{"id":"https://openalex.org/W4391912914","doi":"https://doi.org/10.1145/3583131.3590457","title":"Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification","display_name":"Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4391912914","doi":"https://doi.org/10.1145/3583131.3590457"},"language":"en","primary_location":{"id":"doi:10.1145/3583131.3590457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583131.3590457","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5044057928","display_name":"Marcel Wever","orcid":"https://orcid.org/0000-0001-9782-6818"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marcel Wever","raw_affiliation_strings":["LMU Munich, Munich, Germany","Munich Center for Machine Learning, Munich, Germany","Munich Center for Machine Learning, Munich, Germany LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I4403386549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103177518","display_name":"Miran \u00d6zdogan","orcid":"https://orcid.org/0009-0002-4901-1547"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miran \u00d6zdogan","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059439673","display_name":"Eyke H\u00fcllermeier","orcid":"https://orcid.org/0000-0002-9944-4108"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eyke H\u00fcllermeier","raw_affiliation_strings":["LMU Munich, Munich, Germany","Munich Center for Machine Learning, Munich, Germany","Munich Center for Machine Learning, Munich, Germany LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I4403386549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044057928"],"corresponding_institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I4403386549","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1832379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"597","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958000183105469,"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/dichotomy","display_name":"Dichotomy","score":0.775476336479187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083018779754639},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6056603193283081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.384468138217926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16021186113357544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05853810906410217}],"concepts":[{"id":"https://openalex.org/C59462968","wikidata":"https://www.wikidata.org/wiki/Q10361123","display_name":"Dichotomy","level":2,"score":0.775476336479187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083018779754639},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6056603193283081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.384468138217926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16021186113357544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05853810906410217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583131.3590457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583131.3590457","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1557245913","https://openalex.org/W1975226518","https://openalex.org/W2097477220","https://openalex.org/W2102539288","https://openalex.org/W2108949035","https://openalex.org/W2126105956","https://openalex.org/W2141062690","https://openalex.org/W2148771442","https://openalex.org/W2270939945","https://openalex.org/W2774185825","https://openalex.org/W2809880372","https://openalex.org/W2809939257","https://openalex.org/W2886711781","https://openalex.org/W2890466855","https://openalex.org/W2894644683","https://openalex.org/W2933446623","https://openalex.org/W2962809534","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2042568131","https://openalex.org/W2584283278","https://openalex.org/W2075584520","https://openalex.org/W2118769481","https://openalex.org/W2133813741","https://openalex.org/W258139707","https://openalex.org/W2040203207","https://openalex.org/W2795906962"],"abstract_inverted_index":{"In":[0],"multi-class":[1],"classification,":[2],"it":[3],"can":[4,40],"be":[5,41],"beneficial":[6],"to":[7,80,88,115],"decompose":[8],"a":[9,47,54,59,85],"learning":[10],"problem":[11],"into":[12,99],"several":[13],"simpler":[14],"problems.":[15],"One":[16],"such":[17,35,67],"reduction":[18],"technique":[19],"is":[20],"the":[21,30,37,44,64,91],"use":[22],"of":[23,32,46,66,93,118],"so-called":[24],"nested":[25,68,94,119],"dichotomies,":[26],"which":[27,102],"recursively":[28],"bisect":[29],"set":[31],"possible":[33],"classes":[34],"that":[36],"resulting":[38],"subsets":[39],"arranged":[42],"in":[43,126],"form":[45],"binary":[48,55],"tree,":[49],"where":[50],"each":[51],"split":[52],"defines":[53],"classification":[56],"problem.":[57],"Recently,":[58],"genetic":[60],"algorithm":[61],"for":[62],"optimizing":[63],"structure":[65,92],"dichotomies":[69,95,120],"has":[70],"achieved":[71],"state-of-the-art":[72],"results.":[73],"Motivated":[74],"by":[75],"its":[76],"success,":[77],"we":[78,107],"propose":[79],"extend":[81],"this":[82,113],"approach":[83,114],"using":[84],"co-evolutionary":[86],"scheme":[87],"optimize":[89],"both":[90],"and":[96],"their":[97],"composition":[98],"ensembles":[100,117],"through":[101],"they":[103],"are":[104],"evaluated.":[105],"Furthermore,":[106],"present":[108],"an":[109,131],"experimental":[110],"study":[111],"showing":[112],"yield":[116],"at":[121],"substantially":[122],"lower":[123],"cost":[124],"and,":[125],"some":[127],"cases,":[128],"even":[129],"with":[130],"improved":[132],"generalization":[133],"performance.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}