{"id":"https://openalex.org/W2294551896","doi":"https://doi.org/10.5220/0005591401670173","title":"Dynamic Feature Selection with Wrapper Model and Ensemble Approach based on Measures of Local Relevances and Group Diversity using Genetic Algorithm","display_name":"Dynamic Feature Selection with Wrapper Model and Ensemble Approach based on Measures of Local Relevances and Group Diversity using Genetic Algorithm","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294551896","doi":"https://doi.org/10.5220/0005591401670173","mag":"2294551896"},"language":"en","primary_location":{"id":"doi:10.5220/0005591401670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005591401670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005591401670173","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007796920","display_name":"Marek Kurzy\u0144ski","orcid":"https://orcid.org/0000-0002-0401-2725"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Kurzynski","raw_affiliation_strings":["Wroclaw University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Technology, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005722965","display_name":"Pawe\u0142 Trajdos","orcid":"https://orcid.org/0000-0002-4337-6847"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Trajdos","raw_affiliation_strings":["Wroclaw University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Technology, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041610088","display_name":"Maciej Krysmann","orcid":null},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Krysmann","raw_affiliation_strings":["Wroclaw University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Technology, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48056363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9937999844551086,"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":0.9937999844551086,"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/T10320","display_name":"Neural Networks and Applications","score":0.9728000164031982,"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":0.9671000242233276,"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/classifier","display_name":"Classifier (UML)","score":0.7350046038627625},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7191066741943359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513286232948303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6189043521881104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5923062562942505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5792720913887024},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5506840348243713},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4902983009815216},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4512263834476471},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41446366906166077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3676517605781555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35100752115249634}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7350046038627625},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7191066741943359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513286232948303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189043521881104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5923062562942505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5792720913887024},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5506840348243713},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4902983009815216},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4512263834476471},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41446366906166077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3676517605781555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35100752115249634},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005591401670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005591401670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005591401670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005591401670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1492130155","https://openalex.org/W1565746575","https://openalex.org/W1966455875","https://openalex.org/W2043112836","https://openalex.org/W2056168656","https://openalex.org/W2063782798","https://openalex.org/W2081361638","https://openalex.org/W2119387367","https://openalex.org/W2164627280","https://openalex.org/W2165250079","https://openalex.org/W2167101736","https://openalex.org/W2167277498","https://openalex.org/W2799061466","https://openalex.org/W2963951026","https://openalex.org/W3023540311","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2052615004","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2031651184","https://openalex.org/W2031173026","https://openalex.org/W2117265009"],"abstract_inverted_index":{"In":[0,16],"the":[1,3,17,45,65,103,123,126],"paper":[2],"novel":[4],"feature":[5,40,111,133],"selection":[6,112,134],"method,":[7],"using":[8,37,58,84,114],"wrapper":[9],"model":[10],"and":[11,43,72,129],"ensemble":[12,46,75,130],"approach,":[13],"is":[14,41,50,78],"presented.":[15],"proposed":[18,104],"method":[19,105],"features":[20,48,70,77],"are":[21,82],"selected":[22,51],"dynamically,":[23],"i.e.":[24],"separately":[25],"for":[26],"each":[27],"classified":[28],"object.":[29],"First,":[30],"a":[31,53],"set":[32],"of":[33,47,55,67,69,74,76,87,102,125],"identical":[34],"one-feature":[35],"classifiers":[36],"different":[38],"single":[39],"created":[42],"next":[44],"(classifiers)":[49],"as":[52],"solution":[54],"optimization":[56],"problem":[57],"genetic":[59],"algorithm.":[60],"As":[61],"an":[62],"optimality":[63],"criterion,":[64],"sum":[66],"measures":[68,81],"relevance":[71],"diversity":[73],"adopted.":[79],"Both":[80],"calculated":[83],"original":[85],"concept":[86],"randomized":[88],"reference":[89],"classifier,":[90],"which":[91],"on":[92],"average":[93],"acts":[94],"like":[95],"classifier":[96],"with":[97],"evaluated":[98],"feature.":[99],"The":[100,118],"performance":[101],"was":[106],"compared":[107],"against":[108],"six":[109],"state-of-art":[110],"methods":[113],"nine":[115],"benchmark":[116],"databases.":[117],"experimental":[119],"results":[120],"clearly":[121],"show":[122],"effectiveness":[124],"dynamic":[127],"mode":[128],"approach":[131],"in":[132],"procedure.":[135]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}