{"id":"https://openalex.org/W2978961230","doi":"https://doi.org/10.3233/jifs-190261","title":"MIPCNF: Multi-iterative partitioning class noise filter","display_name":"MIPCNF: Multi-iterative partitioning class noise filter","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2978961230","doi":"https://doi.org/10.3233/jifs-190261","mag":"2978961230"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-190261","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190261","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5040168616","display_name":"Btissam Zerhari","orcid":"https://orcid.org/0000-0003-1921-743X"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Btissam Zerhari","raw_affiliation_strings":["LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080376355","display_name":"Ayoub Ait Lahcen","orcid":"https://orcid.org/0000-0001-8739-3369"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]},{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ayoub Ait Lahcen","raw_affiliation_strings":["LGS, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra, Morocco","LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LGS, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]},{"raw_affiliation_string":"LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077605859","display_name":"Salma Mouline","orcid":"https://orcid.org/0000-0003-0417-8968"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Salma Mouline","raw_affiliation_strings":["LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"LRIT, Associated Unit to CNRST-URAC no. 29, Faculty of Science, Rabat IT Center, Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040168616"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66168856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":"5","first_page":"6761","last_page":"6772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"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":0.9955999851226807,"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":0.6752024292945862},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6298103928565979},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6057546138763428},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5421276092529297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3446715474128723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26081782579421997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14291167259216309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6752024292945862},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6298103928565979},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6057546138763428},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5421276092529297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3446715474128723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26081782579421997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14291167259216309},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-190261","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190261","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W41502859","https://openalex.org/W1502674064","https://openalex.org/W1537489869","https://openalex.org/W1565250151","https://openalex.org/W1571437287","https://openalex.org/W1572720249","https://openalex.org/W1594451427","https://openalex.org/W1596345407","https://openalex.org/W1666942233","https://openalex.org/W1667009198","https://openalex.org/W1759994076","https://openalex.org/W1768290534","https://openalex.org/W1873332500","https://openalex.org/W1898031563","https://openalex.org/W1979641069","https://openalex.org/W2006627391","https://openalex.org/W2012243161","https://openalex.org/W2020926105","https://openalex.org/W2022479766","https://openalex.org/W2030738209","https://openalex.org/W2034841618","https://openalex.org/W2037851654","https://openalex.org/W2053372736","https://openalex.org/W2061240327","https://openalex.org/W2079788575","https://openalex.org/W2088517004","https://openalex.org/W2097645005","https://openalex.org/W2103914106","https://openalex.org/W2105497548","https://openalex.org/W2107686700","https://openalex.org/W2122496402","https://openalex.org/W2122646361","https://openalex.org/W2124104513","https://openalex.org/W2125951032","https://openalex.org/W2129281431","https://openalex.org/W2132870739","https://openalex.org/W2144182447","https://openalex.org/W2149706766","https://openalex.org/W2150667285","https://openalex.org/W2153908768","https://openalex.org/W2164873210","https://openalex.org/W2167460663","https://openalex.org/W2168118654","https://openalex.org/W2182722412","https://openalex.org/W2187013920","https://openalex.org/W2295240344","https://openalex.org/W2500519874","https://openalex.org/W2534543322","https://openalex.org/W2794034151","https://openalex.org/W2885136026","https://openalex.org/W2887766395","https://openalex.org/W2899523213","https://openalex.org/W2911579430","https://openalex.org/W2950269262","https://openalex.org/W3100570787","https://openalex.org/W3120740533","https://openalex.org/W3142880803","https://openalex.org/W4235456164","https://openalex.org/W4236137412","https://openalex.org/W4285719527","https://openalex.org/W6601696430","https://openalex.org/W6639540558","https://openalex.org/W6672393330","https://openalex.org/W6678507914"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2372895414","https://openalex.org/W303980170","https://openalex.org/W2351491280","https://openalex.org/W2386767533","https://openalex.org/W2371447506","https://openalex.org/W2333698505","https://openalex.org/W2113644136","https://openalex.org/W2367330275","https://openalex.org/W1985622079"],"abstract_inverted_index":{"Attribute":[0],"and":[1,21,56,72,98,140,150,171],"class":[2,38,60,74,115,168],"noises":[3],"are":[4,42,118],"the":[5,35,57,124,161],"two":[6],"important":[7],"sources":[8],"of":[9,59,102,114,123,177],"Corruptions":[10],"(noise)":[11],"contained":[12],"in":[13,94,99,110,174],"real-world":[14,148],"datasets":[15],"which":[16,111],"may":[17],"deteriorate":[18],"data":[19,125],"interpretation":[20],"accuracy.":[22],"Class":[23,79],"noise":[24,39,66,116,136,163,169],"has":[25],"potentially":[26],"serious":[27],"negative":[28],"impacts":[29],"compared":[30],"to":[31,45,54,70],"attribute":[32],"noise,":[33,61,75,103],"however,":[34],"existing":[36],"major":[37],"detection":[40,55,117,170],"methods":[41],"not":[43,158],"able":[44,69],"address":[46],"this":[47],"problem":[48],"efficiently.":[49],"To":[50],"overcome":[51],"issues":[52],"related":[53],"elimination":[58,172],"we":[62,130],"suggest":[63],"a":[64],"new":[65],"filtering":[67,133],"approach":[68,105],"identify":[71],"remove":[73],"called":[76],"Multi-Iterative":[77],"Partitioning":[78],"Noise":[80],"Filter":[81],"(MIPCNF).":[82],"Since":[83],"there":[84],"is":[85,157],"no":[86],"single":[87],"filter":[88,139],"that":[89,154],"consistently":[90],"outperforms":[91],"its":[92],"counterparts":[93],"all":[95],"database":[96],"types":[97],"different":[100,121,132,175],"levels":[101,176],"our":[104,155],"relies":[106],"on":[107,120,146],"an":[108],"algorithm":[109],"several":[112,127],"rounds":[113],"performed":[119],"partitions":[122],"using":[126],"classifiers.":[128],"Therefore,":[129],"use":[131],"strategies:":[134],"iterative":[135],"filter,":[137],"partitioning":[138],"ensemble-based":[141],"filter.":[142],"The":[143],"experimental":[144],"results,":[145],"14":[147],"datasets,":[149],"statistical":[151],"analysis,":[152],"show":[153],"method":[156],"only":[159],"overcoming":[160],"higher":[162],"but":[164],"also":[165],"over-performing":[166],"latest":[167],"strategies":[173],"noise.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
