{"id":"https://openalex.org/W4403577332","doi":"https://doi.org/10.1145/3627673.3679859","title":"Transformer for Point Anomaly Detection","display_name":"Transformer for Point Anomaly Detection","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577332","doi":"https://doi.org/10.1145/3627673.3679859"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","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/A5089689093","display_name":"Harim Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Harim Kim","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047680845","display_name":"Chia Shyan Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Ha Lee","raw_affiliation_strings":["GMDSOFT, Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"GMDSOFT, Seongnam, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021099541","display_name":"Charmgil Hong","orcid":"https://orcid.org/0000-0002-8176-252X"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Charmgil Hong","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I113825674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089689093"],"corresponding_institution_ids":["https://openalex.org/I113825674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16208159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1080","last_page":"1088"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6247428059577942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49742773175239563},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4246240258216858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22845947742462158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15330711007118225},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12504512071609497},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07228320837020874}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6247428059577942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49742773175239563},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4246240258216858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22845947742462158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15330711007118225},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12504512071609497},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07228320837020874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679859","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2000661457","https://openalex.org/W2098411764","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2807955733","https://openalex.org/W2931608861","https://openalex.org/W2981368934","https://openalex.org/W3034418897","https://openalex.org/W3040266635","https://openalex.org/W3135550350","https://openalex.org/W3159911466","https://openalex.org/W4254182148","https://openalex.org/W4312083476","https://openalex.org/W4313327905","https://openalex.org/W6907657585","https://openalex.org/W6907708432","https://openalex.org/W6926805992","https://openalex.org/W6963997914","https://openalex.org/W6964416151"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"data":[1,45],"analysis,":[2],"unsupervised":[3],"anomaly":[4,80,109,129],"detection":[5],"holds":[6],"an":[7,126],"important":[8],"position":[9],"for":[10,29,50,66,78,105],"identifying":[11],"statistical":[12],"outliers":[13],"that":[14,119,151],"signify":[15],"atypical":[16],"behavior,":[17],"erroneous":[18],"readings,":[19],"or":[20],"interesting":[21],"patterns":[22],"within":[23,35],"data.":[24,96],"The":[25],"Transformer":[26,65],"model,":[27],"known":[28],"its":[30,48],"ability":[31],"to":[32,138],"capture":[33],"dependencies":[34,55],"sequences,":[36],"has":[37],"revolutionized":[38],"areas":[39],"such":[40],"as":[41],"text":[42],"and":[43,101,108,111],"image":[44],"analysis.":[46],"However,":[47],"potential":[49],"tabular":[51,95,148],"data,":[52],"where":[53],"sequence":[54],"are":[56],"not":[57],"inherently":[58],"present,":[59],"remains":[60],"underexplored.":[61],"This":[62],"paper":[63],"introduces":[64],"Point":[67],"Anomaly":[68],"Detection":[69],"(TransPAD),":[70],"a":[71,134,144],"novel":[72],"Transformer-based":[73],"AutoEncoder":[74],"framework":[75],"specifically":[76],"designed":[77],"point":[79],"detection.":[81],"Our":[82,157],"method":[83],"captures":[84],"interdependencies":[85],"across":[86],"entire":[87],"datasets,":[88],"addressing":[89],"the":[90,113],"challenges":[91],"posed":[92],"with":[93],"non-sequential,":[94],"It":[97],"incorporates":[98],"unique":[99],"random":[100],"criteria":[102],"sampling":[103],"strategies":[104],"effective":[106],"training":[107],"identification,":[110],"avoids":[112],"common":[114],"pitfall":[115],"of":[116,146],"trivial":[117],"generalization":[118],"affects":[120],"many":[121],"conventional":[122],"methods.":[123,156],"By":[124],"leveraging":[125],"attention":[127],"weight-based":[128],"scoring":[130],"system,":[131],"TransPAD":[132,152],"offers":[133],"more":[135],"precise":[136],"approach":[137],"detect":[139],"anomalies.":[140],"Extensive":[141],"testing":[142],"on":[143],"range":[145],"benchmark":[147],"datasets":[149],"shows":[150],"consistently":[153],"outperforms":[154],"existing":[155],"source":[158],"code":[159],"is":[160],"available":[161],"at":[162],"https://github.com/nth221/TransPAD.":[163]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
