{"id":"https://openalex.org/W4302283541","doi":"https://doi.org/10.1007/s10489-022-04176-x","title":"Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification","display_name":"Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4302283541","doi":"https://doi.org/10.1007/s10489-022-04176-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04176-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04176-x","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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":null,"display_name":"Qi-Qiao He","orcid":"https://orcid.org/0000-0001-8468-6182"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Qi-Qiao He","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-8468-6182","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102848446","display_name":"Shirley W. I. Siu","orcid":"https://orcid.org/0000-0002-3695-7758"},"institutions":[{"id":"https://openalex.org/I4210108537","display_name":"University of Saint Joseph","ror":"https://ror.org/01m6ap410","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108537"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shirley Weng In Siu","raw_affiliation_strings":["Institute of Science and Environment, University of Saint Joseph, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Environment, University of Saint Joseph, Macau, China","institution_ids":["https://openalex.org/I4210108537"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022730826","display_name":"Yain\u2010Whar Si","orcid":"https://orcid.org/0000-0001-8468-6182"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Yain-Whar Si","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022730826"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.0441,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73988295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"53","issue":"11","first_page":"13110","last_page":"13129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8297944068908691},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.678557276725769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570802628993988},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5643948316574097},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5359704494476318},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5268018245697021},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5232816338539124},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.513064980506897},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5054564476013184},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49967432022094727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4948706030845642},{"id":"https://openalex.org/keywords/effective-domain","display_name":"Effective domain","score":0.4910578727722168},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.4480029046535492},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.42690199613571167},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42294520139694214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3668202757835388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32369130849838257},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15326043963432312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12103509902954102},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.08286726474761963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8297944068908691},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.678557276725769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570802628993988},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5643948316574097},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5359704494476318},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5268018245697021},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5232816338539124},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.513064980506897},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5054564476013184},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49967432022094727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4948706030845642},{"id":"https://openalex.org/C58385900","wikidata":"https://www.wikidata.org/wiki/Q5347254","display_name":"Effective domain","level":5,"score":0.4910578727722168},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.4480029046535492},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.42690199613571167},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42294520139694214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3668202757835388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32369130849838257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15326043963432312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12103509902954102},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.08286726474761963},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.0},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-04176-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04176-x","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G456634235","display_name":null,"funder_award_id":"MYRG2019-00136-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1857789879","https://openalex.org/W2017634428","https://openalex.org/W2018690964","https://openalex.org/W2057907879","https://openalex.org/W2165698076","https://openalex.org/W2342792048","https://openalex.org/W2553915786","https://openalex.org/W2898843852","https://openalex.org/W2903957468","https://openalex.org/W2964288524","https://openalex.org/W2969829860","https://openalex.org/W3080108946","https://openalex.org/W3080683114","https://openalex.org/W3177117566","https://openalex.org/W3198125731","https://openalex.org/W3207999419","https://openalex.org/W4210432499","https://openalex.org/W4213089959","https://openalex.org/W4214752492","https://openalex.org/W4255601674","https://openalex.org/W6704017408"],"related_works":["https://openalex.org/W3035557009","https://openalex.org/W2955172689","https://openalex.org/W2341113105","https://openalex.org/W3132602785","https://openalex.org/W3204418343","https://openalex.org/W3046182208","https://openalex.org/W2186589590","https://openalex.org/W2137901802","https://openalex.org/W4297818280","https://openalex.org/W2397710600"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
