.1109/icmlc48188.2019.8949189","title":"Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context","display_name":"Multi-Perspective Creation of Diversity for Image Classification In Ensemble Learning Context","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2985206888","doi":"https://doi.org/10.1109/icmlc48188.2019.8949189","mag":"2985206888"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100349055","display_name":"Han Liu","orcid":"https://orcid.org/0000-0002-7731-8258"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University,Queen's Buildings, 5 The Parade, Cardiff CF24 3AA,United Kingdom","School of Computer Science and Informatics, Cardiff University, Queen's Buildings, 5 The Parade, Cardiff CF24 3AA, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University,Queen's Buildings, 5 The Parade, Cardiff CF24 3AA,United Kingdom","institution_ids":["https://openalex.org/I79510175"]},{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, Queen's Buildings, 5 The Parade, Cardiff CF24 3AA, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061831201","display_name":"Shyi\u2010Ming Chen","orcid":"https://orcid.org/0000-0001-8648-631X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shyi-Ming Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13949945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9918000102043152,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9918000102043152,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9804999828338623,"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/T10057","display_name":"Face and Expression Recognition","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7388314008712769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7281094789505005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7011010646820068},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6347277164459229},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6212752461433411},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.5852969884872437},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.575533926486969},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5729789733886719},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5454415082931519},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5118722319602966},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48663124442100525},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4655716121196747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4650821089744568},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46273645758628845},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21335765719413757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388314008712769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7281094789505005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7011010646820068},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6347277164459229},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6212752461433411},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.5852969884872437},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.575533926486969},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5729789733886719},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5454415082931519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5118722319602966},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48663124442100525},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4655716121196747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4650821089744568},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46273645758628845},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21335765719413757},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:124285","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W605727707","https://openalex.org/W1483055888","https://openalex.org/W1504694836","https://openalex.org/W1648786085","https://openalex.org/W1978381081","https://openalex.org/W1988538876","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2125610378","https://openalex.org/W2155925556","https://openalex.org/W2160767978","https://openalex.org/W2620170600","https://openalex.org/W2883828728","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2939295468","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W4232478844","https://openalex.org/W6607259140","https://openalex.org/W6676769703","https://openalex.org/W6683381688"],"related_works":["https://openalex.org/W3136871737","https://openalex.org/W2558685994","https://openalex.org/W4390860632","https://openalex.org/W4205206396","https://openalex.org/W2074219825","https://openalex.org/W2974328778","https://openalex.org/W2111684525","https://openalex.org/W1538678705","https://openalex.org/W2394095686","https://openalex.org/W2088230222"],"abstract_inverted_index":{"Image":[0],"classification":[1,7,203,251],"is":[2,28,252],"a":[3,98,111,195,227,234],"special":[4],"type":[5],"of":[6,12,24,41,63,77,92,97,110,141,169,182,187,198,207,230,236,249,257,261],"tasks":[8],"in":[9,18,138,153,204],"the":[10,51,55,85,131,139,170,205,212,247,255],"setting":[11,206],"supervised":[13],"machine":[14],"learning.":[15,209],"In":[16,58,162,191],"general,":[17],"order":[19],"to":[20,30,54,105,157,222],"achieve":[21],"good":[22],"performance":[23,248],"image":[25,134,202,240,250],"classification,":[26],"it":[27],"important":[29],"select":[31],"high":[32],"quality":[33],"features":[34,48,64,135,232,238],"for":[35,122,201,239],"training":[36],"classifiers.":[37],"However,":[38],"different":[39,116,120,176],"instances":[40,52,72,125,183],"images":[42],"would":[43],"usually":[44,118],"present":[45,73],"very":[46],"diverse":[47,158],"even":[49],"if":[50],"belong":[53],"same":[56,86],"class.":[57],"other":[59,71,75,108,132],"words,":[60],"one":[61],"types":[62,76],"may":[65,89],"better":[66],"describe":[67],"some":[68,95],"instances,":[69],"whereas":[70],"more":[74],"features.":[78],"The":[79,242],"above":[80],"description":[81],"can":[82,145],"indicate":[83],"that":[84,115,126,219,246],"learning":[87,93,123,151],"algorithm":[88],"be":[90,146],"capable":[91],"from":[94,107,124,175],"parts":[96,109],"data":[99,112],"set":[100,229],"but":[101],"show":[102,119,127,245],"weaker":[103],"ability":[104],"learn":[106],"set,":[113],"given":[114],"algorithms":[117,152,174,218],"suitability":[121],"various":[128,154,185],"characteristics.":[129],"On":[130],"hand,":[133],"are":[136,220],"typically":[137],"form":[140],"continuous":[142,189],"attributes":[143],"which":[144],"handled":[147],"by":[148],"decision":[149],"tree":[150],"ways,":[155],"leading":[156],"classifiers":[159,224],"being":[160],"trained.":[161],"this":[163],"paper,":[164],"we":[165,193],"investigate":[166],"diversified":[167,180],"adoption":[168,256],"C4.5":[171],"and":[172,184],"KNN":[173],"perspectives,":[177],"such":[178],"as":[179],"use":[181],"ways":[186],"handling":[188],"attributes.":[190],"particular,":[192],"propose":[194],"multi-perspective":[196],"approach":[197,214,260],"diversity":[199],"creation":[200],"ensemble":[208,262],"We":[210],"compare":[211],"proposed":[213,259],"with":[215],"those":[216],"popular":[217],"used":[221],"train":[223],"on":[225],"either":[226],"full":[228],"original":[231],"or":[233],"subset":[235],"selected":[237],"classification.":[241],"experimental":[243],"results":[244],"encouraging":[253],"through":[254],"our":[258],"creation.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}