{"id":"https://openalex.org/W3090105837","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206966","title":"Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification","display_name":"Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090105837","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206966","mag":"3090105837"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11573/1453658","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009272965","display_name":"Mauro Giampieri","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mauro Giampieri","raw_affiliation_strings":["Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012156296","display_name":"Luca Baldini","orcid":"https://orcid.org/0000-0003-4391-2598"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Baldini","raw_affiliation_strings":["Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020616232","display_name":"Enrico De Santis","orcid":"https://orcid.org/0000-0003-4915-0723"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico De Santis","raw_affiliation_strings":["Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025282612","display_name":"Antonello Rizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonello Rizzi","raw_affiliation_strings":["Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \"La Sapienza\", Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009272965"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63552824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983000159263611,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983000159263611,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9983000159263611,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.998199999332428,"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":0.7589133977890015},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7237621545791626},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6859235763549805},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.5734843015670776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49843263626098633},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4664912223815918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4627191424369812},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.43811294436454773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3632647395133972},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32624608278274536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17662835121154785},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11384186148643494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10625356435775757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7589133977890015},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7237621545791626},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6859235763549805},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.5734843015670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49843263626098633},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4664912223815918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4627191424369812},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43811294436454773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3632647395133972},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32624608278274536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17662835121154785},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11384186148643494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10625356435775757},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1453658","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1453658","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/1453658","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1453658","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W105379577","https://openalex.org/W1103274515","https://openalex.org/W1547566968","https://openalex.org/W1728822304","https://openalex.org/W1908542218","https://openalex.org/W1944564826","https://openalex.org/W1988383064","https://openalex.org/W2008874887","https://openalex.org/W2015966799","https://openalex.org/W2034453739","https://openalex.org/W2107544712","https://openalex.org/W2127525710","https://openalex.org/W2142288012","https://openalex.org/W2142619464","https://openalex.org/W2150637221","https://openalex.org/W2163015271","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2267437282","https://openalex.org/W2339288948","https://openalex.org/W2345781629","https://openalex.org/W2396239035","https://openalex.org/W2564330218","https://openalex.org/W2769842586","https://openalex.org/W2798507843","https://openalex.org/W2884223522","https://openalex.org/W2884481886","https://openalex.org/W2897525790","https://openalex.org/W2897941761","https://openalex.org/W2947195196","https://openalex.org/W2958649520","https://openalex.org/W2977791469","https://openalex.org/W3023540311","https://openalex.org/W3178436480","https://openalex.org/W4231461647","https://openalex.org/W6637735977","https://openalex.org/W6687322159","https://openalex.org/W6693636304","https://openalex.org/W6704900051","https://openalex.org/W6755964322","https://openalex.org/W6798646794"],"related_works":["https://openalex.org/W4247094814","https://openalex.org/W2352794675","https://openalex.org/W2391321755","https://openalex.org/W108531593","https://openalex.org/W8810113","https://openalex.org/W2896134808","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2158636562","https://openalex.org/W4390608645"],"abstract_inverted_index":{"Multi-agent":[0],"systems":[1],"recently":[2],"gained":[3],"a":[4,35,49,79,86],"lot":[5],"of":[6,53,78,135],"attention":[7],"for":[8,58],"solving":[9],"machine":[10],"learning":[11],"and":[12,70,137],"data":[13],"mining":[14],"problems.":[15],"Furthermore,":[16,97],"their":[17,104],"peculiar":[18],"divide-and-conquer":[19],"approach":[20],"is":[21,74,106,123],"appealing":[22],"when":[23,140],"large":[24,42,128],"datasets":[25,43],"have":[26],"to":[27,40,83,125],"be":[28],"analyzed.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"multi-agent":[36],"classification":[37],"system":[38],"able":[39,82,124],"tackle":[41],"where":[44,64],"each":[45],"agent":[46],"independently":[47,101],"explores":[48],"random":[50],"small":[51],"portion":[52],"the":[54,115],"overall":[55],"dataset,":[56],"searching":[57],"meaningful":[59,90],"clusters":[60,91],"in":[61,85,94,133],"proper":[62],"subspaces":[63],"they":[65],"are":[66],"well-formed":[67],"(i.e.,":[68],"compact":[69],"populated).":[71],"This":[72],"search":[73],"orchestrated":[75],"by":[76],"means":[77],"genetic":[80],"algorithm":[81],"act":[84],"multi-modal":[87],"fashion,":[88],"since":[89,98],"might":[92],"lie":[93],"different":[95,109],"subspaces.":[96],"agents":[99],"operate":[100],"one":[102],"another,":[103],"execution":[105],"parallelized":[107],"across":[108],"computational":[110],"units.":[111],"Tests":[112],"show":[113],"that":[114],"proposed":[116],"algorithm,":[117],"E-ABC":[118],"<sup":[119],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[121],",":[122],"deal":[126],"with":[127,142],"datasets,":[129],"returning":[130],"satisfactory":[131],"results":[132],"terms":[134],"scalability":[136],"performances,":[138],"especially":[139],"compared":[141],"our":[143],"previous":[144],"baseline":[145],"versions.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
