{"id":"https://openalex.org/W3046701077","doi":"https://doi.org/10.1145/3377929.3398168","title":"Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets","display_name":"Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046701077","doi":"https://doi.org/10.1145/3377929.3398168","mag":"3046701077"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3398168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3398168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5025231703","display_name":"Antonio J. Tall\u00f3n\u2010Ballesteros","orcid":"https://orcid.org/0000-0002-9699-1894"},"institutions":[{"id":"https://openalex.org/I78880903","display_name":"Universidad de Huelva","ror":"https://ror.org/03a1kt624","country_code":"ES","type":"education","lineage":["https://openalex.org/I78880903"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Antonio J. Tall\u00f3n-Ballesteros","raw_affiliation_strings":["University of Huelva, Huelva, Spain"],"affiliations":[{"raw_affiliation_string":"University of Huelva, Huelva, Spain","institution_ids":["https://openalex.org/I78880903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103148096","display_name":"Tengyue Li","orcid":"https://orcid.org/0000-0003-0241-6715"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Tengyue Li","raw_affiliation_strings":["University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086422507","display_name":"Simon Fong","orcid":"https://orcid.org/0000-0002-1848-7246"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Simon Fong","raw_affiliation_strings":["University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025231703"],"corresponding_institution_ids":["https://openalex.org/I78880903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07049321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9656000137329102,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9613000154495239,"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/feature-selection","display_name":"Feature selection","score":0.7656209468841553},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6842139363288879},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6681976318359375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591091156005859},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6207255721092224},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6138368844985962},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6121932864189148},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5770096778869629},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5426495671272278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48204144835472107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4596710801124573},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42368248105049133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4030628800392151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40219858288764954},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07803577184677124}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7656209468841553},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6842139363288879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6681976318359375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591091156005859},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6207255721092224},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6138368844985962},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6121932864189148},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5770096778869629},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5426495671272278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48204144835472107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4596710801124573},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42368248105049133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4030628800392151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40219858288764954},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07803577184677124},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3398168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3398168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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":2,"referenced_works":["https://openalex.org/W2345370264","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W3004057759","https://openalex.org/W2889085215","https://openalex.org/W2914806737","https://openalex.org/W2959160600","https://openalex.org/W2998216295","https://openalex.org/W33196642","https://openalex.org/W2611743072","https://openalex.org/W3204182506","https://openalex.org/W4297427155"],"abstract_inverted_index":{"This":[0],"contribution":[1],"introduces":[2],"a":[3,15,22,27,50,67,126],"new":[4],"approach":[5,36,55],"for":[6],"the":[7,11,43,53,58,63,79,89,93,104,112,123,130,133],"quality":[8],"enhancement":[9],"of":[10,39,45,62,81,114],"solutions":[12],"reached":[13],"by":[14],"stochastic":[16],"feature":[17,30,90,94,134],"subset":[18,31,95],"selection":[19,96],"procedure":[20,105],"using":[21],"scatter":[23,34],"search":[24,35,64],"algorithm":[25,29],"via":[26],"genetic-based":[28],"selector.":[32],"The":[33,117],"makes":[37],"use":[38],"correlation":[40],"measures":[41],"in":[42,49,122,132],"context":[44],"classification":[46,82],"algorithms":[47],"and":[48,60,110,129],"natural":[51],"way":[52],"genetic":[54],"does":[56],"also":[57],"exploration":[59],"exploitation":[61],"space":[65,135],"through":[66],"correlation-based":[68],"metric.":[69],"It":[70],"is":[71,99,107,111,136],"said":[72],"that":[73],"data":[74],"preparation":[75],"helps":[76],"to":[77,87],"improve":[78],"effectivity":[80],"models":[83],"as":[84,86],"well":[85],"reduce":[88],"space.":[91],"Additionally,":[92],"application":[97],"once":[98],"very":[100,137],"common":[101],"though":[102],"doing":[103],"twice":[106],"less":[108],"frequent":[109],"scenario":[113],"this":[115],"paper.":[116],"results":[118],"are":[119],"better":[120],"than":[121],"proposal":[124],"with":[125],"single":[127],"meta-heuristic":[128],"reduction":[131],"appealing.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
