{"id":"https://openalex.org/W4385482577","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191326","title":"Cross-Domain Transformation for Outlier Detection on Tabular Datasets","display_name":"Cross-Domain Transformation for Outlier Detection on Tabular Datasets","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482577","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191326"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5030237655","display_name":"Dayananda Herurkar","orcid":"https://orcid.org/0000-0003-1556-8769"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"id":"https://openalex.org/I4387152675","display_name":"Rheinland-Pf\u00e4lzische Technische Universit\u00e4t Kaiserslautern-Landau","ror":"https://ror.org/01qrts582","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152675"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dayananda Herurkar","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","RPTU Kaiserslautern-Landau, Germany","German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"RPTU Kaiserslautern-Landau, Germany","institution_ids":["https://openalex.org/I4387152675"]},{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055820496","display_name":"Timur Sattarov","orcid":"https://orcid.org/0000-0003-0460-0313"},"institutions":[{"id":"https://openalex.org/I74623043","display_name":"Deutsche Bundesbank","ror":"https://ror.org/03jvfq589","country_code":"DE","type":"other","lineage":["https://openalex.org/I74623043"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timur Sattarov","raw_affiliation_strings":["Deutsche Bundesbank, Frankfurt am Main,Germany","Deutsche Bundesbank, Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Deutsche Bundesbank, Frankfurt am Main,Germany","institution_ids":["https://openalex.org/I74623043"]},{"raw_affiliation_string":"Deutsche Bundesbank, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I74623043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019899855","display_name":"J.J. van Hees","orcid":"https://orcid.org/0000-0002-0084-8998"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"id":"https://openalex.org/I155417937","display_name":"Hochschule Bonn-Rhein-Sieg","ror":"https://ror.org/04m2anh63","country_code":"DE","type":"education","lineage":["https://openalex.org/I155417937"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rn Hees","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","Bonn-Rhein-Sieg University of Applied Sciences, St. Augustin, Germany","German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Bonn-Rhein-Sieg University of Applied Sciences, St. Augustin, Germany","institution_ids":["https://openalex.org/I155417937"]},{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006074105","display_name":"Sebastian Palacio","orcid":"https://orcid.org/0000-0002-8656-9569"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Palacio","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029509133","display_name":"Federico Raue","orcid":"https://orcid.org/0000-0002-8604-6207"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Federico Raue","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904182","display_name":"Andreas Dengel","orcid":"https://orcid.org/0000-0002-6100-8255"},"institutions":[{"id":"https://openalex.org/I4387152675","display_name":"Rheinland-Pf\u00e4lzische Technische Universit\u00e4t Kaiserslautern-Landau","ror":"https://ror.org/01qrts582","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152675"]},{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Dengel","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","RPTU Kaiserslautern-Landau, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI),Kaiserslautern,Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"RPTU Kaiserslautern-Landau, Germany","institution_ids":["https://openalex.org/I4387152675"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030237655"],"corresponding_institution_ids":["https://openalex.org/I33256026","https://openalex.org/I4387152675"],"apc_list":null,"apc_paid":null,"fwci":0.521,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71225549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7686790823936462},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6215653419494629},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6146847009658813},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.593814492225647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5507487058639526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.52861088514328},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4887576103210449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4470583200454712},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4371762275695801},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43561476469039917},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42795276641845703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4274863600730896},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41139766573905945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21891126036643982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10212218761444092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686790823936462},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6215653419494629},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6146847009658813},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.593814492225647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5507487058639526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52861088514328},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4887576103210449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4470583200454712},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4371762275695801},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43561476469039917},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42795276641845703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4274863600730896},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41139766573905945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21891126036643982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10212218761444092},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.h-brs.de:7480","is_oa":false,"landing_page_url":"https://pub.h-brs.de/frontdoor/index/index/docId/7480","pdf_url":null,"source":{"id":"https://openalex.org/S4306400385","display_name":"Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I135140700","host_organization_name":"University of Bonn","host_organization_lineage":["https://openalex.org/I135140700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN), 18-23 June 2023, Gold Coast, Australia","raw_type":"doc-type:conferenceobject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2019014808","https://openalex.org/W2034400748","https://openalex.org/W2084512860","https://openalex.org/W2099940443","https://openalex.org/W2121727866","https://openalex.org/W2128728535","https://openalex.org/W2135930857","https://openalex.org/W2144182447","https://openalex.org/W2278925444","https://openalex.org/W2296719434","https://openalex.org/W2336788611","https://openalex.org/W2473418344","https://openalex.org/W2626792426","https://openalex.org/W2756166446","https://openalex.org/W2763148304","https://openalex.org/W2942770187","https://openalex.org/W2949848919","https://openalex.org/W2950204666","https://openalex.org/W2953384591","https://openalex.org/W3000689925","https://openalex.org/W3022746105","https://openalex.org/W3044796230","https://openalex.org/W3047327820","https://openalex.org/W3091975750","https://openalex.org/W3105797690","https://openalex.org/W3111411606","https://openalex.org/W3120740533","https://openalex.org/W4205228770","https://openalex.org/W4205471456","https://openalex.org/W4255375128","https://openalex.org/W4287635733","https://openalex.org/W4288268009","https://openalex.org/W4296932801","https://openalex.org/W4315882078","https://openalex.org/W4320013936","https://openalex.org/W4385568422","https://openalex.org/W6677892458","https://openalex.org/W6680267248","https://openalex.org/W6703470281","https://openalex.org/W6713134421","https://openalex.org/W6739811675","https://openalex.org/W6763631378","https://openalex.org/W6811049881"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W2669956259","https://openalex.org/W2499612753","https://openalex.org/W4249005693","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W3088732000","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552"],"abstract_inverted_index":{"The":[0,104],"overwhelming":[1],"success":[2],"of":[3,16,73,106,135,148,168,182],"Deep":[4,87],"Learning":[5,88],"approaches":[6,45],"in":[7,21],"recent":[8],"years":[9],"is":[10,31,109],"often":[11],"driven":[12],"by":[13,33,82],"the":[14,71,79,116,166],"availability":[15],"large":[17],"public":[18,102,139,177],"datasets.":[19,64],"However,":[20],"some":[22],"domains":[23],"like":[24],"finance,":[25],"creating":[26],"and":[27,77,101,123,152,165],"sharing":[28],"realistic":[29],"datasets":[30,55,97,140,178,184],"hindered":[32],"secrecy":[34],"or":[35],"privacy":[36],"concerns.":[37],"This":[38],"can":[39,91],"lead":[40],"to":[41,49,61,115,141,161,186],"a":[42,99],"mismatch,":[43],"where":[44],"that":[46,90,110,175],"have":[47],"proven":[48,136],"work":[50],"well":[51],"on":[52,70,138],"public,":[53],"research-oriented":[54],"end":[56],"up":[57],"underperforming":[58],"when":[59],"applied":[60],"real-world":[62],"(private)":[63],"In":[65],"this":[66,132],"work,":[67],"we":[68,158],"focus":[69],"task":[72],"Outlier":[74],"Detection":[75],"(OD)":[76],"bridge":[78],"above":[80],"gap":[81],"building":[83],"an":[84],"autoencoder":[85],"based":[86],"approach":[89,108],"transform":[92],"samples":[93,112,181],"between":[94],"two":[95],"tabular":[96],"(e.g.,":[98],"private":[100],"one).":[103],"goal":[105],"our":[107,156],"transformed":[111,169,180],"become":[113],"similar":[114],"target":[117],"dataset,":[118],"while":[119,190],"inliers":[120,122],"remain":[121,125],"outliers":[124],"outliers.":[126],"Among":[127],"others,":[128],"after":[129],"successful":[130],"transformation,":[131],"allows":[133],"applying":[134],"methods":[137],"internal":[142],"datasets,":[143],"even":[144],"if":[145],"they":[146],"are":[147],"different":[149],"dimensionality":[150],"(rows":[151],"columns).":[153],"To":[154],"evaluate":[155],"approach,":[157],"introduce":[159],"metrics":[160],"measure":[162],"dataset":[163,188],"similarity":[164,189],"quality":[167],"samples.":[170],"Our":[171],"experimental":[172],"results":[173],"show":[174],"combining":[176],"with":[179],"other":[183],"leads":[185],"higher":[187],"sustaining":[191],"performance":[192],"w.r.t.":[193],"common":[194],"OD":[195],"algorithms.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
