{"id":"https://openalex.org/W2064376873","doi":"https://doi.org/10.1109/icnc.2014.6975929","title":"Stable feature selection with ensembles of multi-reliefF","display_name":"Stable feature selection with ensembles of multi-reliefF","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2064376873","doi":"https://doi.org/10.1109/icnc.2014.6975929","mag":"2064376873"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2014.6975929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2014.6975929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Natural Computation (ICNC)","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/A5034395042","display_name":"Qifeng Zhou","orcid":"https://orcid.org/0000-0003-3583-6943"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qifeng Zhou","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767987","display_name":"Jianchao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Ding","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087872388","display_name":"Yongpeng Ning","orcid":"https://orcid.org/0000-0003-2307-3408"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongpeng Ning","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100899679","display_name":"Linkai Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linkai Luo","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, 361005 Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101802861","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-6836-7867"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China","Department of Computer Science, Xiamen University, 361005, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Computer Science, Xiamen University, 361005, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034395042"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59582735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":null,"first_page":"742","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9927999973297119,"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/feature-selection","display_name":"Feature selection","score":0.852962851524353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7379220724105835},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6655937433242798},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6554663181304932},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6061203479766846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5588130354881287},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5457108616828918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5239500999450684},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48974108695983887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4639294743537903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45653706789016724},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4533001482486725},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4247957468032837}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.852962851524353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379220724105835},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6655937433242798},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6554663181304932},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6061203479766846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5588130354881287},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5457108616828918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5239500999450684},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48974108695983887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4639294743537903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45653706789016724},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4533001482486725},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4247957468032837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2014.6975929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2014.6975929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Natural Computation (ICNC)","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":24,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W1608932033","https://openalex.org/W1966703382","https://openalex.org/W1988790447","https://openalex.org/W1989076816","https://openalex.org/W2022441134","https://openalex.org/W2032909675","https://openalex.org/W2038894244","https://openalex.org/W2051265608","https://openalex.org/W2087025987","https://openalex.org/W2087684630","https://openalex.org/W2088851040","https://openalex.org/W2100128988","https://openalex.org/W2117004913","https://openalex.org/W2121410602","https://openalex.org/W2128985829","https://openalex.org/W2154947819","https://openalex.org/W2157132621","https://openalex.org/W2159400887","https://openalex.org/W2162162988","https://openalex.org/W2165250079","https://openalex.org/W2168561598","https://openalex.org/W4212883601","https://openalex.org/W4256046779"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774","https://openalex.org/W2117019857","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Stability":[0],"of":[1,27,37,81],"feature":[2,15,28,53,61],"selection":[3,16,54,62],"from":[4],"high-dimensional":[5,86],"data":[6,88],"is":[7,76,99],"an":[8,20,50],"important":[9],"and":[10,59,67],"active":[11],"research":[12],"area.":[13],"Ensemble":[14],"has":[17],"emerged":[18],"as":[19],"effective":[21],"method":[22],"to":[23,63,68],"improve":[24,64],"the":[25,65,70,79,93,96,103],"stability":[26,66,104],"selection.":[29],"However,":[30],"it":[31],"results":[32],"in":[33,40,78],"a":[34],"significant":[35],"increase":[36],"computational":[38,71,97],"cost":[39,98],"many":[41],"real":[42],"world":[43],"applications.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"improved":[51,105],"ensemble":[52],"framework":[55,75,95],"using":[56],"random":[57,60],"sampling":[58],"reduce":[69],"cost.":[72],"The":[73],"proposed":[74,94],"implemented":[77],"context":[80],"multi-reliefF.":[82],"Experiments":[83],"on":[84],"eight":[85],"small-sample":[87],"sets":[89],"show":[90],"that":[91],"under":[92],"reduced":[100],"dramatically":[101],"while":[102],"slightly.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
