{"id":"https://openalex.org/W2789157516","doi":"https://doi.org/10.2991/ijcis.2018.125905686","title":"AEkNN: An AutoEncoder kNN\u2013Based Classifier With Built-in Dimensionality Reduction","display_name":"AEkNN: An AutoEncoder kNN\u2013Based Classifier With Built-in Dimensionality Reduction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2789157516","doi":"https://doi.org/10.2991/ijcis.2018.125905686","mag":"2789157516"},"language":"en","primary_location":{"id":"doi:10.2991/ijcis.2018.125905686","is_oa":true,"landing_page_url":"https://doi.org/10.2991/ijcis.2018.125905686","pdf_url":"https://www.atlantis-press.com/article/125905686.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.atlantis-press.com/article/125905686.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010846799","display_name":"Francisco J. Pulgar","orcid":"https://orcid.org/0000-0003-3558-3990"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Francisco J. Pulgar","raw_affiliation_strings":["Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066651833","display_name":"Francisco Charte","orcid":"https://orcid.org/0000-0002-3083-8942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco Charte","raw_affiliation_strings":["Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032030004","display_name":"Antonio J. Rivera","orcid":"https://orcid.org/0000-0002-1062-3127"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio J. Rivera","raw_affiliation_strings":["Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024660179","display_name":"Mar\u00eda Jos\u00e9 del Jes\u00fas","orcid":"https://orcid.org/0000-0002-7891-3059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mar\u00eda J. del Jesus","raw_affiliation_strings":["Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), Department of Computer Science, University of Jan, Jan, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010846799"],"corresponding_institution_ids":[],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":0.2904,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6438648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":"1","first_page":"436","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.9937000274658203,"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/autoencoder","display_name":"Autoencoder","score":0.8380172848701477},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7698497772216797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156614065170288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7067198753356934},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6960638165473938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808141469955444},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.613277018070221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.547254741191864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48192811012268066},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4330729842185974},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4107535183429718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3719191253185272},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22701722383499146}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8380172848701477},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7698497772216797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156614065170288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7067198753356934},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6960638165473938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808141469955444},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.613277018070221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.547254741191864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48192811012268066},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4330729842185974},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4107535183429718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3719191253185272},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22701722383499146},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.2991/ijcis.2018.125905686","is_oa":true,"landing_page_url":"https://doi.org/10.2991/ijcis.2018.125905686","pdf_url":"https://www.atlantis-press.com/article/125905686.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1802.08465","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.08465","pdf_url":"https://arxiv.org/pdf/1802.08465","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},{"id":"mag:2789157516","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1802.08465","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2a411aa191534db283e5830f53279dcc","is_oa":false,"landing_page_url":"https://doaj.org/article/2a411aa191534db283e5830f53279dcc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 12, Iss 1 (2018)","raw_type":"article"},{"id":"doi:10.48550/arxiv.1802.08465","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.08465","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2991/ijcis.2018.125905686","is_oa":true,"landing_page_url":"https://doi.org/10.2991/ijcis.2018.125905686","pdf_url":"https://www.atlantis-press.com/article/125905686.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8959495495","display_name":null,"funder_award_id":"TIN2015-68454-R","funder_id":"https://openalex.org/F4320323737","funder_display_name":"Ministerio de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320323737","display_name":"Ministerio de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789157516.pdf","grobid_xml":"https://content.openalex.org/works/W2789157516.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W140777655","https://openalex.org/W198244778","https://openalex.org/W745779314","https://openalex.org/W1541288193","https://openalex.org/W1566022212","https://openalex.org/W1568794265","https://openalex.org/W1595303882","https://openalex.org/W1610836425","https://openalex.org/W1613249581","https://openalex.org/W1742512077","https://openalex.org/W1847088711","https://openalex.org/W1873332500","https://openalex.org/W1966297316","https://openalex.org/W1974758710","https://openalex.org/W1982772336","https://openalex.org/W1985258161","https://openalex.org/W1989344766","https://openalex.org/W1993378086","https://openalex.org/W2001141328","https://openalex.org/W2006554089","https://openalex.org/W2009543464","https://openalex.org/W2025768430","https://openalex.org/W2034520351","https://openalex.org/W2042970394","https://openalex.org/W2053186076","https://openalex.org/W2064675550","https://openalex.org/W2071128523","https://openalex.org/W2072128103","https://openalex.org/W2085400714","https://openalex.org/W2097308346","https://openalex.org/W2098057602","https://openalex.org/W2099866409","https://openalex.org/W2112796928","https://openalex.org/W2117741752","https://openalex.org/W2122111042","https://openalex.org/W2125113755","https://openalex.org/W2130325614","https://openalex.org/W2132824401","https://openalex.org/W2133487567","https://openalex.org/W2134262590","https://openalex.org/W2135306627","https://openalex.org/W2135346934","https://openalex.org/W2135624716","https://openalex.org/W2137570937","https://openalex.org/W2139622435","https://openalex.org/W2141125852","https://openalex.org/W2147169507","https://openalex.org/W2150341604","https://openalex.org/W2152799677","https://openalex.org/W2157133710","https://openalex.org/W2160815625","https://openalex.org/W2163922914","https://openalex.org/W2165337236","https://openalex.org/W2218318129","https://openalex.org/W2290145898","https://openalex.org/W2293634267","https://openalex.org/W2294798173","https://openalex.org/W2341171179","https://openalex.org/W2417420127","https://openalex.org/W2579944688","https://openalex.org/W2581082771","https://openalex.org/W2604396871","https://openalex.org/W3015571647","https://openalex.org/W3102094077","https://openalex.org/W6600302863","https://openalex.org/W6600339457","https://openalex.org/W6600577311","https://openalex.org/W6631448583","https://openalex.org/W6631946424","https://openalex.org/W6633228338","https://openalex.org/W6635715184","https://openalex.org/W6679234696","https://openalex.org/W6779541048","https://openalex.org/W6819280780"],"related_works":["https://openalex.org/W2337540319","https://openalex.org/W1491045771","https://openalex.org/W583717066","https://openalex.org/W2070349769","https://openalex.org/W2130817038","https://openalex.org/W2462124875","https://openalex.org/W3133896312","https://openalex.org/W2800600342","https://openalex.org/W2386959631","https://openalex.org/W2016244926","https://openalex.org/W2030851198","https://openalex.org/W2611511578","https://openalex.org/W2137231986","https://openalex.org/W2578574403","https://openalex.org/W2210079134","https://openalex.org/W2125814100"],"abstract_inverted_index":{"High":[0],"dimensionality":[1,91,107,160],"tends":[2,69],"to":[3,70,96,134],"be":[4,127],"a":[5,45,85,98,105,132],"challenge":[6],"for":[7],"most":[8],"machine":[9],"learning":[10,22],"tasks,":[11],"including":[12],"classification.":[13],"There":[14],"are":[15],"different":[16],"classification":[17],"methodologies,":[18],"of":[19,26,31,47,77,101,121,141],"which":[20],"instance-based":[21],"is":[23,34,93,145],"one.":[24],"One":[25],"the":[27,35,53,62,75,102,123,142,154],"best":[28],"known":[29],"members":[30],"this":[32,82,118],"family":[33],"k-nearest":[36],"neighbors":[37],"(kNNs)":[38],"algorithm.":[39],"Its":[40],"strategy":[41],"relies":[42],"on":[43],"searching":[44],"set":[46],"nearest":[48],"instances.":[49],"In":[50,81],"high-dimensional":[51],"spaces,":[52],"distances":[54,125],"between":[55],"examples":[56],"lose":[57],"significance.":[58],"Therefore,":[59],"kNN,":[60],"in":[61,172],"same":[63],"way":[64,133],"as":[65,74],"many":[66],"other":[67],"classifiers,":[68],"worsen":[71],"its":[72],"performance":[73],"number":[76],"input":[78],"variables":[79],"grows.":[80],"study,":[83],"AEkNN,":[84],"new":[86,99,119,143],"kNN-based":[87],"algorithm":[88,157],"with":[89,109],"built-in":[90],"reduction,":[92],"presented.":[94],"Aiming":[95],"obtain":[97],"representation":[100],"data,":[103],"having":[104],"lower":[106],"but":[108],"more":[110,128],"informational":[111],"features,":[112],"AEkNN":[113,168],"internally":[114],"uses":[115],"autoencoders.":[116],"From":[117],"vector":[120],"features":[122],"computed":[124],"should":[126],"significant,":[129],"thus":[130],"providing":[131],"choose":[135],"better":[136,170],"neighbors.":[137],"An":[138],"experimental":[139],"evaluation":[140],"proposal":[144],"conducted,":[146],"analyzing":[147],"several":[148],"configurations":[149],"and":[150,158,174],"comparing":[151],"them":[152],"against":[153],"original":[155],"kNN":[156],"classical":[159],"reduction":[161],"methods.":[162],"The":[163],"obtained":[164],"conclusions":[165],"demonstrate":[166],"that":[167],"offers":[169],"results":[171],"predictive":[173],"runtime":[175],"performance.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}