{"id":"https://openalex.org/W3083914941","doi":"https://doi.org/10.1155/2020/8860044","title":"Statistical Analysis of the Performance of Rank Fusion Methods Applied to a Homogeneous Ensemble Feature Ranking","display_name":"Statistical Analysis of the Performance of Rank Fusion Methods Applied to a Homogeneous Ensemble Feature Ranking","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3083914941","doi":"https://doi.org/10.1155/2020/8860044","mag":"3083914941"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8860044","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8860044","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8860044.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2020/8860044.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010857378","display_name":"Majid Soheili","orcid":"https://orcid.org/0000-0002-9689-6184"},"institutions":[{"id":"https://openalex.org/I197220011","display_name":"Qazvin Islamic Azad University","ror":"https://ror.org/023kjn321","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I197220011"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Majid Soheili","raw_affiliation_strings":["Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"],"raw_orcid":"https://orcid.org/0000-0002-9689-6184","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran","institution_ids":["https://openalex.org/I197220011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069915567","display_name":"Amir Masoud Eftekhari Moghadam","orcid":"https://orcid.org/0000-0003-3413-0607"},"institutions":[{"id":"https://openalex.org/I197220011","display_name":"Qazvin Islamic Azad University","ror":"https://ror.org/023kjn321","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I197220011"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Amir-Masoud Eftekhari Moghadam","raw_affiliation_strings":["Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"],"raw_orcid":"https://orcid.org/0000-0003-3413-0607","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran","institution_ids":["https://openalex.org/I197220011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115588390","display_name":"Mehdi Dehghan","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Dehghan","raw_affiliation_strings":["Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069915567"],"corresponding_institution_ids":["https://openalex.org/I197220011"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.1962,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.50221074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9718000292778015,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.620755672454834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5916808247566223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5864798426628113},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5682693719863892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.552157461643219},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.515308141708374},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.511303186416626},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4807541072368622},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4721422493457794},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4520265758037567},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41610461473464966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3907696008682251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36320123076438904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32886993885040283}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620755672454834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5916808247566223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5864798426628113},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5682693719863892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.552157461643219},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.515308141708374},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.511303186416626},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4807541072368622},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4721422493457794},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4520265758037567},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41610461473464966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3907696008682251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36320123076438904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32886993885040283},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":3,"locations":[{"id":"doi:10.1155/2020/8860044","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8860044","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8860044.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5330d4086224ad4a8d783b809114a24","is_oa":false,"landing_page_url":"https://doaj.org/article/f5330d4086224ad4a8d783b809114a24","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2020/8860044","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8860044","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2020/8860044","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/8860044","pdf_url":"https://downloads.hindawi.com/journals/sp/2020/8860044.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083914941.pdf","grobid_xml":"https://content.openalex.org/works/W3083914941.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1160180507","https://openalex.org/W1500895378","https://openalex.org/W1528493411","https://openalex.org/W1964042173","https://openalex.org/W1971005895","https://openalex.org/W1974136583","https://openalex.org/W1974186662","https://openalex.org/W1975664724","https://openalex.org/W2009272467","https://openalex.org/W2025887164","https://openalex.org/W2047372650","https://openalex.org/W2061553036","https://openalex.org/W2068833644","https://openalex.org/W2083666679","https://openalex.org/W2086314533","https://openalex.org/W2089898582","https://openalex.org/W2090702536","https://openalex.org/W2091858563","https://openalex.org/W2102831150","https://openalex.org/W2117004913","https://openalex.org/W2118514362","https://openalex.org/W2119387367","https://openalex.org/W2119869458","https://openalex.org/W2132166479","https://openalex.org/W2143426320","https://openalex.org/W2146511318","https://openalex.org/W2149775297","https://openalex.org/W2153513849","https://openalex.org/W2220660951","https://openalex.org/W2284862136","https://openalex.org/W2293600471","https://openalex.org/W2466939964","https://openalex.org/W2511481201","https://openalex.org/W2550093240","https://openalex.org/W2575552627","https://openalex.org/W2587631528","https://openalex.org/W2588659412","https://openalex.org/W2598849564","https://openalex.org/W2604291697","https://openalex.org/W2608839702","https://openalex.org/W2611743072","https://openalex.org/W2621110502","https://openalex.org/W2761212090","https://openalex.org/W2767079746","https://openalex.org/W2769023607","https://openalex.org/W2785172785","https://openalex.org/W2887681133","https://openalex.org/W2899274556","https://openalex.org/W2911964244","https://openalex.org/W2916168844","https://openalex.org/W2922304187","https://openalex.org/W2948009788","https://openalex.org/W2961011444","https://openalex.org/W2963070829","https://openalex.org/W2963100393","https://openalex.org/W2995013516","https://openalex.org/W3101080475","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2474028989","https://openalex.org/W2905156999","https://openalex.org/W2145188897","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3023033471","https://openalex.org/W3135046080","https://openalex.org/W2809161969","https://openalex.org/W2284199375"],"abstract_inverted_index":{"The":[0,32,105],"feature":[1,8,87,155],"ranking":[2,88],"as":[3],"a":[4,20,28,54,77,84,152,161,169],"subcategory":[5],"of":[6,19,30,60,132,145],"the":[7,44,58,93,116,119,126,143,146,165],"selection":[9],"is":[10,66,71,90,123,138,160],"an":[11,67],"essential":[12],"preprocessing":[13],"technique":[14],"that":[15,23,46,70,136],"ranks":[16],"all":[17],"features":[18,26],"dataset":[21],"such":[22],"many":[24],"important":[25],"denote":[27],"lot":[29],"information.":[31],"ensemble":[33,86,154],"learning":[34],"has":[35,40,168],"two":[36],"advantages.":[37],"First,":[38],"it":[39],"been":[41],"based":[42],"on":[43,110],"assumption":[45],"combining":[47],"different":[48],"model\u2019s":[49],"output":[50,59],"can":[51],"lead":[52],"to":[53],"better":[55,171],"outcome":[56],"than":[57],"any":[61],"individual":[62],"models.":[63],"Second,":[64],"scalability":[65],"intrinsic":[68],"characteristic":[69],"so":[72],"crucial":[73],"in":[74,99,142,151],"coping":[75],"with":[76],"large":[78],"scale":[79],"dataset.":[80],"In":[81],"this":[82,100,158],"paper,":[83],"homogeneous":[85,153],"algorithm":[89,101],"considered,":[91],"and":[92,115,164],"nine":[94],"rank":[95,147],"fusion":[96,148],"methods":[97,149],"used":[98],"are":[102,108],"analyzed":[103],"comparatively.":[104],"experimental":[106],"studies":[107],"performed":[109],"real":[111],"six":[112],"medium":[113],"datasets,":[114],"area":[117],"under":[118],"feature-forward-addition":[120],"curve":[121],"criterion":[122],"assessed.":[124],"Finally,":[125],"statistical":[127,162],"analysis":[128,131],"by":[129],"repeated-measures":[130],"variance":[133],"results":[134],"reveals":[135],"there":[137],"no":[139],"big":[140],"difference":[141,159],"performance":[144],"applied":[150],"ranking;":[156],"however,":[157],"significance,":[163],"B-Min":[166],"method":[167],"little":[170],"performance.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}