{"id":"https://openalex.org/W2913543789","doi":"https://doi.org/10.1109/dsaa.2018.00019","title":"Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network","display_name":"Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2913543789","doi":"https://doi.org/10.1109/dsaa.2018.00019","mag":"2913543789"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2018.00019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2018.00019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5011344269","display_name":"Huai-Shuo Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Huai-Shuo Huang","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031322893","display_name":"Chien\u2010Liang Liu","orcid":"https://orcid.org/0000-0002-2724-7199"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Liang Liu","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043399804","display_name":"Vincent S. Tseng","orcid":"https://orcid.org/0000-0002-4853-1594"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Vincent S. Tseng","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011344269"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":1.8282,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.86887599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":1.0,"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":1.0,"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":0.9872000217437744,"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":0.984499990940094,"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/computer-science","display_name":"Computer science","score":0.7966635227203369},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6979234218597412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.665431559085846},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6327357292175293},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5453947186470032},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5154379606246948},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5008401870727539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4882502853870392},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4783872365951538},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45631372928619385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4429781436920166},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44163843989372253},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42358773946762085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4156554043292999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10624831914901733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966635227203369},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6979234218597412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.665431559085846},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6327357292175293},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5453947186470032},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5154379606246948},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5008401870727539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4882502853870392},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4783872365951538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45631372928619385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4429781436920166},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44163843989372253},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42358773946762085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4156554043292999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10624831914901733},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2018.00019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2018.00019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W600165676","https://openalex.org/W1480685060","https://openalex.org/W1492469144","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1699074795","https://openalex.org/W1815439647","https://openalex.org/W1823409095","https://openalex.org/W1836465849","https://openalex.org/W1973590682","https://openalex.org/W1978371851","https://openalex.org/W1989037929","https://openalex.org/W2000729072","https://openalex.org/W2027096757","https://openalex.org/W2029438113","https://openalex.org/W2039260438","https://openalex.org/W2041486528","https://openalex.org/W2061171222","https://openalex.org/W2064675550","https://openalex.org/W2071194462","https://openalex.org/W2095705004","https://openalex.org/W2098759488","https://openalex.org/W2112796928","https://openalex.org/W2123502857","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2288074780","https://openalex.org/W2306394264","https://openalex.org/W2402972623","https://openalex.org/W2403962807","https://openalex.org/W2560674852","https://openalex.org/W2564745357","https://openalex.org/W2583164363","https://openalex.org/W2618530766","https://openalex.org/W2902455138","https://openalex.org/W2917642208","https://openalex.org/W2964121744","https://openalex.org/W2964350391","https://openalex.org/W4242702158","https://openalex.org/W4293718132","https://openalex.org/W6637242042","https://openalex.org/W6637558073","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6696429117","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2406638334","https://openalex.org/W4391621807","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Early":[0],"classification":[1,42,74,211],"on":[2,72,143,164,212],"multivariate":[3,76,130,213],"time":[4,67,77,116,126,131,214],"series":[5,78,132],"is":[6,30,49,176,189],"an":[7],"important":[8],"research":[9],"topic":[10],"in":[11,90,110,179],"data":[12],"mining":[13],"with":[14,114,133,149],"wide":[15],"applications":[16],"to":[17,39,61,103,205],"various":[18],"domains":[19],"like":[20],"medical":[21],"diagnosis,":[22],"motion":[23],"detection":[24],"and":[25,79,96,107,147,168,200,202],"financial":[26],"prediction,":[27],"etc.":[28],"Shapelet":[29],"probably":[31],"one":[32,45],"of":[33,47,75,128,136,166,185,209],"the":[34,54,111,134,157,161,173,183,190,207],"most":[35],"commonly":[36],"used":[37],"approaches":[38],"tackle":[40],"early":[41,73,210],"problem,":[43],"but":[44],"drawback":[46],"shaplet":[48],"its":[50],"inefficiency.":[51],"More":[52],"importantly,":[53],"extracted":[55],"shapelets":[56],"may":[57],"not":[58],"be":[59],"applicable":[60],"every":[62],"test":[63],"case":[64],"at":[65,124],"any":[66,125],"point.":[68],"This":[69],"work":[70,192],"focuses":[71],"proposes":[80],"a":[81,129,137],"novel":[82],"framework":[83],"named":[84],"Multi-Domain":[85],"Deep":[86],"Neural":[87],"Network":[88],"(MDDNN),":[89],"which":[91],"convolutional":[92],"neural":[93,196],"network":[94,197],"(CNN)":[95],"long-short":[97],"term":[98],"memory":[99],"(LSTM)":[100],"are":[101],"incorporated":[102],"learn":[104],"feature":[105],"representation":[106],"relationship":[108],"embedding":[109],"long":[112,115],"sequences":[113],"lags.":[117],"The":[118,152],"proposed":[119,158,174],"model":[120,175],"can":[121],"make":[122],"predictions":[123],"point":[127],"help":[135],"truncation":[138],"process.":[139],"We":[140],"conducted":[141],"experiments":[142],"four":[144],"real":[145],"datasets":[146],"compared":[148],"state-of-the-art":[150],"algorithms.":[151],"experimental":[153],"results":[154],"indicate":[155],"that":[156,193],"method":[159],"outperforms":[160],"alternatives":[162],"significantly":[163],"both":[165],"earliness":[167],"accuracy.":[169],"Detailed":[170],"analysis":[171],"about":[172],"also":[177],"provided":[178],"this":[180,188],"work.":[181],"To":[182],"best":[184],"our":[186],"knowledge,":[187],"first":[191],"incorporates":[194],"deep":[195],"methods":[198],"(CNN":[199],"LSTM)":[201],"multi-domain":[203],"approach":[204],"boost":[206],"problem":[208],"series.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}