{"id":"https://openalex.org/W4409013611","doi":"https://doi.org/10.1109/icsrs63046.2024.10927428","title":"Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition","display_name":"Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4409013611","doi":"https://doi.org/10.1109/icsrs63046.2024.10927428"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs63046.2024.10927428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs63046.2024.10927428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on System Reliability and Safety (ICSRS)","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/A5084531497","display_name":"Umberto Albertin","orcid":"https://orcid.org/0000-0002-9328-2590"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Umberto Albertin","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy"],"raw_orcid":"https://orcid.org/0000-0002-9328-2590","affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114353320","display_name":"Ariel Priarone","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ariel Priarone","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy"],"raw_orcid":"https://orcid.org/0009-0006-2741-8054","affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102900317","display_name":"Carlo Cena","orcid":"https://orcid.org/0000-0002-7802-5625"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Cena","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy"],"raw_orcid":"https://orcid.org/0000-0002-7802-5625","affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041311494","display_name":"Mauro Martini","orcid":"https://orcid.org/0000-0002-6204-3845"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Martini","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy"],"raw_orcid":"https://orcid.org/0000-0002-6204-3845","affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009477620","display_name":"Marcello Chiaberge","orcid":"https://orcid.org/0000-0002-1921-0126"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marcello Chiaberge","raw_affiliation_strings":["Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy"],"raw_orcid":"https://orcid.org/0000-0002-1921-0126","affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Electronics and Telecommunications,Torino,Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084531497"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2572852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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":0.9955000281333923,"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/benchmarking","display_name":"Benchmarking","score":0.8205925226211548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681342363357544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015462279319763},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5338861346244812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5251374244689941},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5160526633262634},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5129246711730957},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4867153465747833}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8205925226211548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681342363357544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015462279319763},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5338861346244812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5251374244689941},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5160526633262634},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5129246711730957},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4867153465747833},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsrs63046.2024.10927428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs63046.2024.10927428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 8th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1808756071","https://openalex.org/W1987971958","https://openalex.org/W2007842565","https://openalex.org/W2019014808","https://openalex.org/W2130416896","https://openalex.org/W2144182447","https://openalex.org/W2296719434","https://openalex.org/W2529693955","https://openalex.org/W2752561351","https://openalex.org/W2807272465","https://openalex.org/W2927487088","https://openalex.org/W2971941288","https://openalex.org/W3024118227","https://openalex.org/W3132028006","https://openalex.org/W4235457221","https://openalex.org/W4254182148","https://openalex.org/W4301596148","https://openalex.org/W4317103811","https://openalex.org/W4317490370","https://openalex.org/W4353052211","https://openalex.org/W4381741414","https://openalex.org/W4386830046","https://openalex.org/W4399115096","https://openalex.org/W4403678045","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W198251434","https://openalex.org/W4312933423"],"abstract_inverted_index":{"Novelty":[0],"detection":[1,14,51,66,150],"is":[2,43,106],"a":[3,44,84,103],"critical":[4],"task":[5],"in":[6,74],"various":[7],"engineering":[8],"fields.":[9],"Numerous":[10],"approaches":[11],"to":[12,115],"novelty":[13,50,65,149],"rely":[15],"on":[16],"supervised":[17],"or":[18],"semi-supervised":[19],"learning,":[20],"which":[21],"requires":[22],"labelled":[23,29,54],"datasets":[24],"for":[25,64,147],"training.":[26],"However,":[27],"acquiring":[28],"data,":[30],"when":[31],"feasible,":[32],"can":[33],"be":[34],"expensive":[35],"and":[36,72,119,141],"time-consuming.":[37],"For":[38],"these":[39],"reasons,":[40],"unsupervised":[41,60,144],"learning":[42,62,145],"powerful":[45],"alternative":[46],"that":[47,91],"allows":[48],"performing":[49],"without":[52,96],"needing":[53],"samples.":[55],"In":[56],"this":[57],"study,":[58],"numerous":[59],"machine":[61],"algorithms":[63,118],"are":[67,125],"compared,":[68],"highlighting":[69],"their":[70],"strengths":[71],"weaknesses":[73],"the":[75,98,117,121,129,139],"context":[76],"of":[77,100,143],"vibration":[78],"sensing.":[79],"The":[80],"proposed":[81],"framework":[82],"uses":[83],"continuous":[85],"metric,":[86],"unlike":[87],"most":[88],"traditional":[89],"methods":[90],"merely":[92],"flag":[93],"anomalous":[94],"samples":[95],"quantifying":[97],"degree":[99],"anomaly.":[101],"Moreover,":[102],"new":[104],"dataset":[105],"gathered":[107],"from":[108],"an":[109],"actuator":[110],"vibrating":[111],"at":[112],"specific":[113],"frequencies":[114],"benchmark":[116],"evaluate":[120],"framework.":[122],"Novel":[123],"conditions":[124],"introduced":[126],"by":[127],"altering":[128],"input":[130],"wave":[131],"signal.":[132],"Our":[133],"findings":[134],"offer":[135],"valuable":[136],"insights":[137],"into":[138],"adaptability":[140],"robustness":[142],"techniques":[146],"real-world":[148],"applications.":[151]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
