{"id":"https://openalex.org/W4206292812","doi":"https://doi.org/10.23919/eusipco54536.2021.9615924","title":"PaZoe: classifying time series with few labels","display_name":"PaZoe: classifying time series with few labels","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206292812","doi":"https://doi.org/10.23919/eusipco54536.2021.9615924"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9615924","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615924","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5025169536","display_name":"Mikhail Kamalov","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mikhail Kamalov","raw_affiliation_strings":["INRIA,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"INRIA,Sophia Antipolis,France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078987427","display_name":"Aur\u00e9lie Boisbunon","orcid":"https://orcid.org/0009-0007-6476-0120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aurelie Boisbunon","raw_affiliation_strings":["MyDataModels,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"MyDataModels,Sophia Antipolis,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036344448","display_name":"Carlo Fanara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlo Fanara","raw_affiliation_strings":["MyDataModels,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"MyDataModels,Sophia Antipolis,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024426320","display_name":"Ingrid Grenet","orcid":"https://orcid.org/0009-0006-5939-0703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ingrid Grenet","raw_affiliation_strings":["MyDataModels,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"MyDataModels,Sophia Antipolis,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069000814","display_name":"Jonathan Daeden","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Daeden","raw_affiliation_strings":["MyDataModels,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"MyDataModels,Sophia Antipolis,France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025169536"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.6283,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71611516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1561","last_page":"1565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8104047775268555},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6663752794265747},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5418009161949158},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5059038996696472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4932369589805603},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46390363574028015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4435123801231384},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.44062182307243347},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.43791598081588745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43551042675971985},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42042413353919983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3757301867008209},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27458706498146057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104047775268555},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6663752794265747},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5418009161949158},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5059038996696472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4932369589805603},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46390363574028015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4435123801231384},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.44062182307243347},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.43791598081588745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43551042675971985},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42042413353919983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3757301867008209},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27458706498146057},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9615924","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9615924","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W38936090","https://openalex.org/W121066256","https://openalex.org/W1591011485","https://openalex.org/W1630959083","https://openalex.org/W1854214752","https://openalex.org/W2017657762","https://openalex.org/W2106401878","https://openalex.org/W2107008379","https://openalex.org/W2122825543","https://openalex.org/W2296747845","https://openalex.org/W2566378066","https://openalex.org/W2902634594","https://openalex.org/W2910705748","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W2990298038","https://openalex.org/W3092363736","https://openalex.org/W3106169594","https://openalex.org/W3176543816","https://openalex.org/W4206651398","https://openalex.org/W4255601674","https://openalex.org/W4256561644","https://openalex.org/W6601565336","https://openalex.org/W6635439128","https://openalex.org/W6636599907","https://openalex.org/W6639055396","https://openalex.org/W6676132248","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6786612151"],"related_works":["https://openalex.org/W1485951484","https://openalex.org/W2911691005","https://openalex.org/W2058859952","https://openalex.org/W4298127989","https://openalex.org/W4283767292","https://openalex.org/W2408666710","https://openalex.org/W4285129151","https://openalex.org/W2006955346","https://openalex.org/W91291246","https://openalex.org/W3197879183"],"abstract_inverted_index":{"Semi-Supervised":[0],"Learning":[1],"(SSL)":[2],"on":[3,33,80],"graph-based":[4,54],"datasets":[5,84],"is":[6,19],"a":[7,28,45],"rapidly":[8],"growing":[9],"area":[10],"of":[11,36,63,118],"research,":[12],"but":[13],"its":[14],"application":[15],"to":[16,22,86,105],"time":[17,24,82],"series":[18,83],"difficult":[20],"due":[21],"the":[23,34,61,116,123],"dimension.":[25],"We":[26,71],"propose":[27],"flexible":[29],"SSL":[30,78],"framework":[31,51],"based":[32,57],"stacking":[35],"PageRank,":[37],"PCA":[38],"and":[39,55,65],"Zoetrope":[40],"Genetic":[41],"Programming":[42],"algorithms":[43,58,79],"into":[44],"novel":[46],"framework:":[47],"PaZoe.":[48],"This":[49],"self-labelling":[50],"shows":[52],"that":[53,74],"non-graph":[56],"jointly":[59],"improve":[60],"quality":[62],"predictions":[64],"outperform":[66],"each":[67],"component":[68],"taken":[69,121],"alone.":[70],"also":[72],"show":[73],"PaZoe":[75],"outperforms":[76],"state-of-the-art":[77],"three":[81],"close":[85],"real":[87],"world":[88],"conditions.":[89],"A":[90],"first":[91],"set":[92],"was":[93],"generated":[94],"in":[95,103],"house,":[96],"taking":[97],"data":[98],"from":[99,122],"industrial":[100],"graded":[101],"equipment":[102],"order":[104],"mimick":[106],"DC":[107],"motors":[108],"during":[109],"operation.":[110],"Two":[111],"other":[112],"datasets,":[113],"which":[114],"include":[115],"recording":[117],"gestures,":[119],"were":[120],"public":[124],"domain.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}