{"id":"https://openalex.org/W4405306182","doi":"https://doi.org/10.1109/indin58382.2024.10774314","title":"Tracking Differentiator-based Multiview Dilated Characteristics for Time Series Classification","display_name":"Tracking Differentiator-based Multiview Dilated Characteristics for Time Series Classification","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405306182","doi":"https://doi.org/10.1109/indin58382.2024.10774314"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084848407","display_name":"Changchun He","orcid":"https://orcid.org/0000-0002-0506-8632"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changchun He","raw_affiliation_strings":["Harbin Institute of Technology,Control and Simulation Center,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Control and Simulation Center,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103042152","display_name":"Xin Huo","orcid":"https://orcid.org/0000-0003-4945-6271"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huo","raw_affiliation_strings":["Harbin Institute of Technology,Control and Simulation Center,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Control and Simulation Center,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.8343,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.741055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9962999820709229,"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":0.9962999820709229,"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/differentiator","display_name":"Differentiator","score":0.8032232522964478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6749656200408936},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5872449278831482},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5621300339698792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520707905292511},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4595791697502136},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.06174546480178833}],"concepts":[{"id":"https://openalex.org/C12112733","wikidata":"https://www.wikidata.org/wiki/Q2659948","display_name":"Differentiator","level":3,"score":0.8032232522964478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6749656200408936},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5872449278831482},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5621300339698792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520707905292511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4595791697502136},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.06174546480178833},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[{"id":"https://openalex.org/G1916512860","display_name":null,"funder_award_id":"62373128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8442416970","display_name":null,"funder_award_id":"LH2021F025","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2135493101","https://openalex.org/W2555077524","https://openalex.org/W2765753848","https://openalex.org/W2802314367","https://openalex.org/W2948009788","https://openalex.org/W2955612236","https://openalex.org/W2967988901","https://openalex.org/W2988244882","https://openalex.org/W3202364339","https://openalex.org/W4285183459","https://openalex.org/W4312734973","https://openalex.org/W4386067058","https://openalex.org/W4386861026","https://openalex.org/W4387623977","https://openalex.org/W4390357505","https://openalex.org/W4392449846","https://openalex.org/W4394844796","https://openalex.org/W6790677110","https://openalex.org/W6852338579"],"related_works":["https://openalex.org/W2106049106","https://openalex.org/W2290093068","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"In":[0],"industrial":[1],"production,":[2],"obtaining":[3],"the":[4,24,54,109,170,176,183,186],"discrete":[5],"status":[6],"of":[7,56,64,97,185],"equipment":[8],"from":[9],"massive":[10],"time":[11,25],"series":[12,26],"data":[13],"has":[14],"become":[15],"an":[16],"urgent":[17],"demand,":[18],"which":[19],"places":[20],"higher":[21],"requirements":[22],"on":[23,69,124,175],"classification":[27,38,157],"(TSC)":[28],"algorithm.":[29,188],"The":[30,94],"feature-based":[31,50,83,110,172],"TSC":[32,51,84,111,173],"method":[33,112],"achieves":[34],"interpretable":[35],"and":[36,66,145,151,162,169],"potential":[37],"capability":[39],"by":[40],"extracting":[41],"meaningful":[42],"descriptive":[43],"statistical":[44,58],"features.":[45],"Limitations":[46],"exist":[47],"in":[48,78],"current":[49],"algorithms,":[52],"hindering":[53],"acquisition":[55],"diverse":[57],"features":[59,137,154],"due":[60],"to":[61,115,134,138,148,155,181],"a":[62,81,98,106],"lack":[63],"knowledge":[65],"insufficient":[67],"research":[68],"processing":[70],"redundant":[71],"features,":[72],"thereby":[73],"limiting":[74],"performance":[75,158],"enhancements.":[76],"Therefore,":[77],"this":[79],"article,":[80],"novel":[82],"algorithm":[85],"tracking":[86,99],"differentiator-based":[87],"multiview":[88,136,153],"dilated":[89],"characteristics":[90],"(TD-MVDC)":[91],"is":[92,113,132],"proposed.":[93],"innovative":[95],"introduction":[96],"differentiator":[100],"combined":[101],"with":[102,128],"dilation":[103],"mapping":[104],"as":[105],"preprocessor":[107],"into":[108],"proposed":[114,187],"improve":[116],"feature":[117,121,126,140],"diversity":[118],"efficiently.":[119],"Ensemble":[120],"selection":[122],"based":[123],"filter":[125],"selectors":[127],"different":[129],"store":[130],"ratios":[131],"designed":[133],"generate":[135],"enhance":[139],"stability":[141],"quickly.":[142],"Linear":[143],"classifiers":[144],"hard":[146],"voting":[147],"fastly":[149],"classify":[150],"integrate":[152],"increase":[156],"robustly.":[159],"Finally,":[160],"comparative":[161],"ablative":[163],"experiments":[164],"are":[165],"conducted":[166],"between":[167],"TD-MVDC":[168],"representative":[171],"algorithms":[174],"extensively":[177],"compared":[178],"UCR":[179],"archive":[180],"verify":[182],"effectiveness":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
