{"id":"https://openalex.org/W3202041538","doi":"https://doi.org/10.1109/case49439.2021.9551267","title":"Anomaly Detection Based on Selection and Weighting in Latent Space","display_name":"Anomaly Detection Based on Selection and Weighting in Latent Space","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3202041538","doi":"https://doi.org/10.1109/case49439.2021.9551267","mag":"3202041538"},"language":"en","primary_location":{"id":"doi:10.1109/case49439.2021.9551267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","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/A5083549742","display_name":"Yi-Wen Liao","orcid":"https://orcid.org/0000-0002-2885-9824"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Yiwen Liao","raw_affiliation_strings":["Institute of Signal Processing and System Theory of the University of Stuttgart"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory of the University of Stuttgart","institution_ids":["https://openalex.org/I100066346","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021977554","display_name":"Alexander Bartler","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Alexander Bartler","raw_affiliation_strings":["Institute of Signal Processing and System Theory of the University of Stuttgart"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory of the University of Stuttgart","institution_ids":["https://openalex.org/I100066346","https://openalex.org/I4210121626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101717968","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-8322-117X"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["Institute of Signal Processing and System Theory of the University of Stuttgart"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory of the University of Stuttgart","institution_ids":["https://openalex.org/I100066346","https://openalex.org/I4210121626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083549742"],"corresponding_institution_ids":["https://openalex.org/I100066346","https://openalex.org/I4210121626"],"apc_list":null,"apc_paid":null,"fwci":1.6769,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87053039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"415"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8933814764022827},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7640854120254517},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7418256402015686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941473484039307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5773869156837463},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5580235719680786},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5304949283599854},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4917357265949249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4832483232021332},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4655979573726654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46111488342285156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17390605807304382}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8933814764022827},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7640854120254517},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7418256402015686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941473484039307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5773869156837463},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5580235719680786},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5304949283599854},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4917357265949249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4832483232021332},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4655979573726654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46111488342285156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17390605807304382},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49439.2021.9551267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1597576211","https://openalex.org/W1969324951","https://openalex.org/W1999393241","https://openalex.org/W2085302753","https://openalex.org/W2112796928","https://openalex.org/W2132870739","https://openalex.org/W2137130182","https://openalex.org/W2137693329","https://openalex.org/W2144182447","https://openalex.org/W2155653793","https://openalex.org/W2296719434","https://openalex.org/W2343568200","https://openalex.org/W2402144811","https://openalex.org/W2743138268","https://openalex.org/W2771783069","https://openalex.org/W2789159078","https://openalex.org/W2803697594","https://openalex.org/W2902076869","https://openalex.org/W2904870931","https://openalex.org/W2910068345","https://openalex.org/W2922340657","https://openalex.org/W2948982773","https://openalex.org/W2963061824","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2966559104","https://openalex.org/W3017264588","https://openalex.org/W3100726593","https://openalex.org/W3108665895","https://openalex.org/W3118608800","https://openalex.org/W3128633047","https://openalex.org/W3200608663","https://openalex.org/W4254182148","https://openalex.org/W4293321333","https://openalex.org/W6631190155","https://openalex.org/W6713134421","https://openalex.org/W6748366383","https://openalex.org/W6751494907","https://openalex.org/W6755207826","https://openalex.org/W6758101687","https://openalex.org/W6786726890"],"related_works":["https://openalex.org/W4283314094","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969"],"abstract_inverted_index":{"With":[0],"the":[1,7,25,50,63,84,102,109,112,123],"high":[2,20],"requirements":[3],"of":[4,9,54,106],"automation":[5],"in":[6,19,24],"era":[8],"Industry":[10],"4.0,":[11],"anomaly":[12,41,51,77],"detection":[13,52,78],"plays":[14],"an":[15],"increasingly":[16],"important":[17],"role":[18],"safety":[21],"and":[22,27,91,97,104],"reliability":[23],"production":[26],"manufacturing":[28],"industry.":[29],"Recently,":[30],"autoencoders":[31],"have":[32,45,100],"been":[33,46,60],"widely":[34],"used":[35],"as":[36],"a":[37,74],"backend":[38],"algorithm":[39],"for":[40],"detection.":[42],"Different":[43],"techniques":[44],"developed":[47],"to":[48,62],"improve":[49],"performance":[53,121],"autoencoders.":[55,68],"Nonetheless,":[56],"little":[57],"attention":[58],"has":[59,115],"paid":[61],"latent":[64,86],"representations":[65,87],"learned":[66,85],"by":[67],"In":[69,82],"this":[70],"paper,":[71],"we":[72],"propose":[73],"novel":[75],"selection-and-weighting-based":[76],"framework":[79,114],"called":[80],"SWAD.":[81,107],"particular,":[83],"are":[88],"individually":[89],"selected":[90],"weighted.":[92],"Experiments":[93],"on":[94],"both":[95],"benchmark":[96,110],"real-world":[98],"datasets":[99],"shown":[101],"effectiveness":[103],"superiority":[105],"On":[108],"datasets,":[111],"SWAD":[113],"reached":[116],"comparable":[117],"or":[118],"even":[119],"better":[120],"than":[122],"state-of-the-art":[124],"approaches.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
