{"id":"https://openalex.org/W4283022822","doi":"https://doi.org/10.1007/978-3-031-09037-0_53","title":"Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets","display_name":"Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4283022822","doi":"https://doi.org/10.1007/978-3-031-09037-0_53"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-09037-0_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-09037-0_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.13514","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101608191","display_name":"Guillaume Antoine","orcid":"https://orcid.org/0000-0001-8975-982X"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210129154","display_name":"Services d\u00e9concentr\u00e9s d'appui \u00e0 la recherche Val de Loire","ror":"https://ror.org/03ntmtb29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210129154"]},{"id":"https://openalex.org/I4210143826","display_name":"Institut National des Sciences Appliqu\u00e9es Centre Val de Loire","ror":"https://ror.org/03y0qc033","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210143826"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antoine Guillaume","raw_affiliation_strings":["Univ. Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, 45067, Orl\u00e9ans, France","Worldline, Blois, France"],"raw_orcid":"https://orcid.org/0000-0001-8975-982X","affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, 45067, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210129154","https://openalex.org/I4210143826"]},{"raw_affiliation_string":"Worldline, Blois, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050516915","display_name":"Christel Vrain","orcid":"https://orcid.org/0000-0003-3307-0753"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210129154","display_name":"Services d\u00e9concentr\u00e9s d'appui \u00e0 la recherche Val de Loire","ror":"https://ror.org/03ntmtb29","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210129154"]},{"id":"https://openalex.org/I4210143826","display_name":"Institut National des Sciences Appliqu\u00e9es Centre Val de Loire","ror":"https://ror.org/03y0qc033","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210143826"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christel Vrain","raw_affiliation_strings":["Univ. Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, 45067, Orl\u00e9ans, France"],"raw_orcid":"https://orcid.org/0000-0003-3307-0753","affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans, INSA Centre Val de Loire, LIFO EA 4022, 45067, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210129154","https://openalex.org/I4210143826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074769024","display_name":"Wael Elloumi","orcid":"https://orcid.org/0000-0002-5886-2450"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wael Elloumi","raw_affiliation_strings":["Worldline, Blois, France"],"raw_orcid":"https://orcid.org/0000-0002-5886-2450","affiliations":[{"raw_affiliation_string":"Worldline, Blois, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101608191"],"corresponding_institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210129154","https://openalex.org/I4210143826"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.1557,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9685526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9883999824523926,"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"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8137714266777039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.793739914894104},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5932436585426331},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5714176893234253},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.4726735055446625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4640257954597473},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.42084455490112305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097170829772949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11419212818145752}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8137714266777039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793739914894104},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5932436585426331},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5714176893234253},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.4726735055446625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4640257954597473},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.42084455490112305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097170829772949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11419212818145752},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-09037-0_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-09037-0_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2109.13514","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.13514","pdf_url":"https://arxiv.org/pdf/2109.13514","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03696103v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03696103","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICPRAI 2022: Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp.653-664, ⟨10.1007/978-3-031-09037-0_53⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.13514","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.13514","pdf_url":"https://arxiv.org/pdf/2109.13514","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1900747440","https://openalex.org/W1968354112","https://openalex.org/W1978371851","https://openalex.org/W2029438113","https://openalex.org/W2123502857","https://openalex.org/W2152542198","https://openalex.org/W2402972623","https://openalex.org/W2437679399","https://openalex.org/W2524083015","https://openalex.org/W2581867724","https://openalex.org/W2892035503","https://openalex.org/W2946507061","https://openalex.org/W2950292342","https://openalex.org/W2954112873","https://openalex.org/W2972810968","https://openalex.org/W2982438846","https://openalex.org/W2982516047","https://openalex.org/W2988244882","https://openalex.org/W3001244170","https://openalex.org/W3010158807","https://openalex.org/W3035125997","https://openalex.org/W3042807565","https://openalex.org/W3080921724","https://openalex.org/W3083891030","https://openalex.org/W3098918569","https://openalex.org/W3115948762","https://openalex.org/W3127492124","https://openalex.org/W3161074107","https://openalex.org/W3186145246","https://openalex.org/W4287212318","https://openalex.org/W4287774426"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W3190511629"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}