{"id":"https://openalex.org/W4224930237","doi":"https://doi.org/10.1145/3512290.3528744","title":"RankNEAT","display_name":"RankNEAT","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4224930237","doi":"https://doi.org/10.1145/3512290.3528744"},"language":"en","primary_location":{"id":"doi:10.1145/3512290.3528744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528744","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.06901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056006892","display_name":"Kosmas Pinitas","orcid":"https://orcid.org/0000-0003-0938-682X"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Kosmas Pinitas","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057445534","display_name":"Konstantinos Makantasis","orcid":"https://orcid.org/0000-0002-0889-2766"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Konstantinos Makantasis","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012075090","display_name":"Antonios Liapis","orcid":"https://orcid.org/0000-0001-5554-1961"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Antonios Liapis","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072029181","display_name":"Georgios N. Yannakakis","orcid":"https://orcid.org/0000-0001-7793-1450"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Georgios N. Yannakakis","raw_affiliation_strings":["University of Malta, Msida, Malta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malta, Msida, Malta","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197854408"],"apc_list":null,"apc_paid":null,"fwci":0.832,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81714915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1084","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9922000169754028,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9922000169754028,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9912999868392944,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516034841537476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078204154968262},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.686068594455719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5585945844650269},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.516126275062561},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49549567699432373},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.49146902561187744},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"Neuroevolution","score":0.49071037769317627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09646111726760864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516034841537476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078204154968262},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.686068594455719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5585945844650269},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.516126275062561},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49549567699432373},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.49146902561187744},{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.49071037769317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09646111726760864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3512290.3528744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528744","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"},{"id":"pmh:oai:arXiv.org:2204.06901","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.06901","pdf_url":"https://arxiv.org/pdf/2204.06901","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.06901","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.06901","pdf_url":"https://arxiv.org/pdf/2204.06901","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W206199800","https://openalex.org/W1480376833","https://openalex.org/W1576434095","https://openalex.org/W1680797894","https://openalex.org/W1801780804","https://openalex.org/W1935515061","https://openalex.org/W1964166287","https://openalex.org/W1980480036","https://openalex.org/W1981950962","https://openalex.org/W1999380910","https://openalex.org/W2039082187","https://openalex.org/W2056364562","https://openalex.org/W2088424609","https://openalex.org/W2103184652","https://openalex.org/W2108598243","https://openalex.org/W2111935653","https://openalex.org/W2113410615","https://openalex.org/W2115584760","https://openalex.org/W2117847384","https://openalex.org/W2123950145","https://openalex.org/W2134514463","https://openalex.org/W2137699621","https://openalex.org/W2138776737","https://openalex.org/W2143331230","https://openalex.org/W2166834249","https://openalex.org/W2253728219","https://openalex.org/W2479609865","https://openalex.org/W2591476770","https://openalex.org/W2766284073","https://openalex.org/W2768267830","https://openalex.org/W2779171599","https://openalex.org/W2787552263","https://openalex.org/W2787876196","https://openalex.org/W2792919371","https://openalex.org/W2888451463","https://openalex.org/W2898353388","https://openalex.org/W2900358852","https://openalex.org/W2996235414","https://openalex.org/W3007144933","https://openalex.org/W3046768359","https://openalex.org/W3089246867","https://openalex.org/W3094502228","https://openalex.org/W3098851962","https://openalex.org/W3106483999","https://openalex.org/W3133328577","https://openalex.org/W3147083253","https://openalex.org/W3202107015","https://openalex.org/W4249067296","https://openalex.org/W4298304654","https://openalex.org/W4376599032"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W4297676672","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Stochastic":[0],"gradient":[1,85],"descent":[2],"(SGD)":[3],"is":[4,29,185],"a":[5,26,186],"premium":[6],"optimization":[7,169],"method":[8],"for":[9,14],"training":[10,81,102],"neural":[11,27,61],"networks,":[12],"especially":[13],"learning":[15,68,130],"objectively":[16],"defined":[17,34],"labels":[18],"such":[19,75],"as":[20,36,172],"image":[21],"objects":[22],"and":[23,47,56,188],"events.":[24],"When":[25],"network":[28],"instead":[30],"faced":[31],"with":[32],"subjectively":[33],"labels---such":[35],"human":[37],"demonstrations":[38],"or":[39],"annotations---SGD":[40],"may":[41],"struggle":[42],"to":[43,73,100,113,155,193],"explore":[44],"the":[45,53,78,89,95,101,108,122,132,143,156,162],"deceptive":[46],"noisy":[48],"loss":[49],"landscapes":[50],"caused":[51],"by":[52,88],"inherent":[54],"bias":[55],"subjectivity":[57],"of":[58,91,97,103,117,146,164],"humans.":[59],"While":[60],"networks":[62],"are":[63],"often":[64],"trained":[65],"via":[66],"preference":[67,104,129,158,194],"algorithms":[69],"in":[70,136,161],"an":[71,173],"effort":[72],"eliminate":[74],"data":[76],"noise,":[77],"de":[79],"facto":[80],"methods":[82],"rely":[83],"on":[84,94],"descent.":[86],"Motivated":[87],"lack":[90],"empirical":[92],"studies":[93],"impact":[96],"evolutionary":[98,191],"search":[99],"learners,":[105],"we":[106],"introduce":[107],"RankNEAT":[109,125,150,184],"algorithm":[110],"which":[111],"learns":[112],"rank":[114],"through":[115],"neuroevolution":[116],"augmenting":[118],"topologies.":[119],"We":[120],"test":[121],"hypothesis":[123],"that":[124,183],"outperforms":[126],"traditional":[127],"gradient-based":[128,157],"within":[131],"affective":[133],"computing":[134],"domain,":[135],"particular":[137],"predicting":[138],"annotated":[139],"player":[140],"arousal":[141],"from":[142],"game":[144],"footage":[145],"three":[147],"dissimilar":[148],"games.":[149],"yields":[151],"superior":[152],"performances":[153],"compared":[154],"learner":[159],"(RankNet)":[160],"majority":[163],"experiments":[165],"since":[166],"its":[167],"architecture":[168],"capacity":[170],"acts":[171],"eficient":[174,190],"feature":[175],"selection":[176],"mechanism,":[177],"thereby,":[178],"eliminating":[179],"overfitting.":[180],"Results":[181],"suggest":[182],"viable":[187],"highly":[189],"alternative":[192],"learning.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2022-04-28T00:00:00"}
