{"id":"https://openalex.org/W4412197288","doi":"https://doi.org/10.1007/s42979-025-04056-4","title":"Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers","display_name":"Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers","publication_year":2025,"publication_date":"2025-07-11","ids":{"openalex":"https://openalex.org/W4412197288","doi":"https://doi.org/10.1007/s42979-025-04056-4"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-025-04056-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-025-04056-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-025-04056-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-025-04056-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061030687","display_name":"Rui P. Cardoso","orcid":"https://orcid.org/0000-0002-8616-8482"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Rui P. Cardoso","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006992974","display_name":"Emma Hart","orcid":"https://orcid.org/0000-0002-5405-4413"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emma Hart","raw_affiliation_strings":["Department of Computing, Edinburgh Napier University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Edinburgh Napier University, Edinburgh, UK","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068240751","display_name":"Jeremy Pitt","orcid":"https://orcid.org/0000-0003-4312-8904"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeremy V. Pitt","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061030687"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20546511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9894000291824341,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9884999990463257,"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/novelty","display_name":"Novelty","score":0.8066844940185547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5923066735267639},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5916821956634521},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5899242162704468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5477603077888489},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.42099684476852417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36711055040359497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3473483622074127},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10394904017448425}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.8066844940185547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5923066735267639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5916821956634521},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5899242162704468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5477603077888489},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.42099684476852417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36711055040359497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3473483622074127},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10394904017448425},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-025-04056-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-025-04056-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-025-04056-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-025-04056-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-025-04056-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-025-04056-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412197288.pdf","grobid_xml":"https://content.openalex.org/works/W4412197288.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1534477342","https://openalex.org/W1995648027","https://openalex.org/W2010839146","https://openalex.org/W2017958751","https://openalex.org/W2029631245","https://openalex.org/W2040008923","https://openalex.org/W2078885513","https://openalex.org/W2081393777","https://openalex.org/W2099746672","https://openalex.org/W2111935653","https://openalex.org/W2115629999","https://openalex.org/W2131612655","https://openalex.org/W2136256517","https://openalex.org/W2138408785","https://openalex.org/W2151083897","https://openalex.org/W2153244930","https://openalex.org/W2171658832","https://openalex.org/W2194775991","https://openalex.org/W2601029648","https://openalex.org/W2613676787","https://openalex.org/W2746318363","https://openalex.org/W2797848881","https://openalex.org/W2810919783","https://openalex.org/W2911293880","https://openalex.org/W2911964244","https://openalex.org/W2930545260","https://openalex.org/W2954826798","https://openalex.org/W2962641727","https://openalex.org/W3004732066","https://openalex.org/W3038168968","https://openalex.org/W3046598164","https://openalex.org/W3104031848","https://openalex.org/W3105663403","https://openalex.org/W3134604425","https://openalex.org/W3137655554","https://openalex.org/W3148487455","https://openalex.org/W3173602162","https://openalex.org/W4212883601","https://openalex.org/W4226070085","https://openalex.org/W4253557247","https://openalex.org/W4285805499"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W198251434","https://openalex.org/W4312933423"],"abstract_inverted_index":{"Abstract":[0],"Neuroevolution":[1],"combined":[2],"with":[3],"Novelty":[4],"Search":[5],"to":[6,22,38,58,143,149,170],"promote":[7],"behavioural":[8,50],"diversity":[9,96,137],"is":[10],"capable":[11],"of":[12,67,111,119,126,153,159],"constructing":[13],"high-performing":[14],"ensembles":[15,158],"for":[16,95,100],"classification.":[17],"However,":[18],"using":[19,43],"gradient":[20],"descent":[21],"train":[23],"evolved":[24],"architectures":[25],"during":[26],"the":[27,49,101,116,151,175],"search":[28,94,112],"can":[29],"be":[30,167],"computationally":[31],"prohibitive.":[32],"We":[33],"have":[34],"proposed":[35],"a":[36,44,65,109,136,154,168,172],"method":[37,90],"overcome":[39],"this":[40],"limitation":[41],"by":[42],"surrogate":[45],"model":[46],"which":[47,161],"estimates":[48],"distance":[51],"between":[52,135,174],"two":[53],"neural":[54],"network":[55],"architectures,":[56],"required":[57],"calculate":[59],"novelty":[60],"scores.":[61],"This":[62,89,146],"has":[63],"demonstrated":[64],"speedup":[66],"10":[68],"times":[69],"over":[70],"previous":[71,76],"work,":[72],"significantly":[73],"improving":[74],"on":[75,79],"reported":[77],"results":[78],"three":[80],"benchmark":[81],"datasets":[82],"from":[83],"Computer":[84],"Vision\u2014CIFAR-10,":[85],"CIFAR-100,":[86],"and":[87,139],"SVHN.":[88],"makes":[91],"an":[92],"explicit":[93],"considerably":[97],"more":[98],"tractable":[99],"same":[102],"bounded":[103],"resources":[104],".":[105],"Here":[106],"we":[107,129],"investigate":[108],"range":[110],"methods":[113],"that":[114,131,163],"span":[115],"full":[117],"spectrum":[118],"favouring":[120],"accuracy,":[121],"diversity,":[122],"or":[123],"different":[124],"combinations":[125,134],"both.":[127],"Surprisingly,":[128],"show":[130],"multiple":[132],"unique":[133],"metric":[138],"accuracy":[140],"give":[141],"rise":[142],"similar":[144],"results.":[145],"enables":[147],"us":[148],"posit":[150],"existence":[152],"diversity-accuracy":[155],"duality":[156],"in":[157],"classifiers,":[160],"suggests":[162],"there":[164],"might":[165],"not":[166],"need":[169],"find":[171],"trade-off":[173],"two.":[176]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
