{"id":"https://openalex.org/W2957283398","doi":"https://doi.org/10.1109/access.2019.2928641","title":"Time Series Imputation via Integration of Revealed Information Based on the Residual Shortcut Connection","display_name":"Time Series Imputation via Integration of Revealed Information Based on the Residual Shortcut Connection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2957283398","doi":"https://doi.org/10.1109/access.2019.2928641","mag":"2957283398"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928641","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08762121.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08762121.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100628655","display_name":"Jinjin Zhang","orcid":"https://orcid.org/0000-0002-7385-5718"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjin Zhang","raw_affiliation_strings":["Department of Computer Science, Xi'an High-Tech Research Institution, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xi'an High-Tech Research Institution, Xi'an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109081090","display_name":"Xiaodong Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Mu","raw_affiliation_strings":["Department of Computer Science, Xi'an High-Tech Research Institution, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xi'an High-Tech Research Institution, Xi'an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015704749","display_name":"Jiansheng Fang","orcid":"https://orcid.org/0000-0003-0616-7074"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Fang","raw_affiliation_strings":["Guangzhou Shiyuan Electronic Technology Company Limited, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Shiyuan Electronic Technology Company Limited, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100624668","display_name":"Yue Yang","orcid":"https://orcid.org/0000-0002-0288-356X"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yang","raw_affiliation_strings":["Guangzhou Shiyuan Electronic Technology Company Limited, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Shiyuan Electronic Technology Company Limited, Guangzhou, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.704,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":14,"citation_normalized_percentile":{"value":0.756262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"7","issue":null,"first_page":"102397","last_page":"102405"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9963,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9963,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9941,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9908,"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/imputation","display_name":"Imputation (statistics)","score":0.8008714}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.85219455},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8008714},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.79306984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5697327},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.55830044},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43559107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39833444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34085298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25931793},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928641","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08762121.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/a70d4869933b4158a02b9092e9c2a8f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928641","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08762121.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.41,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61601475"},{"funder":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China","award_id":"201555U8010"}],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1512728068","https://openalex.org/W1522301498","https://openalex.org/W1634075355","https://openalex.org/W1924770834","https://openalex.org/W1945395050","https://openalex.org/W1967697497","https://openalex.org/W1983479840","https://openalex.org/W1988904801","https://openalex.org/W2014987542","https://openalex.org/W2064186732","https://openalex.org/W2064675550","https://openalex.org/W2074520246","https://openalex.org/W2141703670","https://openalex.org/W2146332392","https://openalex.org/W2155831674","https://openalex.org/W2156267802","https://openalex.org/W2157331557","https://openalex.org/W2163874082","https://openalex.org/W2164522996","https://openalex.org/W2171118759","https://openalex.org/W2174160981","https://openalex.org/W2194775991","https://openalex.org/W2285597872","https://openalex.org/W2341008988","https://openalex.org/W2517221375","https://openalex.org/W2541674938","https://openalex.org/W2756218217","https://openalex.org/W2775056555","https://openalex.org/W2793692594","https://openalex.org/W2803403013","https://openalex.org/W2887556565","https://openalex.org/W2890686416","https://openalex.org/W2897852178","https://openalex.org/W2914375229","https://openalex.org/W2942048286","https://openalex.org/W2962769218","https://openalex.org/W2964010366"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3179858851","https://openalex.org/W3144172081","https://openalex.org/W3028371478","https://openalex.org/W2903115227","https://openalex.org/W2181530120","https://openalex.org/W2081476516","https://openalex.org/W2055961818","https://openalex.org/W2024529227","https://openalex.org/W1574575415"],"abstract_inverted_index":{"Recovering":[0],"missing":[1,18,107,197,223],"values":[2,182],"plays":[3],"a":[4,32,46,145,189],"significant":[5],"role":[6],"in":[7,11,82,134,183],"time":[8,165],"series":[9],"tasks":[10],"practical":[12],"applications.":[13],"How":[14],"to":[15,44,162,173,194],"replace":[16],"the":[17,22,26,74,104,109,130,156,168,175,184,196,226],"data":[19,198,215,224],"and":[20,49,65,79,96,111,127,158,167,179,216],"build":[21],"dependency":[23],"relations":[24],"from":[25],"incomplete":[27,164],"sample":[28,185],"set":[29],"is":[30,171,192],"still":[31],"challenge.":[33],"The":[34],"previous":[35,110,157,176],"research":[36],"has":[37],"found":[38],"that":[39,93],"residual":[40,138,147],"network":[41,48,63,120],"(ResNet)":[42],"helps":[43],"form":[45],"deep":[47],"cope":[50],"with":[51,121,208,219],"degradation":[52],"problem":[53],"by":[54,69,88],"shortcut":[55,94,125],"connection.":[56],"Gated":[57],"recurrent":[58],"unit":[59,149,191],"(GRU)":[60],"can":[61,102],"improve":[62],"model":[64,103,163],"reduce":[66],"training":[67],"parameters":[68],"update":[70],"gate":[71,78,81],"which":[72,151],"takes":[73,152],"place":[75],"of":[76,98,129,155,205,222,228],"forgetting":[77],"output":[80],"long":[83],"short-term":[84],"memory":[85],"(LSTM).":[86],"Inspired":[87],"this":[89],"finding,":[90],"we":[91,116],"observe":[92],"connection":[95,126],"mean":[97,128,139,148],"global":[99,131,159],"revealed":[100,113,132,160],"information":[101,133,161],"relationship":[105],"among":[106],"items,":[108],"overall":[112],"information.":[114],"Hence,":[115],"design":[117],"an":[118],"imputation":[119,140,211],"decay":[122,137,146,169],"factor":[123,170],"for":[124],"GRU,":[135],"called":[136],"GRU":[141],"(DRMI-GRU).":[142],"We":[143],"introduce":[144],"(DRMU),":[150],"full":[153],"advantage":[154],"series;":[166],"applied":[172],"balance":[174],"long-term":[177],"dependencies":[178],"all":[180],"non-missing":[181],"set.":[186],"In":[187],"addition,":[188],"mask":[190],"designed":[193],"check":[195],"existing":[199,210],"or":[200],"not.":[201],"An":[202],"extensive":[203],"body":[204],"empirical":[206],"comparisons":[207],"other":[209],"algorithms":[212],"over":[213],"real-world":[214],"public":[217],"dataset":[218],"different":[220],"ratio":[221],"verifies":[225],"performance":[227],"our":[229],"model.":[230]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2957283398","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-02-17T02:00:31.921222","created_date":"2019-07-23"}