{"id":"https://openalex.org/W4304092624","doi":"https://doi.org/10.1145/3503161.3548167","title":"Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift","display_name":"Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304092624","doi":"https://doi.org/10.1145/3503161.3548167"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548167","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548167","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049110928","display_name":"Felix Ott","orcid":"https://orcid.org/0000-0002-4392-0830"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Ott","raw_affiliation_strings":["Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits & LMU Munich, N\u00fcrnberg, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits & LMU Munich, N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067248213","display_name":"David R\u00fcgamer","orcid":"https://orcid.org/0000-0002-8772-9202"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David R\u00fcgamer","raw_affiliation_strings":["LMU Munich & RWTH Aachen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich & RWTH Aachen, Munich, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073940195","display_name":"Lucas Heublein","orcid":"https://orcid.org/0000-0001-6670-3698"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lucas Heublein","raw_affiliation_strings":["Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits, N\u00fcrnberg, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits, N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069072700","display_name":"Bernd Bischl","orcid":"https://orcid.org/0000-0001-6002-6980"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Bischl","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023277657","display_name":"Christopher Mutschler","orcid":"https://orcid.org/0000-0001-8108-0230"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christopher Mutschler","raw_affiliation_strings":["Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits, N\u00fcrnberg, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits, N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I4210124274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049110928"],"corresponding_institution_ids":["https://openalex.org/I4210124274","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":3.4437,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94016958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5934","last_page":"5943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9943000078201294,"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":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.7533915042877197},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5695875287055969},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.538394033908844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5335583686828613},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46880748867988586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4508976936340332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4362579882144928},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41507643461227417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41108548641204834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3913480341434479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1456197202205658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533915042877197},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5695875287055969},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.538394033908844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5335583686828613},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46880748867988586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4508976936340332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4362579882144928},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41507643461227417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41108548641204834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3913480341434479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1456197202205658},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503161.3548167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548167","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/446060","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/446060","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":{"id":"doi:10.1145/3503161.3548167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548167","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3467264548","display_name":null,"funder_award_id":"01IS18036A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G6955755495","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320330033","display_name":"ADA Lovelace Center for Analytics, Data, Applications","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304092624.pdf","grobid_xml":"https://content.openalex.org/works/W4304092624.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W1594039573","https://openalex.org/W1677409904","https://openalex.org/W1722318740","https://openalex.org/W1965167605","https://openalex.org/W1982696459","https://openalex.org/W2004273576","https://openalex.org/W2005650084","https://openalex.org/W2014102731","https://openalex.org/W2055597244","https://openalex.org/W2075843680","https://openalex.org/W2104094955","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2123261262","https://openalex.org/W2131953535","https://openalex.org/W2142069714","https://openalex.org/W2163345210","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2199825521","https://openalex.org/W2329664094","https://openalex.org/W2344824106","https://openalex.org/W2418667810","https://openalex.org/W2430554907","https://openalex.org/W2514499445","https://openalex.org/W2551393996","https://openalex.org/W2754051771","https://openalex.org/W2762270358","https://openalex.org/W2766328202","https://openalex.org/W2889153461","https://openalex.org/W2944174022","https://openalex.org/W2963026768","https://openalex.org/W2964117661","https://openalex.org/W2964130424","https://openalex.org/W2967141048","https://openalex.org/W2972810968","https://openalex.org/W2975761873","https://openalex.org/W2997962351","https://openalex.org/W2998083796","https://openalex.org/W3005485628","https://openalex.org/W3009330671","https://openalex.org/W3083891030","https://openalex.org/W3087417110","https://openalex.org/W3089776735","https://openalex.org/W3093774720","https://openalex.org/W3115533775","https://openalex.org/W3188872815","https://openalex.org/W4200225447","https://openalex.org/W4213324236","https://openalex.org/W4220707558","https://openalex.org/W4287245321","https://openalex.org/W4296902001","https://openalex.org/W6651809871","https://openalex.org/W6795007937"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2055243143","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2900584650"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2],"a":[3,15,51,55,60,70,94],"machine":[4],"learning":[5],"model":[6],"degrades":[7],"when":[8],"it":[9,23],"is":[10],"applied":[11],"to":[12,54,58,89,119,153],"data":[13,22,49],"from":[14,50,86,93],"similar":[16],"but":[17],"different":[18],"domain":[19,32,35,53,57,65,92,144],"than":[20],"the":[21,46,87,90,104,121,155],"has":[24],"initially":[25],"been":[26],"trained":[27],"on.":[28],"To":[29],"mitigate":[30],"this":[31],"shift":[33,145],"problem,":[34],"adaptation":[36],"(DA)":[37],"techniques":[38,118],"search":[39,80],"for":[40,81],"an":[41,82,137],"optimal":[42,83,99],"transformation":[43,85,123],"that":[44,63],"converts":[45],"(current)":[47],"input":[48],"source":[52,88],"target":[56,91],"learn":[59],"domain-invariant":[61],"representation":[62],"reduces":[64],"discrepancy.":[66],"This":[67],"paper":[68],"proposes":[69],"novel":[71],"supervised":[72],"DA":[73],"based":[74],"on":[75,140],"two":[76],"steps.":[77],"First,":[78],"we":[79,114],"class-dependent":[84],"few":[95],"samples.":[96],"We":[97,126,135],"consider":[98],"transport":[100,109],"methods":[101],"such":[102],"as":[103],"earth":[105],"mover's":[106],"distance,":[107],"Sinkhorn":[108],"and":[110,130,148],"correlation":[111,128],"alignment.":[112],"Second,":[113],"use":[115,127],"embedding":[116],"similarity":[117],"select":[120],"corresponding":[122],"at":[124],"inference.":[125],"metrics":[129],"higher-order":[131],"moment":[132],"matching":[133],"techniques.":[134],"conduct":[136],"extensive":[138],"evaluation":[139],"time-series":[141],"datasets":[142,152],"with":[143],"including":[146],"simulated":[147],"various":[149],"online":[150],"handwriting":[151],"demonstrate":[154],"performance.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}