{"id":"https://openalex.org/W4213089959","doi":"https://doi.org/10.1145/3502905","title":"Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series","display_name":"Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series","publication_year":2022,"publication_date":"2022-02-15","ids":{"openalex":"https://openalex.org/W4213089959","doi":"https://doi.org/10.1145/3502905"},"language":"en","primary_location":{"id":"doi:10.1145/3502905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502905","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet of Things","raw_type":"journal-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/A5014592910","display_name":"Amir Hussein","orcid":"https://orcid.org/0000-0002-0820-4062"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Amir Hussein","raw_affiliation_strings":["American University of Beirut, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088085383","display_name":"Hazem Hajj","orcid":"https://orcid.org/0000-0002-9954-7924"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazem Hajj","raw_affiliation_strings":["Intel Corporation, Portland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Portland, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5746,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8513713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"3","issue":"2","first_page":"1","last_page":"26"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9951000213623047,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6782346963882446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6033132076263428},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5797696709632874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660620927810669},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5524699091911316},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5460562109947205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49294233322143555},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4493461549282074},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4401963949203491},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.43967851996421814},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4253837764263153},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.41044771671295166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35263776779174805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2971191108226776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17236629128456116},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09243112802505493},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.08159363269805908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782346963882446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6033132076263428},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5797696709632874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660620927810669},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5524699091911316},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5460562109947205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49294233322143555},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4493461549282074},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4401963949203491},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43967851996421814},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4253837764263153},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.41044771671295166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35263776779174805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2971191108226776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17236629128456116},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09243112802505493},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.08159363269805908},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502905","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet of Things","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W1971361852","https://openalex.org/W2017151706","https://openalex.org/W2037265949","https://openalex.org/W2057907879","https://openalex.org/W2085478833","https://openalex.org/W2085535099","https://openalex.org/W2096013205","https://openalex.org/W2101622311","https://openalex.org/W2118615835","https://openalex.org/W2143104527","https://openalex.org/W2163228680","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2270470215","https://openalex.org/W2293078015","https://openalex.org/W2312004824","https://openalex.org/W2340025709","https://openalex.org/W2514114051","https://openalex.org/W2605488490","https://openalex.org/W2611885129","https://openalex.org/W2784231336","https://openalex.org/W2786808285","https://openalex.org/W2792481164","https://openalex.org/W2794717185","https://openalex.org/W2805394970","https://openalex.org/W2883074505","https://openalex.org/W2889945482","https://openalex.org/W2895979207","https://openalex.org/W2901823958","https://openalex.org/W2906031885","https://openalex.org/W2913340405","https://openalex.org/W2927635891","https://openalex.org/W2942992487","https://openalex.org/W2963877604","https://openalex.org/W2998115938","https://openalex.org/W3003860764","https://openalex.org/W3011074022","https://openalex.org/W3039883906","https://openalex.org/W3087629101","https://openalex.org/W4288529560","https://openalex.org/W4302415202"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W4295929828","https://openalex.org/W3156096827","https://openalex.org/W4287890001"],"abstract_inverted_index":{"In":[0],"many":[1],"real-world":[2],"scenarios,":[3],"machine":[4],"learning":[5,43,94],"models":[6,107],"fall":[7],"short":[8],"in":[9,131,138,181],"prediction":[10],"performance":[11],"due":[12],"to":[13,23,34,58,148,159],"data":[14],"characteristics":[15],"changing":[16],"from":[17],"training":[18],"on":[19,25],"one":[20],"source":[21,67,104],"domain":[22,44,75,183],"testing":[24],"a":[26,85,149,161],"target":[27,69,106],"domain.":[28],"There":[29],"has":[30,145],"been":[31,146],"extensive":[32],"research":[33],"address":[35,80],"this":[36],"problem":[37],"with":[38,92,140,192],"Domain":[39],"Adaptation":[40],"(DA)":[41],"for":[42,51,128],"invariant":[45],"features.":[46],"However,":[47],"when":[48],"considering":[49],"advances":[50,125],"time":[52,129,188],"series,":[53],"those":[54],"methods":[55],"remain":[56],"limited":[57,147],"the":[59,72,97,110,115,126,132,165,176,179],"use":[60,73],"of":[61,74,103,134,155,169,178,186],"hard":[62],"parameter":[63,87],"sharing":[64,88],"(HPS)":[65],"between":[66,101],"and":[68,71,105,108,137,167,195],"models,":[70],"adaptation":[76,111,184],"objective":[77],"function.":[78],"To":[79],"these":[81],"challenges,":[82],"we":[83],"propose":[84],"soft":[86],"(SPS)":[89],"DA":[90],"architecture":[91,124],"representation":[93],"while":[95],"modeling":[96,109],"relation":[98],"as":[99,114],"non-linear":[100],"parameters":[102],"loss":[112],"function":[113],"squared":[116],"Maximum":[117],"Mean":[118],"Discrepancy":[119],"(MMD)":[120],".":[121],"The":[122],"proposed":[123],"state-of-the-art":[127],"series":[130,189],"context":[133],"activity":[135,190],"recognition":[136,191],"fields":[139],"other":[141],"modalities,":[142],"where":[143],"SPS":[144],"linear":[150],"relation.":[151],"An":[152],"additional":[153],"contribution":[154],"our":[156],"work":[157],"is":[158],"provide":[160],"study":[162],"that":[163],"demonstrates":[164],"strengths":[166],"limitations":[168],"HPS":[170],"versus":[171],"SPS.":[172],"Experiment":[173],"results":[174],"showed":[175],"success":[177],"method":[180],"three":[182],"cases":[185],"multivariate":[187],"different":[193],"users":[194],"sensors.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
