{"id":"https://openalex.org/W4312803048","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892768","title":"Adaptive Shapelets Preservation for Time Series Augmentation","display_name":"Adaptive Shapelets Preservation for Time Series Augmentation","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312803048","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892768"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892768","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5101702035","display_name":"Liu Pin","orcid":"https://orcid.org/0000-0001-5213-2871"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4391767781","display_name":"State Key Laboratory of Software Development Environment","ror":"https://ror.org/017r4dj03","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767781","https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pin Liu","raw_affiliation_strings":["Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4391767781"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077003192","display_name":"Xiaohui Guo","orcid":"https://orcid.org/0000-0001-8256-2346"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Guo","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University,Hangzhou,China,310052"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University,Hangzhou,China,310052","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061906681","display_name":"Pengpeng Chen","orcid":"https://orcid.org/0000-0002-6595-1451"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4391767781","display_name":"State Key Laboratory of Software Development Environment","ror":"https://ror.org/017r4dj03","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767781","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Chen","raw_affiliation_strings":["Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4391767781"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003001715","display_name":"Bin Shi","orcid":"https://orcid.org/0000-0001-8272-9361"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Shi","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University,Xi'an,China,710049"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University,Xi'an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066123431","display_name":"Tianyu Wo","orcid":"https://orcid.org/0000-0002-5331-3364"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I4391767781","display_name":"State Key Laboratory of Software Development Environment","ror":"https://ror.org/017r4dj03","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767781","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Wo","raw_affiliation_strings":["Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4391767781"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China","institution_ids":["https://openalex.org/I4210165198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104473141","display_name":"Xudong Liu","orcid":"https://orcid.org/0000-0001-7102-0963"},"institutions":[{"id":"https://openalex.org/I4391767781","display_name":"State Key Laboratory of Software Development Environment","ror":"https://ror.org/017r4dj03","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767781","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Liu","raw_affiliation_strings":["Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Lab of Software Development Environment (SKLSDE),Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4391767781"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beijing, China","institution_ids":["https://openalex.org/I4210165198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101702035"],"corresponding_institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I4391767781","https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.1227,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30394945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9758999943733215,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.958899974822998,"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/overfitting","display_name":"Overfitting","score":0.9089243412017822},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7897875905036926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828303575515747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739653944969177},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6408591270446777},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.626128613948822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6183882355690002},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.555662214756012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4608331322669983},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4596422016620636},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4108502268791199},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12004905939102173}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9089243412017822},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7897875905036926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828303575515747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739653944969177},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6408591270446777},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.626128613948822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6183882355690002},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.555662214756012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4608331322669983},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4596422016620636},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4108502268791199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12004905939102173},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/ijcnn55064.2022.9892768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892768","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G8557345349","display_name":null,"funder_award_id":"2018YFB1306000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1979651826","https://openalex.org/W1989185482","https://openalex.org/W2029438113","https://openalex.org/W2099302229","https://openalex.org/W2099621636","https://openalex.org/W2132083787","https://openalex.org/W2295107390","https://openalex.org/W2515503816","https://openalex.org/W2551393996","https://openalex.org/W2620664872","https://openalex.org/W2773662615","https://openalex.org/W2810632432","https://openalex.org/W2889798024","https://openalex.org/W2892035503","https://openalex.org/W2948210185","https://openalex.org/W2954765307","https://openalex.org/W2954996726","https://openalex.org/W2962851944","https://openalex.org/W2965144482","https://openalex.org/W2978760586","https://openalex.org/W2981654920","https://openalex.org/W2988244882","https://openalex.org/W2996173043","https://openalex.org/W2998506103","https://openalex.org/W3008872739","https://openalex.org/W3018137638","https://openalex.org/W3034756453","https://openalex.org/W3035711009","https://openalex.org/W3046296398","https://openalex.org/W3046768359","https://openalex.org/W3101487523","https://openalex.org/W3101667008","https://openalex.org/W3106483999","https://openalex.org/W3163470764","https://openalex.org/W3169601551","https://openalex.org/W3176300058","https://openalex.org/W4287828713","https://openalex.org/W4289704203","https://openalex.org/W4320013936","https://openalex.org/W6638523607","https://openalex.org/W6675409298","https://openalex.org/W6685133223","https://openalex.org/W6754000701","https://openalex.org/W6754509688","https://openalex.org/W6767290199","https://openalex.org/W6774433549","https://openalex.org/W6785645852"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3040691452","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Time":[0],"series":[1,93,120],"augmentation":[2,48,103,153],"is":[3,171],"an":[4,73],"essential":[5],"technique":[6],"in":[7,19],"training":[8],"deep":[9],"learning":[10],"models":[11],"for":[12],"time":[13,57,92,111,119],"series,":[14,58],"especially":[15],"achieving":[16],"remarkable":[17],"results":[18,137],"tackling":[20],"the":[21,37,47,83,90,115,122,129,142,159,162,175],"overfitting":[22],"problems.":[23],"However,":[24],"existing":[25],"methods":[26],"fail":[27],"to":[28,36,52,86,109,168],"specifically":[29],"protect":[30],"discriminative":[31,96],"features":[32,42],"that":[33,94,146,151],"contribute":[34],"significantly":[35],"classification":[38,63,134],"results,":[39],"so":[40],"these":[41],"may":[43],"be":[44],"destroyed":[45],"during":[46,65,102],"process.":[49],"This":[50],"leads":[51],"lower":[53],"fidelity":[54,116],"of":[55,117,124,131,141],"augmented":[56,118],"which":[59,170],"ultimately":[60],"interferes":[61],"with":[62,133],"decisions":[64],"inference.":[66],"To":[67],"address":[68],"this":[69],"issue,":[70],"we":[71,81,99],"propose":[72],"adaptive":[74],"shapelets":[75,88],"preservation":[76],"approach,":[77],"named":[78],"ASP.":[79],"First,":[80],"exploit":[82],"saliency":[84],"map":[85],"detect":[87],"on":[89,138,154],"original":[91],"contain":[95],"features.":[97],"Second,":[98],"preserve":[100],"them":[101],"and":[104,121,157],"assign":[105],"a":[106],"proprietary":[107],"label":[108],"each":[110],"series.":[112],"It":[113],"improves":[114],"confidence":[123],"their":[125],"labels,":[126],"thereby":[127],"avoiding":[128],"risk":[130],"interfering":[132],"decisions.":[135],"Experimental":[136],"128":[139],"datasets":[140],"UCR2018":[143],"archive":[144],"show":[145],"our":[147],"method":[148],"ASP":[149],"outperforms":[150],"without":[152],"98":[155],"datasets,":[156],"helps":[158],"classifier":[160],"achieve":[161],"average":[163],"accuracy":[164],"improvement":[165],"from":[166],"71.26%":[167],"75.46%,":[169],"far":[172],"better":[173],"than":[174],"state-of-the-art":[176],"approaches.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}