{"id":"https://openalex.org/W4372263439","doi":"https://doi.org/10.1109/icassp49357.2023.10097273","title":"Towards Diverse and Coherent Augmentation for Time-Series Forecasting","display_name":"Towards Diverse and Coherent Augmentation for Time-Series Forecasting","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372263439","doi":"https://doi.org/10.1109/icassp49357.2023.10097273"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100725664","display_name":"Xiyuan Zhang","orcid":"https://orcid.org/0000-0002-8908-1307"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiyuan Zhang","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,USA","University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067912458","display_name":"Ranak Roy Chowdhury","orcid":"https://orcid.org/0000-0002-8705-7485"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranak Roy Chowdhury","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,USA","University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039500313","display_name":"Jingbo Shang","orcid":"https://orcid.org/0000-0002-7249-4404"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingbo Shang","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,USA","University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047824287","display_name":"Rajesh Gupta","orcid":"https://orcid.org/0000-0002-3225-844X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajesh Gupta","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,USA","University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088730125","display_name":"Dezhi Hong","orcid":"https://orcid.org/0000-0001-5224-6043"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dezhi Hong","raw_affiliation_strings":["Amazon"],"affiliations":[{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100725664"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.7849,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.694082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9980000257492065,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7598153352737427},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7153494358062744},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6697961091995239},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5848380923271179},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5437345504760742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5266784429550171},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4946732223033905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43327391147613525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4061238765716553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36829718947410583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12763604521751404},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.089989572763443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598153352737427},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7153494358062744},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6697961091995239},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5848380923271179},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5437345504760742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5266784429550171},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4946732223033905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43327391147613525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4061238765716553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36829718947410583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12763604521751404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.089989572763443},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/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":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2053141315","https://openalex.org/W2260161590","https://openalex.org/W2515503816","https://openalex.org/W2765407302","https://openalex.org/W2773662615","https://openalex.org/W2864662136","https://openalex.org/W2888026659","https://openalex.org/W2889505988","https://openalex.org/W2901593983","https://openalex.org/W2936774411","https://openalex.org/W2963034797","https://openalex.org/W2970360512","https://openalex.org/W3007103823","https://openalex.org/W3015872373","https://openalex.org/W3030907323","https://openalex.org/W3046296398","https://openalex.org/W3093774720","https://openalex.org/W3099795053","https://openalex.org/W3173748501","https://openalex.org/W3177318507","https://openalex.org/W3177494603","https://openalex.org/W3181655313","https://openalex.org/W3191026187","https://openalex.org/W3212890323","https://openalex.org/W4289704203","https://openalex.org/W4294583247","https://openalex.org/W4320013936","https://openalex.org/W6738960736","https://openalex.org/W6745136726","https://openalex.org/W6754000701","https://openalex.org/W6754477931","https://openalex.org/W6756645544","https://openalex.org/W6767782324","https://openalex.org/W6773950905","https://openalex.org/W6797155008","https://openalex.org/W6800239483"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W4394131749","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Time-series":[0],"data":[1,9,56,166],"augmentation":[2,16,31,39,167,172],"mitigates":[3],"the":[4,33,50,66,89,94,105,120,127,134,162],"issue":[5],"of":[6,130],"insufficient":[7],"training":[8],"for":[10,21,41,80],"deep":[11],"learning":[12],"models.":[13],"Yet,":[14],"existing":[15],"methods":[17],"are":[18],"mainly":[19],"designed":[20,40],"classification,":[22],"where":[23],"class":[24],"labels":[25],"can":[26],"be":[27],"preserved":[28],"even":[29],"if":[30],"alters":[32],"temporal":[34,52,122],"dynamics.":[35,53],"We":[36],"note":[37],"that":[38,142,159],"forecasting":[42],"requires":[43],"diversity":[44],"as":[45,47,124,145,147,168,170],"well":[46,146,169],"coherence":[48],"with":[49,107,119],"original":[51,121],"As":[54],"time-series":[55,156],"generated":[57],"by":[58],"real-life":[59],"physical":[60],"processes":[61],"exhibit":[62],"characteristics":[63],"in":[64,88],"both":[65],"time":[67,101,135],"and":[68,76,84,103],"frequency":[69,90],"domains,":[70],"we":[71,92,112,137],"propose":[72],"to":[73,98],"combine":[74],"Spectral":[75],"Time":[77],"Augmentation":[78],"(STAug)":[79],"generating":[81],"more":[82],"diverse":[83,114,144],"coherent":[85,118,150],"samples.":[86,151],"Specifically,":[87],"domain,":[91,136],"use":[93],"Empirical":[95],"Mode":[96],"Decomposition":[97],"decompose":[99],"a":[100,139],"series":[102],"reassemble":[104],"subcomponents":[106],"random":[108],"weights.":[109],"This":[110],"way,":[111],"generate":[113],"samples":[115],"while":[116],"being":[117],"relationships":[123],"they":[125],"contain":[126],"same":[128],"set":[129],"base":[131,163],"components.":[132],"In":[133],"adapt":[138],"mix-up":[140],"strategy":[141],"generates":[143],"linearly":[148],"in-between":[149],"Experiments":[152],"on":[153],"five":[154],"real-world":[155],"datasets":[157],"demonstrate":[158],"STAug":[160],"outperforms":[161],"models":[164],"without":[165],"state-of-the-art":[171],"methods.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}