{"id":"https://openalex.org/W3048645451","doi":"https://doi.org/10.1109/icassp39728.2021.9413914","title":"Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation","display_name":"Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3048645451","doi":"https://doi.org/10.1109/icassp39728.2021.9413914","mag":"3048645451"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.04882","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005253211","display_name":"Tryambak Gangopadhyay","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tryambak Gangopadhyay","raw_affiliation_strings":["Iowa State University","Iowa State University\u2028"],"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Iowa State University\u2028","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217117","display_name":"Sin Yong Tan","orcid":"https://orcid.org/0000-0002-4318-7026"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sin Yong Tan","raw_affiliation_strings":["Iowa State University","Iowa State University\u2028"],"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Iowa State University\u2028","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031212270","display_name":"Zhanhong Jiang","orcid":"https://orcid.org/0000-0001-5363-7898"},"institutions":[{"id":"https://openalex.org/I142262071","display_name":"Johnson Controls (United States)","ror":"https://ror.org/02ky6c719","country_code":"US","type":"company","lineage":["https://openalex.org/I142262071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhanhong Jiang","raw_affiliation_strings":["Johnson Controls","Johnson Controls#TAB#"],"affiliations":[{"raw_affiliation_string":"Johnson Controls","institution_ids":["https://openalex.org/I142262071"]},{"raw_affiliation_string":"Johnson Controls#TAB#","institution_ids":["https://openalex.org/I142262071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012061450","display_name":"Rui Meng","orcid":"https://orcid.org/0000-0002-6910-0929"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Meng","raw_affiliation_strings":["Lawrence Berkeley National Lab","Lawrence Berkeley National Laboratory"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Lab","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Lawrence Berkeley National Laboratory","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081037761","display_name":"Soumik Sarkar","orcid":"https://orcid.org/0000-0002-6775-9199"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumik Sarkar","raw_affiliation_strings":["Iowa State University","Iowa State University\u2028"],"affiliations":[{"raw_affiliation_string":"Iowa State University","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Iowa State University\u2028","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005253211"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.5592,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71511624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3560","last_page":"3564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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":0.9973999857902527,"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":0.9969000220298767,"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/interpretability","display_name":"Interpretability","score":0.9387339353561401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7731873989105225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7010539174079895},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6926007270812988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894844770431519},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5799782872200012},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5314221382141113},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.49381622672080994},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.49140775203704834},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4435267448425293},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4171696901321411},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32230907678604126}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9387339353561401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731873989105225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7010539174079895},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6926007270812988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894844770431519},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5799782872200012},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5314221382141113},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.49381622672080994},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.49140775203704834},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4435267448425293},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4171696901321411},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32230907678604126},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.04882","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.04882","pdf_url":"https://arxiv.org/pdf/2008.04882","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3048645451","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2008.04882.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.04882","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.04882","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/scm3-4g97","is_oa":true,"landing_page_url":"https://doi.org/10.17023/scm3-4g97","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.04882","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.04882","pdf_url":"https://arxiv.org/pdf/2008.04882","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1072749480","display_name":null,"funder_award_id":"FA9550-17","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G260750634","display_name":null,"funder_award_id":"FA9550-17-1","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5450713592","display_name":null,"funder_award_id":"FA9550-17-1-022","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6077316722","display_name":null,"funder_award_id":"FA9550-17-1-0220","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320311090","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048645451.pdf","grobid_xml":"https://content.openalex.org/works/W3048645451.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W2041464849","https://openalex.org/W2064675550","https://openalex.org/W2130942839","https://openalex.org/W2157331557","https://openalex.org/W2174574259","https://openalex.org/W2396881363","https://openalex.org/W2562607067","https://openalex.org/W2613328025","https://openalex.org/W2767894694","https://openalex.org/W2773349507","https://openalex.org/W2804119363","https://openalex.org/W2896827527","https://openalex.org/W2902455138","https://openalex.org/W2904560462","https://openalex.org/W2909848554","https://openalex.org/W2940573101","https://openalex.org/W2943136828","https://openalex.org/W2943921667","https://openalex.org/W2952042565","https://openalex.org/W2959374936","https://openalex.org/W2962736999","https://openalex.org/W2963122061","https://openalex.org/W2963242855","https://openalex.org/W2963271116","https://openalex.org/W2963311488","https://openalex.org/W2963403868","https://openalex.org/W2963532813","https://openalex.org/W2964308564","https://openalex.org/W2967476362","https://openalex.org/W2970840267","https://openalex.org/W2980336810","https://openalex.org/W2986815055","https://openalex.org/W2990075157","https://openalex.org/W2993122943","https://openalex.org/W2995015263","https://openalex.org/W3000499162","https://openalex.org/W3010212622","https://openalex.org/W3021109172","https://openalex.org/W3037618930","https://openalex.org/W3101973032","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6726186668","https://openalex.org/W6739901393","https://openalex.org/W6742092700","https://openalex.org/W6756753118","https://openalex.org/W6762342967","https://openalex.org/W6766931575","https://openalex.org/W6781843396"],"related_works":["https://openalex.org/W3163905744","https://openalex.org/W3126014626","https://openalex.org/W3136511109","https://openalex.org/W2918677551","https://openalex.org/W3011259413","https://openalex.org/W2807135233","https://openalex.org/W2801728181","https://openalex.org/W3027265310","https://openalex.org/W2773583505","https://openalex.org/W3139294691","https://openalex.org/W2584518841","https://openalex.org/W3208231885","https://openalex.org/W3169831079","https://openalex.org/W3190787760","https://openalex.org/W3092664814","https://openalex.org/W2146730620","https://openalex.org/W3186174641","https://openalex.org/W3021539763","https://openalex.org/W3158693775","https://openalex.org/W2207809492"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,72],"series":[2],"modeling":[3],"and":[4,74,86,92,128],"prediction":[5,19,157],"problems":[6],"are":[7,137],"abundant":[8],"in":[9,100,113],"many":[10],"machine":[11],"learning":[12,58,67],"application":[13],"domains.":[14],"Accurate":[15],"interpretation":[16,38],"of":[17,46,68,103,115,163],"the":[18,22,27,34,44,50,69,101,110,133,147,150,161],"outcomes":[20],"from":[21,139],"model":[23,51],"can":[24],"significantly":[25],"benefit":[26,162],"domain":[28,141],"experts.":[29],"In":[30],"addition":[31],"to":[32,42,109],"isolating":[33],"important":[35,71],"time-steps,":[36],"spatial":[37],"is":[39,77,107],"also":[40],"critical":[41],"understand":[43],"contributions":[45],"different":[47],"variables":[48],"on":[49,83,123],"output.":[52],"We":[53,118],"propose":[54],"a":[55,78,124,129,140],"novel":[56],"deep":[57],"architecture,":[59],"called":[60],"spatiotemporal":[61,165],"attention":[62,135],"mechanism":[63],"(STAM)":[64],"for":[65],"simultaneous":[66],"most":[70],"steps":[73],"variables.":[75],"STAM":[76,154],"causal":[79],"(i.e.,":[80,94],"only":[81],"depends":[82],"past":[84],"inputs":[85],"does":[87],"not":[88],"use":[89],"future":[90],"inputs)":[91],"scalable":[93],"scales":[95],"well":[96],"with":[97,146],"an":[98],"increase":[99],"number":[102],"variables)":[104],"approach":[105],"that":[106,153],"comparable":[108],"state-of-the-art":[111,156],"models":[112],"terms":[114],"computational":[116],"tractability.":[117],"demonstrate":[119],"our":[120],"models\u2019":[121],"performance":[122],"popular":[125],"public":[126],"dataset":[127],"domain-specific":[130],"dataset,":[131],"where":[132],"learned":[134],"weights":[136],"validated":[138],"knowledge":[142],"perspective.":[143],"When":[144],"compared":[145],"baseline":[148],"models,":[149],"results":[151],"show":[152],"maintains":[155],"accuracy":[158],"while":[159],"offering":[160],"accurate":[164],"interpretability.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
