{"id":"https://openalex.org/W4393160039","doi":"https://doi.org/10.1609/aaai.v38i13.29317","title":"Diffusion Language-Shapelets for Semi-supervised Time-Series Classification","display_name":"Diffusion Language-Shapelets for Semi-supervised Time-Series Classification","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393160039","doi":"https://doi.org/10.1609/aaai.v38i13.29317"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i13.29317","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i13.29317","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29317/30486","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29317/30486","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003356618","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-8107-0929"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006726307","display_name":"Wenbin Pei","orcid":"https://orcid.org/0000-0002-8259-2614"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Pei","raw_affiliation_strings":["Dalian University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111153798","display_name":"Disen Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Disen Lan","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076609933","display_name":"Qianli Ma","orcid":"https://orcid.org/0000-0002-9356-2883"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianli Ma","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003356618"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.4595,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.904,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"38","issue":"13","first_page":"14079","last_page":"14087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"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":0.9987000226974487,"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/series","display_name":"Series (stratigraphy)","score":0.614798367023468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5611711144447327},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5311091542243958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012946128845215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.455043226480484},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36736470460891724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34086519479751587},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06863903999328613},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05780363082885742}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.614798367023468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5611711144447327},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5311091542243958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012946128845215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.455043226480484},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36736470460891724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34086519479751587},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06863903999328613},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05780363082885742},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v38i13.29317","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i13.29317","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29317/30486","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i13.29317","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i13.29317","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29317/30486","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1800336020","display_name":null,"funder_award_id":"62272173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4085546538","display_name":null,"funder_award_id":"62206041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5364885889","display_name":null,"funder_award_id":"61872148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5663721638","display_name":null,"funder_award_id":"2023A0505050106","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G5946461167","display_name":null,"funder_award_id":"2022A1515010179","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8500002199","display_name":null,"funder_award_id":"2019A1515010768","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320323059","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393160039.pdf"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W153770551","https://openalex.org/W1565746575","https://openalex.org/W1901129140","https://openalex.org/W1978371851","https://openalex.org/W2049877533","https://openalex.org/W2123502857","https://openalex.org/W2187089797","https://openalex.org/W2551393996","https://openalex.org/W2794523151","https://openalex.org/W2902925364","https://openalex.org/W2904753829","https://openalex.org/W2924333399","https://openalex.org/W2951970475","https://openalex.org/W2963956526","https://openalex.org/W2979805229","https://openalex.org/W2981852735","https://openalex.org/W2988244882","https://openalex.org/W2988873313","https://openalex.org/W2998424504","https://openalex.org/W3001316388","https://openalex.org/W3005680577","https://openalex.org/W3015966228","https://openalex.org/W3023534255","https://openalex.org/W3028571058","https://openalex.org/W3036167779","https://openalex.org/W3121370741","https://openalex.org/W3122315731","https://openalex.org/W3148150216","https://openalex.org/W3162049936","https://openalex.org/W3166396011","https://openalex.org/W3173748501","https://openalex.org/W3174543847","https://openalex.org/W3181975995","https://openalex.org/W3185341429","https://openalex.org/W3205500251","https://openalex.org/W3212867051","https://openalex.org/W4221159371","https://openalex.org/W4226211300","https://openalex.org/W4287322212","https://openalex.org/W4287365706","https://openalex.org/W4288089799","https://openalex.org/W4289533833","https://openalex.org/W4294079610","https://openalex.org/W4309630218","https://openalex.org/W4315589094","https://openalex.org/W4318718630","https://openalex.org/W4377130804","https://openalex.org/W4380136384","https://openalex.org/W4382464145","https://openalex.org/W4386071547","https://openalex.org/W4387634898","https://openalex.org/W4387724855","https://openalex.org/W4387846579","https://openalex.org/W6606242888","https://openalex.org/W6644836772","https://openalex.org/W6662787740","https://openalex.org/W6678226238","https://openalex.org/W6755395053","https://openalex.org/W6761184088","https://openalex.org/W6772773899","https://openalex.org/W6779823529","https://openalex.org/W6791493996","https://openalex.org/W6793546448","https://openalex.org/W6845938456"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W2951907088","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Semi-supervised":[0],"time-series":[1],"classification":[2,48,56],"could":[3],"effectively":[4],"alleviate":[5],"the":[6,26,29,63,80,90,120,123,147,150,155,160,168,174,178],"issue":[7],"of":[8,31,38,79,134,149,159],"lacking":[9],"labeled":[10,61],"data.":[11,136],"However,":[12],"existing":[13,67],"approaches":[14],"usually":[15],"ignore":[16],"model":[17,93],"interpretability,":[18],"making":[19],"it":[20],"difficult":[21],"for":[22,95],"humans":[23],"to":[24,76,118],"understand":[25],"principles":[27],"behind":[28],"predictions":[30],"a":[32,36,102,114,131,140],"model.":[33],"Shapelets":[34],"are":[35,69],"set":[37],"discriminative":[39],"subsequences":[40,112,128],"that":[41,145,177],"show":[42],"high":[43],"interpretability":[44,188],"in":[45],"time":[46,82,97,161,170],"series":[47,98,171],"tasks.":[49],"Shapelet":[50],"learning-based":[51],"methods":[52,68],"have":[53,164],"demonstrated":[54],"promising":[55],"performance.":[57],"Unfortunately,":[58],"without":[59],"enough":[60],"data,":[62],"shapelets":[64,125,152],"learned":[65,124,151],"by":[66,129,153],"often":[70],"poorly":[71],"discriminative,":[72],"and":[73,126,173,185],"even":[74],"dissimilar":[75],"any":[77],"subsequence":[78],"original":[81],"series.":[83,162],"To":[84],"address":[85],"this":[86],"issue,":[87],"we":[88,138],"propose":[89],"Diffusion":[91],"Language-Shapelets":[92],"(DiffShape)":[94],"semi-supervised":[96],"classification.":[99],"In":[100],"DiffShape,":[101],"self-supervised":[103],"diffusion":[104],"learning":[105,143],"mechanism":[106],"is":[107],"designed,":[108],"which":[109],"uses":[110],"real":[111,127],"as":[113],"condition.":[115],"This":[116],"helps":[117],"increase":[119],"similarity":[121],"between":[122],"using":[130],"large":[132],"amount":[133],"unlabeled":[135],"Furthermore,":[137],"introduce":[139],"contrastive":[141],"language-shapelets":[142],"strategy":[144],"improves":[146],"discriminability":[148],"incorporating":[154],"natural":[156],"language":[157],"descriptions":[158],"Experiments":[163],"been":[165],"conducted":[166],"on":[167],"UCR":[169],"archive,":[172],"results":[175],"reveal":[176],"proposed":[179],"DiffShape":[180],"method":[181],"achieves":[182],"state-of-the-art":[183],"performance":[184],"exhibits":[186],"superior":[187],"over":[189],"baselines.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
