{"id":"https://openalex.org/W4399768923","doi":"https://doi.org/10.1109/tpami.2024.3416196","title":"Many-Objective Jaccard-Based Evolutionary Feature Selection for High-Dimensional Imbalanced Data Classification","display_name":"Many-Objective Jaccard-Based Evolutionary Feature Selection for High-Dimensional Imbalanced Data Classification","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399768923","doi":"https://doi.org/10.1109/tpami.2024.3416196","pmid":"https://pubmed.ncbi.nlm.nih.gov/38889033"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3416196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3416196","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5083263722","display_name":"Hassan Saadatmand","orcid":"https://orcid.org/0000-0002-1767-8681"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"H. Saadatmand","raw_affiliation_strings":["Department of Electrical Engineering, Center of Excellence on Soft Computing, and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Center of Excellence on Soft Computing, and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026330809","display_name":"Mohammad-R. Akbarzadeh-T","orcid":"https://orcid.org/0000-0001-5626-5559"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad-R. Akbarzadeh-T","raw_affiliation_strings":["Department of Electrical Engineering, Center of Excellence on Soft Computing, and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Center of Excellence on Soft Computing, and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083263722"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":6.7335,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9723164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"46","issue":"12","first_page":"8820","last_page":"8835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9923999905586243,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9923999905586243,"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/jaccard-index","display_name":"Jaccard index","score":0.764815092086792},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7083315849304199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567255258560181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560914516448975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5835695862770081},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5498074889183044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49246200919151306},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.42502644658088684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3772525191307068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35349947214126587}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.764815092086792},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7083315849304199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567255258560181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560914516448975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5835695862770081},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5498074889183044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49246200919151306},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42502644658088684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3772525191307068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35349947214126587},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1109/tpami.2024.3416196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3416196","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38889033","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38889033","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W127422473","https://openalex.org/W1418108976","https://openalex.org/W1500895378","https://openalex.org/W1964042173","https://openalex.org/W1975580029","https://openalex.org/W1999318832","https://openalex.org/W2013885787","https://openalex.org/W2019683663","https://openalex.org/W2022485595","https://openalex.org/W2040895929","https://openalex.org/W2086208228","https://openalex.org/W2091007025","https://openalex.org/W2100253618","https://openalex.org/W2112912151","https://openalex.org/W2113242816","https://openalex.org/W2122111042","https://openalex.org/W2144521456","https://openalex.org/W2148830179","https://openalex.org/W2153654820","https://openalex.org/W2154053567","https://openalex.org/W2165888424","https://openalex.org/W2343601797","https://openalex.org/W2487361970","https://openalex.org/W2540352327","https://openalex.org/W2548307244","https://openalex.org/W2639370877","https://openalex.org/W2752162157","https://openalex.org/W2764251381","https://openalex.org/W2775194089","https://openalex.org/W2781560769","https://openalex.org/W2798869704","https://openalex.org/W2888338796","https://openalex.org/W2890843359","https://openalex.org/W2897301007","https://openalex.org/W2898901176","https://openalex.org/W2910351322","https://openalex.org/W2949311145","https://openalex.org/W2951072626","https://openalex.org/W2997323475","https://openalex.org/W3004565805","https://openalex.org/W3014846929","https://openalex.org/W3034712888","https://openalex.org/W3048981013","https://openalex.org/W3082583002","https://openalex.org/W3087055935","https://openalex.org/W3087374048","https://openalex.org/W3117433863","https://openalex.org/W3135364772","https://openalex.org/W3195222256","https://openalex.org/W3199080767","https://openalex.org/W4200120532","https://openalex.org/W4225897724","https://openalex.org/W4226076932","https://openalex.org/W4293258846","https://openalex.org/W4297546873","https://openalex.org/W4312405956","https://openalex.org/W4315648720","https://openalex.org/W4323644264","https://openalex.org/W4324290412","https://openalex.org/W4360616010","https://openalex.org/W4367674037","https://openalex.org/W4383220521","https://openalex.org/W4384007706","https://openalex.org/W6633497745"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Filters":[0],"and":[1,39,71,96,101,111,159,167,188],"wrappers":[2],"represent":[3],"two":[4],"mainstream":[5],"approaches":[6],"to":[7,25,136],"feature":[8,164],"selection":[9],"(FS).":[10],"Although":[11],"evolutionary":[12,62,69],"wrapper-based":[13],"FS":[14,65,70,134],"outperforms":[15],"filters":[16],"in":[17,59],"addressing":[18,67],"real-world":[19],"classification":[20],"problems,":[21,147],"extending":[22],"these":[23,83],"methods":[24,143],"high-dimensional,":[26],"many-objective":[27,63,133],"optimization":[28],"problems":[29],"with":[30,116,127,141,162,186,190],"imbalanced":[31,72,138],"data":[32],"poses":[33],"substantial":[34],"challenges.":[35],"Overcoming":[36],"computational":[37,168],"costs":[38],"identifying":[40],"suitable":[41],"performance":[42],"metrics":[43,161,193],"are":[44],"vital":[45],"for":[46,114],"navigating":[47],"search":[48],"operation":[49,185],"complexities.":[50],"Here,":[51],"we":[52],"propose":[53],"using":[54],"the":[55,79,174,182,195],"Jaccard":[56],"similarity":[57],"(JS)":[58],"a":[60,122,132],"set-based":[61,106,183],"(JSEMO)":[64],"search,":[66],"both":[68],"classifier":[73,126],"choice":[74],"concurrently.":[75],"This":[76],"study":[77,172],"highlights":[78],"mutual":[80],"influence":[81],"between":[82],"aspects,":[84],"impacting":[85],"overall":[86,155],"algorithm":[87],"performance.":[88],"JSEMO":[89,148,179],"integrates":[90],"JS":[91,187],"into":[92],"population":[93],"initialization,":[94],"reproduction,":[95],"elitism":[97],"steps,":[98],"enhancing":[99],"diversity":[100],"avoiding":[102],"duplicate":[103],"solutions.":[104],"The":[105,170],"variation":[107,184],"operator":[108],"utilizes":[109],"intersection":[110],"union":[112],"operators":[113],"compatibility":[115],"binary":[117],"coding.":[118],"We":[119],"also":[120],"introduce":[121],"double-weighted":[123],"KNN":[124],"(KNN2W)":[125],"four":[128],"supportive":[129],"objectives":[130],"as":[131,194],"problem":[135],"handle":[137],"distributions.":[139],"Compared":[140],"20":[142],"on":[144],"15":[145],"benchmark":[146],"produces":[149],"distinct":[150],"optimal":[151],"features,":[152],"significantly":[153],"improving":[154],"accuracy,":[156,158],"balance":[157],"g-mean":[160],"comparable":[163],"set":[165],"size":[166],"cost.":[169],"ablation":[171],"underscores":[173],"positive":[175],"impact":[176],"of":[177],"all":[178],"components,":[180],"highlighting":[181],"KNN2W":[189],"relevant":[191],"evaluation":[192],"most":[196],"influential":[197],"aspects.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
