{"id":"https://openalex.org/W3156282597","doi":"https://doi.org/10.1109/icassp39728.2021.9415010","title":"Fourier Transformation Autoencoders for Anomaly Detection","display_name":"Fourier Transformation Autoencoders for Anomaly Detection","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3156282597","doi":"https://doi.org/10.1109/icassp39728.2021.9415010","mag":"3156282597"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9415010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5079758428","display_name":"Demetris Lappas","orcid":"https://orcid.org/0009-0009-7644-0778"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Demetris Lappas","raw_affiliation_strings":["School of Computer Science and Mathematics, Kingston University, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Kingston University, London, UK","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013565466","display_name":"Vasileios Argyriou","orcid":"https://orcid.org/0000-0003-4679-8049"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasileios Argyriou","raw_affiliation_strings":["School of Computer Science and Mathematics, Kingston University, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Kingston University, London, UK","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057370857","display_name":"Dimitrios Makris","orcid":"https://orcid.org/0000-0001-6170-0236"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dimitrios Makris","raw_affiliation_strings":["School of Computer Science and Mathematics, Kingston University, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Kingston University, London, UK","institution_ids":["https://openalex.org/I205051169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6997,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75582581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1475","last_page":"1479"},"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":0.9940000176429749,"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":0.9833999872207642,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8522859811782837},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6725687980651855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6659803986549377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435633897781372},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6271868944168091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6174745559692383},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5623337626457214},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.4954122304916382},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.48333999514579773},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4449578523635864},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43503665924072266},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42644405364990234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17543789744377136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10118362307548523}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8522859811782837},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6725687980651855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6659803986549377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435633897781372},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6271868944168091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6174745559692383},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5623337626457214},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.4954122304916382},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.48333999514579773},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4449578523635864},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43503665924072266},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42644405364990234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17543789744377136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10118362307548523},{"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/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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp39728.2021.9415010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:48517","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1994373811","https://openalex.org/W2026041010","https://openalex.org/W2035379194","https://openalex.org/W2065273471","https://openalex.org/W2067700376","https://openalex.org/W2091838590","https://openalex.org/W2103023238","https://openalex.org/W2112796928","https://openalex.org/W2127979711","https://openalex.org/W2131989759","https://openalex.org/W2511065100","https://openalex.org/W2579718262","https://openalex.org/W2599354622","https://openalex.org/W2743138268","https://openalex.org/W2786088545","https://openalex.org/W2787947370","https://openalex.org/W2810818658","https://openalex.org/W2947705258","https://openalex.org/W2963045681","https://openalex.org/W6649122387","https://openalex.org/W6731992678","https://openalex.org/W6748102297","https://openalex.org/W6748495906","https://openalex.org/W6753048842","https://openalex.org/W6763677432"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W3193432347","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1],"is":[2,33],"a":[3,12,54,62,79],"challenging":[4],"problem,":[5],"mainly":[6],"due":[7],"to":[8,28,38,48,66,72],"the":[9,51,73,76,86],"lack":[10],"of":[11,15,53,75,81],"sufficient":[13],"set":[14],"abnormal":[16],"samples":[17],"that":[18],"represents":[19],"every":[20],"possible":[21],"anomaly.":[22],"Therefore":[23],"unsupervised":[24],"methods":[25],"are":[26],"employed":[27],"model":[29],"normality":[30],"and":[31],"anomaly":[32],"detected":[34],"as":[35],"an":[36],"outlier":[37],"such":[39],"models.":[40],"This":[41],"paper":[42],"introduces":[43],"Fourier":[44],"Trans-forms":[45],"into":[46],"AutoEncoders":[47],"demonstrate":[49],"how":[50,85],"inclusion":[52],"frequency":[55],"domain":[56],"presents":[57],"less":[58],"noisy":[59],"features":[60],"for":[61],"deep":[63],"learning":[64],"network":[65],"detect":[67],"anomalies.":[68],"Comparing":[69],"our":[70],"results":[71],"state":[74],"art":[77],"on":[78],"variety":[80],"datasets,":[82],"we":[83],"show":[84],"proposed":[87],"method":[88],"can":[89],"provide":[90],"competitive":[91],"results.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
