{"id":"https://openalex.org/W4281743472","doi":"https://doi.org/10.1145/3529399.3529437","title":"Coevolution and learning symbolic concepts: statistical validation","display_name":"Coevolution and learning symbolic concepts: statistical validation","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4281743472","doi":"https://doi.org/10.1145/3529399.3529437"},"language":"en","primary_location":{"id":"doi:10.1145/3529399.3529437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3529399.3529437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3529399.3529437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3529399.3529437","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064499030","display_name":"Filippo Neri","orcid":"https://orcid.org/0000-0002-2529-2287"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Filippo Neri","raw_affiliation_strings":["DIETI, University of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University of Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064499030"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70017069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"244","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9959999918937683,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9959999918937683,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9825999736785889,"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/computer-science","display_name":"Computer science","score":0.734889030456543},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.6614062190055847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581478118896484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5796639323234558},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.5408942699432373},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45334598422050476},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.42928194999694824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1385480761528015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734889030456543},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.6614062190055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581478118896484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5796639323234558},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.5408942699432373},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45334598422050476},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.42928194999694824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1385480761528015},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529399.3529437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3529399.3529437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3529399.3529437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3529399.3529437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3529399.3529437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3529399.3529437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281743472.pdf","grobid_xml":"https://content.openalex.org/works/W4281743472.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1605688901","https://openalex.org/W1692367225","https://openalex.org/W1968221505","https://openalex.org/W2040009164","https://openalex.org/W2112824158","https://openalex.org/W2114876377","https://openalex.org/W2117564498","https://openalex.org/W2129825726","https://openalex.org/W2143902013","https://openalex.org/W2335322260","https://openalex.org/W2561675875","https://openalex.org/W2793901280","https://openalex.org/W2946909103","https://openalex.org/W2962683658","https://openalex.org/W3164843234","https://openalex.org/W3196913544","https://openalex.org/W3209766321","https://openalex.org/W6632223008","https://openalex.org/W7017215423"],"related_works":["https://openalex.org/W3144412313","https://openalex.org/W2634235285","https://openalex.org/W2492504662","https://openalex.org/W2122994901","https://openalex.org/W2942642331","https://openalex.org/W200599908","https://openalex.org/W2020991882","https://openalex.org/W2164185151","https://openalex.org/W4389610483","https://openalex.org/W3029360881"],"abstract_inverted_index":{"The":[0],"paper":[1,64],"reports":[2],"an":[3],"empirical":[4],"study":[5],"done":[6],"to":[7,28,117,138],"statistically":[8],"validate":[9],"the":[10,18,21,29,63,68,78,93,98,107,131],"preliminary":[11],"findings":[12],"obtained":[13,80],"in":[14,40],"previous":[15],"research":[16],"by":[17,81,97],"author":[19],"on":[20],"small":[22],"disjunct":[23],"problem.":[24],"Thus":[25,89],"additional":[26],"support":[27],"working":[30],"hypothesis":[31],"that":[32,45,110,130],"cooperative":[33],"evolution":[34],"(co-evolution)":[35],"can":[36,50,91,135],"be":[37,136],"successfully":[38],"applied":[39,137],"learning":[41,75,84,102,113,140],"symbolic":[42,119],"concepts":[43],"and":[44,114],"co-evolution":[46],"when":[47],"carefully":[48],"exploited":[49],"produce":[51],"more":[52],"robust":[53],"classification":[54],"rule":[55],"(symbolic":[56],"concepts)":[57],"with":[58,77],"higher":[59],"statistical":[60],"validity.":[61],"In":[62],"we":[65,90,104,128],"will":[66,105],"compare":[67],"effect":[69,95],"of":[70,125],"applying":[71],"a":[72,83,122],"specific":[73],"co-evolutive":[74,133],"strategy":[76,134],"results":[79],"running":[82],"system":[85,108],"without":[86],"any":[87],"coevolution.":[88],"measure":[92],"add-on":[94],"produced":[96],"coevolutive":[99],"strategy.":[100],"As":[101,121],"systems":[103],"use":[106],"REGAL":[109],"combines":[111],"distributed":[112],"genetic":[115],"algorithms":[116],"find":[118],"classifiers.":[120],"future":[123],"extension":[124],"this":[126],"research,":[127],"note":[129],"described":[132],"other":[139],"methods.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}