{"id":"https://openalex.org/W4304694340","doi":"https://doi.org/10.1007/s13042-022-01657-w","title":"VESC: a new variational autoencoder based model for anomaly detection","display_name":"VESC: a new variational autoencoder based model for anomaly detection","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4304694340","doi":"https://doi.org/10.1007/s13042-022-01657-w"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-022-01657-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-022-01657-w","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-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/A5012559241","display_name":"Chunkai Zhang","orcid":"https://orcid.org/0000-0002-2207-0953"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunkai Zhang","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019896329","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-5665-2935"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752524","display_name":"Jiahua Zhang","orcid":"https://orcid.org/0000-0002-2894-9627"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahua Zhang","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006822323","display_name":"Shaocong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaocong Li","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778121","display_name":"Hanyu Zhang","orcid":"https://orcid.org/0000-0002-4728-7702"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanyu Zhang","raw_affiliation_strings":["New York Stock Exchange LLC, Wall Street, New York, 10005, USA"],"affiliations":[{"raw_affiliation_string":"New York Stock Exchange LLC, Wall Street, New York, 10005, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073927368","display_name":"Chuanyi Liu","orcid":"https://orcid.org/0000-0001-8237-8979"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyi Liu","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101992266","display_name":"Peiyi Han","orcid":"https://orcid.org/0000-0003-0417-4473"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyi Han","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen, Shenzhen, 518000, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012559241"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":1.9321,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88157813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"683","last_page":"696"},"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":0.9986000061035156,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/autoencoder","display_name":"Autoencoder","score":0.9355373382568359},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8069463968276978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437878847122192},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.660849392414093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444840431213379},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5243000388145447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49781084060668945},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4877203404903412},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47228485345840454},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4447939097881317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3731628358364105},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3283546566963196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1343347728252411}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9355373382568359},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8069463968276978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437878847122192},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.660849392414093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444840431213379},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5243000388145447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49781084060668945},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4877203404903412},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47228485345840454},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4447939097881317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3731628358364105},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3283546566963196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1343347728252411},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-022-01657-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-022-01657-w","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8639857377","display_name":null,"funder_award_id":"NO. 2020A1515010970","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2041559880","https://openalex.org/W2056972503","https://openalex.org/W2079054072","https://openalex.org/W2296719434","https://openalex.org/W2340896621","https://openalex.org/W2599354622","https://openalex.org/W2756359217","https://openalex.org/W2783928289","https://openalex.org/W2833324965","https://openalex.org/W2902758299","https://openalex.org/W2910185946","https://openalex.org/W2914570111","https://openalex.org/W2944981198","https://openalex.org/W2963045681","https://openalex.org/W2963046013","https://openalex.org/W2964241181","https://openalex.org/W2978971541","https://openalex.org/W2982182858","https://openalex.org/W2987228832","https://openalex.org/W2988244882","https://openalex.org/W3005007232","https://openalex.org/W3015959599","https://openalex.org/W3081229243","https://openalex.org/W4237786406","https://openalex.org/W4256361765","https://openalex.org/W6601658864","https://openalex.org/W6633340474","https://openalex.org/W6776948474"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4285233543","https://openalex.org/W4394785709","https://openalex.org/W4309969736","https://openalex.org/W2806873178","https://openalex.org/W2770818364"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}