{"id":"https://openalex.org/W4287218819","doi":"https://doi.org/10.1007/s00180-022-01259-8","title":"Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers","display_name":"Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers","publication_year":2022,"publication_date":"2022-07-25","ids":{"openalex":"https://openalex.org/W4287218819","doi":"https://doi.org/10.1007/s00180-022-01259-8"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-022-01259-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-022-01259-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-022-01259-8.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00180-022-01259-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081201036","display_name":"Fabrizio Maturo","orcid":"https://orcid.org/0000-0002-2362-4970"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fabrizio Maturo","raw_affiliation_strings":["Department of Mathematics and Physics, University of Campania Luigi Vanvitelli, Caserta, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2362-4970","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, University of Campania Luigi Vanvitelli, Caserta, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058021214","display_name":"Rosanna Verde","orcid":"https://orcid.org/0000-0002-9959-4675"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rosanna Verde","raw_affiliation_strings":["Department of Mathematics and Physics, University of Campania Luigi Vanvitelli, Caserta, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, University of Campania Luigi Vanvitelli, Caserta, Italy","institution_ids":["https://openalex.org/I197809005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081201036"],"corresponding_institution_ids":["https://openalex.org/I197809005"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":2.7946,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90392619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"39","issue":"1","first_page":"239","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9944999814033508,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060037851333618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6946873068809509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.63816237449646},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5384405255317688},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5137940049171448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48095956444740295},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45418867468833923},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4455448389053345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3477410674095154},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1900804042816162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14829272031784058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060037851333618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6946873068809509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.63816237449646},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5384405255317688},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5137940049171448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48095956444740295},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45418867468833923},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4455448389053345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3477410674095154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1900804042816162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14829272031784058},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-022-01259-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-022-01259-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-022-01259-8.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:39:y:2024:i:1:d:10.1007_s00180-022-01259-8","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-022-01259-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"doi:10.1007/s00180-022-01259-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-022-01259-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-022-01259-8.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325777","display_name":"Universit\u00e0 degli Studi della Campania Luigi Vanvitelli","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287218819.pdf","grobid_xml":"https://content.openalex.org/works/W4287218819.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1579694346","https://openalex.org/W1925427981","https://openalex.org/W1969842547","https://openalex.org/W1979447761","https://openalex.org/W1983908352","https://openalex.org/W1990881776","https://openalex.org/W2000454470","https://openalex.org/W2008914815","https://openalex.org/W2042446963","https://openalex.org/W2059956833","https://openalex.org/W2079815272","https://openalex.org/W2139141177","https://openalex.org/W2171461659","https://openalex.org/W2766494917","https://openalex.org/W2787894218","https://openalex.org/W2790339063","https://openalex.org/W2884874343","https://openalex.org/W2886385474","https://openalex.org/W2911964244","https://openalex.org/W2983844457","https://openalex.org/W4212944653","https://openalex.org/W4232750513","https://openalex.org/W4251011993","https://openalex.org/W4281878318","https://openalex.org/W4292156489","https://openalex.org/W4399582322"],"related_works":["https://openalex.org/W3148060700","https://openalex.org/W3196155444","https://openalex.org/W2531570999","https://openalex.org/W1756896031","https://openalex.org/W2921630034","https://openalex.org/W2348322200","https://openalex.org/W3162567751","https://openalex.org/W4285260836","https://openalex.org/W4319309271","https://openalex.org/W3094076422"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"offers":[3],"a":[4,20],"supervised":[5,16,57],"classification":[6,17,22,48,58],"strategy":[7],"that":[8,113],"combines":[9],"functional":[10,30,56],"data":[11,31,45,72],"analysis":[12],"with":[13,75,96],"unsupervised":[14,47],"and":[15,73,86,120],"methods.":[18],"Specifically,":[19],"two-steps":[21],"technique":[23,85],"for":[24],"high-dimensional":[25],"time":[26],"series":[27],"treated":[28],"as":[29],"is":[32,37,99,118],"suggested.":[33],"The":[34,52,68,110],"first":[35],"stage":[36],"based":[38],"on":[39,70],"extracting":[40],"additional":[41],"knowledge":[42],"from":[43],"the":[44,60,76,80,83,104,107],"using":[46],"employing":[49],"suitable":[50],"metrics.":[51],"second":[53],"phase":[54],"applies":[55],"of":[59,82,91,106,116,122],"new":[61],"patterns":[62],"learned":[63],"via":[64],"appropriate":[65],"basis":[66],"representations.":[67],"experiments":[69],"ECG":[71],"comparison":[74],"classical":[77],"approaches":[78],"show":[79],"effectiveness":[81],"proposed":[84],"exciting":[87],"refinement":[88],"in":[89],"terms":[90],"accuracy.":[92],"A":[93],"simulation":[94],"study":[95],"six":[97],"scenarios":[98],"also":[100],"offered":[101],"to":[102],"demonstrate":[103],"efficacy":[105],"suggested":[108],"strategy.":[109],"results":[111],"reveal":[112],"this":[114],"line":[115],"investigation":[117],"compelling":[119],"worthy":[121],"further":[123],"development.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
