{"id":"https://openalex.org/W2899742500","doi":"https://doi.org/10.1109/ijcnn.2019.8852384","title":"Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence","display_name":"Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2899742500","doi":"https://doi.org/10.1109/ijcnn.2019.8852384","mag":"2899742500"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.03909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068847776","display_name":"Athanasios Davvetas","orcid":"https://orcid.org/0000-0002-3269-5463"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Athanasios Davvetas","raw_affiliation_strings":["Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027172970","display_name":"Iraklis Klampanos","orcid":"https://orcid.org/0000-0003-0478-4300"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iraklis A. Klampanos","raw_affiliation_strings":["Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018887199","display_name":"Vangelis Karkaletsis","orcid":"https://orcid.org/0000-0002-7062-9424"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vangelis Karkaletsis","raw_affiliation_strings":["Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunications, National Centre for Scientific Research \"Demokritos\", Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068847776"],"corresponding_institution_ids":["https://openalex.org/I203474044"],"apc_list":null,"apc_paid":null,"fwci":0.5109,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.678808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"8"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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":0.9973000288009644,"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/categorical-variable","display_name":"Categorical variable","score":0.8710967898368835},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.833749532699585},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8269442319869995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304136157035828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6020448803901672},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5947305560112},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.48021039366722107},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4644339978694916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45169588923454285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33899587392807007},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1409420669078827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1305694580078125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06164029240608215}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8710967898368835},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.833749532699585},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8269442319869995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304136157035828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6020448803901672},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5947305560112},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.48021039366722107},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4644339978694916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45169588923454285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33899587392807007},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1409420669078827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1305694580078125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06164029240608215},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1811.03909","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.03909","pdf_url":"https://arxiv.org/pdf/1811.03909","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.03909","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.03909","pdf_url":"https://arxiv.org/pdf/1811.03909","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W115285041","https://openalex.org/W1614298861","https://openalex.org/W1770543141","https://openalex.org/W1959608418","https://openalex.org/W2150102617","https://openalex.org/W2153939756","https://openalex.org/W2163922914","https://openalex.org/W2401154299","https://openalex.org/W2470052106","https://openalex.org/W2473930607","https://openalex.org/W2475287302","https://openalex.org/W2601071158","https://openalex.org/W2608862709","https://openalex.org/W2730106296","https://openalex.org/W2740016848","https://openalex.org/W2765741717","https://openalex.org/W2787439980","https://openalex.org/W2787801451","https://openalex.org/W2953267151","https://openalex.org/W2962808998","https://openalex.org/W2962852342","https://openalex.org/W2963226019","https://openalex.org/W2963250052","https://openalex.org/W2963377353","https://openalex.org/W2963677766","https://openalex.org/W2964074409","https://openalex.org/W4293568373","https://openalex.org/W6604628494","https://openalex.org/W6636510571","https://openalex.org/W6638042898","https://openalex.org/W6640963894","https://openalex.org/W6680067488","https://openalex.org/W6681875376","https://openalex.org/W6685380521","https://openalex.org/W6685777725","https://openalex.org/W6714590955","https://openalex.org/W6718140377","https://openalex.org/W6738279954","https://openalex.org/W6745729647","https://openalex.org/W6748473138","https://openalex.org/W6780248173"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"In":[0],"this":[1,60],"paper":[2],"we":[3,38],"introduce":[4],"evidence":[5,36,75,107],"transfer":[6,37],"for":[7,64],"clustering,":[8],"a":[9,32,56],"deep":[10],"learning":[11,63],"method":[12,68,111],"that":[13,109],"can":[14],"incrementally":[15],"manipulate":[16],"the":[17,40,44,73,78,81,89,114],"latent":[18,82,115],"representations":[19,116],"of":[20,47,80,106],"an":[21,48],"autoencoder,":[22],"according":[23],"to":[24,30,54],"external":[25],"categorical":[26,45,74],"evidence,":[27,122],"in":[28,59],"order":[29],"improve":[31,55],"clustering":[33,95],"outcome.":[34],"By":[35],"define":[39],"process":[41],"by":[42,92],"which":[43],"outcome":[46],"external,":[49],"auxiliary":[50],"task":[51],"is":[52],"exploited":[53],"primary":[57],"task,":[58],"case":[61],"representation":[62],"clustering.":[65],"Our":[66],"proposed":[67],"makes":[69],"no":[70],"assumptions":[71],"regarding":[72],"presented,":[76],"nor":[77],"structure":[79],"space.":[83],"We":[84],"compare":[85],"our":[86,110],"method,":[87],"against":[88],"baseline":[90],"solution":[91],"performing":[93],"k-means":[94],"before":[96],"and":[97],"after":[98],"its":[99],"deployment.":[100],"Experiments":[101],"with":[102,119,128],"three":[103],"different":[104],"kinds":[105],"show":[108],"effectively":[112],"manipulates":[113],"when":[117,126],"introduced":[118],"real":[120],"corresponding":[121],"while":[123],"remaining":[124],"robust":[125],"presented":[127],"low":[129],"quality":[130],"evidence.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}