{"id":"https://openalex.org/W2972393922","doi":"https://doi.org/10.1145/3341162.3345609","title":"Unsupervised domain adaptation for robust sensory systems","display_name":"Unsupervised domain adaptation for robust sensory systems","publication_year":2019,"publication_date":"2019-09-09","ids":{"openalex":"https://openalex.org/W2972393922","doi":"https://doi.org/10.1145/3341162.3345609","mag":"2972393922"},"language":"en","primary_location":{"id":"doi:10.1145/3341162.3345609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341162.3345609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10084334/1/cmliot%20%283%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020784139","display_name":"Akhil Mathur","orcid":"https://orcid.org/0000-0002-1475-3017"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Akhil Mathur","raw_affiliation_strings":["Nokia Bell Labs and UCL Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs and UCL Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085330955","display_name":"Anton Isopoussu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anton Isopoussu","raw_affiliation_strings":["Nokia Bell Labs, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072897829","display_name":"Nadia Bianchi\u2010Berthouze","orcid":"https://orcid.org/0000-0001-8921-0044"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nadia Berthouze","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045638679","display_name":"Nicholas D. Lane","orcid":"https://orcid.org/0000-0002-2728-8273"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicholas D. Lane","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053438231","display_name":"Fahim Kawsar","orcid":"https://orcid.org/0000-0001-5057-9557"},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fahim Kawsar","raw_affiliation_strings":["Nokia Bell Labs and TU Delft, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs and TU Delft, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210098141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"505","last_page":"509"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9799000024795532,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9797000288963318,"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/inference","display_name":"Inference","score":0.7904943227767944},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7904864549636841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7792608737945557},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7607629895210266},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7004413604736328},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5974764823913574},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.5563576817512512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5427975058555603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5345223546028137},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.5009117126464844},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42439475655555725},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.29804664850234985},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09383615851402283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07958793640136719},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07360279560089111}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7904943227767944},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7904864549636841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7792608737945557},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7607629895210266},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7004413604736328},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5974764823913574},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.5563576817512512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5427975058555603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5345223546028137},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.5009117126464844},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42439475655555725},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29804664850234985},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09383615851402283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07958793640136719},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07360279560089111},{"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":3,"locations":[{"id":"doi:10.1145/3341162.3345609","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341162.3345609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10084334","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10084334/","pdf_url":"https://discovery.ucl.ac.uk/10084334/1/cmliot%20%283%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Harle, R and Farrahi, K and Lane, N, (eds.) UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. (pp. pp. 505-509). Association for Computing Machinery (ACM): New York, NY, USA. (2019)","raw_type":"Proceedings paper"},{"id":"mag:3162996271","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002260360952274","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10084334","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10084334/","pdf_url":"https://discovery.ucl.ac.uk/10084334/1/cmliot%20%283%29.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Harle, R and Farrahi, K and Lane, N, (eds.) UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. (pp. pp. 505-509). Association for Computing Machinery (ACM): New York, NY, USA. (2019)","raw_type":"Proceedings paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972393922.pdf","grobid_xml":"https://content.openalex.org/works/W2972393922.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2005666490","https://openalex.org/W2098197972","https://openalex.org/W2114925746","https://openalex.org/W2131147042","https://openalex.org/W2142057670","https://openalex.org/W2165698076","https://openalex.org/W2568504641","https://openalex.org/W2798926091","https://openalex.org/W2921685482","https://openalex.org/W2933224119","https://openalex.org/W3104328743"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W4244076636","https://openalex.org/W2055243143","https://openalex.org/W2399184610","https://openalex.org/W4230176027","https://openalex.org/W2916277247","https://openalex.org/W2022505847","https://openalex.org/W2121787498","https://openalex.org/W1483272040","https://openalex.org/W2149410337"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advances":[2],"in":[3,72,81],"the":[4,31,54,63,78],"performance":[5],"of":[6,33,68],"sensory":[7,43],"inference":[8,44],"models,":[9],"their":[10],"poor":[11],"robustness":[12],"to":[13,41,46,61],"changing":[14],"environmental":[15],"conditions":[16],"and":[17,65],"hardware":[18],"remains":[19],"a":[20,39],"major":[21],"hurdle":[22],"for":[23],"widespread":[24],"adoption.":[25],"In":[26],"this":[27,73,82,91],"paper,":[28],"we":[29,76],"introduce":[30],"concept":[32],"unsupervised":[34],"domain":[35],"adaptation":[36],"which":[37],"is":[38],"technique":[40],"adapt":[42],"models":[45],"new":[47],"domains":[48],"only":[49],"using":[50],"unlabeled":[51],"data":[52],"from":[53],"target":[55],"domain.":[56],"We":[57],"present":[58],"two":[59],"case-studies":[60],"motivate":[62],"problem":[64],"highlight":[66],"some":[67],"our":[69],"recent":[70],"work":[71],"space.":[74],"Finally,":[75],"discuss":[77],"core":[79],"challenges":[80],"space":[83],"that":[84],"can":[85],"trigger":[86],"further":[87],"ubicomp":[88],"research":[89],"on":[90],"topic.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}