{"id":"https://openalex.org/W7133220452","doi":"https://doi.org/10.1007/s13042-025-02906-4","title":"ATFF: adaptive temporal feature fusion method for multivariate time series classification","display_name":"ATFF: adaptive temporal feature fusion method for multivariate time series classification","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133220452","doi":"https://doi.org/10.1007/s13042-025-02906-4"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-025-02906-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02906-4","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","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/A5083745549","display_name":"Cuicui Yang","orcid":"https://orcid.org/0000-0002-4471-7447"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuicui Yang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011258137","display_name":"Zhou Fan","orcid":"https://orcid.org/0000-0002-7425-894X"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwen Fan","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127843531","display_name":"Cheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127789459","display_name":"Jin Gou","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Gou","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127851942","display_name":"Yongxin Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Liao","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, 668 Jimei Road, Xiamen, Jimei District, 361021, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5127789459"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79066887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9872000217437744,"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":0.9872000217437744,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.002400000113993883,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0007999999797903001,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.65829998254776},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5845999717712402},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5637000203132629},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5472000241279602},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5056999921798706},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4964999854564667},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48399999737739563},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4634999930858612}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7519999742507935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297000288963318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.65829998254776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5056999921798706},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4964999854564667},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3564999997615814},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-025-02906-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-025-02906-4","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","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":43,"referenced_works":["https://openalex.org/W2030863907","https://openalex.org/W2166547175","https://openalex.org/W2283896980","https://openalex.org/W2468738844","https://openalex.org/W2616247523","https://openalex.org/W2783323081","https://openalex.org/W2792764867","https://openalex.org/W2955983821","https://openalex.org/W2963434542","https://openalex.org/W2972810968","https://openalex.org/W2997546679","https://openalex.org/W2998010409","https://openalex.org/W3034999176","https://openalex.org/W3049383528","https://openalex.org/W3094897602","https://openalex.org/W3115948762","https://openalex.org/W3119316801","https://openalex.org/W3146687796","https://openalex.org/W3152753009","https://openalex.org/W3157408989","https://openalex.org/W3199148273","https://openalex.org/W3211522713","https://openalex.org/W3214012455","https://openalex.org/W4212824777","https://openalex.org/W4281899822","https://openalex.org/W4288732248","https://openalex.org/W4289360400","https://openalex.org/W4291034555","https://openalex.org/W4291280485","https://openalex.org/W4293477908","https://openalex.org/W4310128778","https://openalex.org/W4367042966","https://openalex.org/W4380739767","https://openalex.org/W4383343597","https://openalex.org/W4386266197","https://openalex.org/W4390727864","https://openalex.org/W4391341263","https://openalex.org/W4391708094","https://openalex.org/W4392151673","https://openalex.org/W4392755014","https://openalex.org/W4396708177","https://openalex.org/W4401428160","https://openalex.org/W4412086254"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-04T07:04:00.330322","created_date":"2026-03-03T00:00:00"}
