{"id":"https://openalex.org/W3215219722","doi":"https://doi.org/10.1145/3486611.3491118","title":"Open set anomaly classification","display_name":"Open set anomaly classification","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W3215219722","doi":"https://doi.org/10.1145/3486611.3491118","mag":"3215219722"},"language":"en","primary_location":{"id":"doi:10.1145/3486611.3491118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3486611.3491118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3486611.3491118","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3486611.3491118","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074267321","display_name":"Marcel Dix","orcid":"https://orcid.org/0000-0001-5984-6594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcel Dix","raw_affiliation_strings":["ABB Corporate Research Center, Ladenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABB Corporate Research Center, Ladenburg, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013007883","display_name":"Reuben Borrison","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reuben Borrison","raw_affiliation_strings":["ABB Corporate Research Center, Ladenburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABB Corporate Research Center, Ladenburg, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63751873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9868999719619751,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9828000068664551,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7783154845237732},{"id":"https://openalex.org/keywords/troubleshooting","display_name":"Troubleshooting","score":0.7590770125389099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395490407943726},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5886039733886719},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5509909987449646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5476979613304138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5330727696418762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5183966755867004},{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.49452611804008484},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4873293340206146},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.47848957777023315},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.45066842436790466},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44758856296539307},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.42437681555747986},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41063281893730164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17826387286186218}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7783154845237732},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.7590770125389099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395490407943726},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5886039733886719},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5509909987449646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5476979613304138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5330727696418762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5183966755867004},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.49452611804008484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4873293340206146},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.47848957777023315},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.45066842436790466},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44758856296539307},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.42437681555747986},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41063281893730164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17826387286186218},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486611.3491118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3486611.3491118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3486611.3491118","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3486611.3491118","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3486611.3491118","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3486611.3491118","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3215219722.pdf","grobid_xml":"https://content.openalex.org/works/W3215219722.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W1932198206","https://openalex.org/W2038076318","https://openalex.org/W2133218851","https://openalex.org/W2322186798","https://openalex.org/W2466114631","https://openalex.org/W2901114541","https://openalex.org/W2910728422","https://openalex.org/W2963149653","https://openalex.org/W2973218493","https://openalex.org/W3008182386","https://openalex.org/W3084233697","https://openalex.org/W3164954617"],"related_works":["https://openalex.org/W3013479934","https://openalex.org/W4210597238","https://openalex.org/W4318325534","https://openalex.org/W4206476896","https://openalex.org/W4240398146","https://openalex.org/W2950310564","https://openalex.org/W3171512724","https://openalex.org/W2169365377","https://openalex.org/W3210448364","https://openalex.org/W4320024167"],"abstract_inverted_index":{"Anomaly":[0],"classification":[1,33],"can":[2,14,188],"provide":[3],"a":[4],"discrimination":[5],"of":[6,9,28,71,85,121,143,151,176,193,200],"the":[7,16,21,38,55,64,69,81,114,117,149,185,191,198],"type":[8],"anomaly":[10,110],"at":[11],"hand,":[12],"that":[13,93,128,167,184],"help":[15],"user":[17],"to":[18,45,51],"narrow":[19],"down":[20],"search":[22],"space":[23],"during":[24],"troubleshooting.":[25],"A":[26],"limitation":[27],"most":[29],"machine":[30],"learning":[31],"(ML)":[32],"models":[34,127,147],"is":[35,68,84,90,148,158],"being":[36],"under":[37],"closed":[39],"set":[40,109],"assumption":[41],"and":[42,137],"thereby":[43],"failing":[44],"recognize":[46],"unknown":[47,201],"data.":[48,202],"Literature":[49],"refers":[50],"this":[52,62],"issue":[53],"as":[54,178],"Opens":[56],"Set":[57],"Recognition":[58],"(OSR)":[59],"problem.":[60],"In":[61],"paper,":[63],"given":[65],"use":[66,120],"case":[67],"detection":[70],"technical":[72],"faults":[73,96],"in":[74,77,197],"HVAC":[75,162],"systems":[76],"commercial":[78],"buildings.":[79],"Here,":[80],"OSR":[82,115],"problem":[83],"high":[86],"relevance,":[87],"because":[88],"it":[89],"very":[91],"unrealistic":[92],"all":[94],"possible":[95],"are":[97],"already":[98],"known":[99],"beforehand.":[100],"This":[101],"paper":[102],"proposes":[103],"an":[104,161],"ML":[105],"pipeline":[106,118,187],"for":[107,153],"open":[108],"classification.":[111],"To":[112],"address":[113],"problem,":[116],"makes":[119],"three":[122],"common":[123,145],"neural":[124],"network":[125],"architecture":[126],"successively":[129],"build":[130],"on":[131],"each":[132],"other,":[133],"namely":[134],"two":[135],"autoencoders":[136],"one":[138],"ANN":[139],"classifier.":[140],"The":[141,156],"advantage":[142],"using":[144],"well-known":[146],"ease":[150],"implementation":[152],"solution":[154],"developers.":[155],"validation":[157,181],"made":[159],"against":[160],"dataset":[163],"published":[164],"by":[165],"LBNL":[166],"contains":[168],"7":[169],"fault":[170],"cases,":[171],"where":[172],"we":[173],"assume":[174],"3":[175],"them":[177],"unknown.":[179],"Our":[180],"results":[182],"show":[183],"proposed":[186],"significantly":[189],"reduce":[190],"risk":[192],"false":[194],"class":[195],"predictions":[196],"presence":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}