{"id":"https://openalex.org/W4397293304","doi":"https://doi.org/10.1007/s10618-024-01027-w","title":"Unsupervised feature based algorithms for time series extrinsic regression","display_name":"Unsupervised feature based algorithms for time series extrinsic regression","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4397293304","doi":"https://doi.org/10.1007/s10618-024-01027-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-024-01027-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01027-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01027-w.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","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/s10618-024-01027-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039083315","display_name":"David Guijo-Rubio","orcid":"https://orcid.org/0000-0002-8035-4057"},"institutions":[{"id":"https://openalex.org/I1118541","display_name":"University of East Anglia","ror":"https://ror.org/026k5mg93","country_code":"GB","type":"education","lineage":["https://openalex.org/I1118541"]},{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"David Guijo-Rubio","raw_affiliation_strings":["Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, C\u00f3rdoba, Spain","School of Computing Sciences, University of East Anglia, Norwich, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077659042","display_name":"Matthew Middlehurst","orcid":"https://orcid.org/0000-0002-3293-8779"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Middlehurst","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025356704","display_name":"Guilherme Arcencio","orcid":null},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme Arcencio","raw_affiliation_strings":["Department of Computing, Universidade Federal de S\u00e3o Carlos, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Universidade Federal de S\u00e3o Carlos, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063761460","display_name":"Diego Furtado Silva","orcid":"https://orcid.org/0000-0002-5184-9413"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego Furtado Silva","raw_affiliation_strings":["Institute of Mathematics and Computer Sciences, Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Sciences, Universidade de S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052586692","display_name":"Anthony Bagnall","orcid":"https://orcid.org/0000-0003-2360-8994"},"institutions":[{"id":"https://openalex.org/I1118541","display_name":"University of East Anglia","ror":"https://ror.org/026k5mg93","country_code":"GB","type":"education","lineage":["https://openalex.org/I1118541"]},{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anthony Bagnall","raw_affiliation_strings":["School of Computing Sciences, University of East Anglia, Norwich, UK","School of Electronics and Computer Science, University of Southampton, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]},{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052586692"],"corresponding_institution_ids":["https://openalex.org/I1118541","https://openalex.org/I43439940"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":3.0105,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92241468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"38","issue":"4","first_page":"2141","last_page":"2185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9801999926567078,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6978251338005066},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6418596506118774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363696455955505},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5561196804046631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519703209400177},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5118588805198669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49963974952697754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45963746309280396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4270889163017273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3754989206790924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2513915002346039},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1866331696510315}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6978251338005066},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6418596506118774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363696455955505},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5561196804046631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519703209400177},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5118588805198669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49963974952697754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45963746309280396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4270889163017273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3754989206790924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2513915002346039},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1866331696510315},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-024-01027-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01027-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01027-w.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:eprints.soton.ac.uk:503163","is_oa":true,"landing_page_url":"http://doi.org/10.1007/s10618-024-01027-w>).","pdf_url":"https://eprints.soton.ac.uk/503163/1/s10618-024-01027-w.pdf","source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"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/s10618-024-01027-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01027-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01027-w.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.75,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2893975052","display_name":null,"funder_award_id":"#2022/03176-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G4175756314","display_name":null,"funder_award_id":"EP/W030756/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6947954355","display_name":"aeon: a toolkit for machine learning with time series","funder_award_id":"EP/W030756/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7100567637","display_name":null,"funder_award_id":"#2022/12486-4 and #2022/00305-5","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G8771733650","display_name":null,"funder_award_id":"UCOR01MS","funder_id":"https://openalex.org/F7311471023","funder_display_name":"NextGenerationEU"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F7311471023","display_name":"NextGenerationEU","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4397293304.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W242540098","https://openalex.org/W1534304300","https://openalex.org/W1565746575","https://openalex.org/W1968354112","https://openalex.org/W2005068856","https://openalex.org/W2030863907","https://openalex.org/W2041258712","https://openalex.org/W2082137964","https://openalex.org/W2089174218","https://openalex.org/W2150757437","https://openalex.org/W2166547175","https://openalex.org/W2174574259","https://openalex.org/W2194775991","https://openalex.org/W2283896980","https://openalex.org/W2295598076","https://openalex.org/W2486737114","https://openalex.org/W2555077524","https://openalex.org/W2598525681","https://openalex.org/W2619178312","https://openalex.org/W2752432857","https://openalex.org/W2765753848","https://openalex.org/W2802314367","https://openalex.org/W2890803903","https://openalex.org/W2892035503","https://openalex.org/W2911964244","https://openalex.org/W2942606504","https://openalex.org/W2951213053","https://openalex.org/W2967988901","https://openalex.org/W2970148418","https://openalex.org/W2972810968","https://openalex.org/W2982438846","https://openalex.org/W2997546679","https://openalex.org/W3035125997","https://openalex.org/W3042807565","https://openalex.org/W3080921724","https://openalex.org/W3083891030","https://openalex.org/W3112436251","https://openalex.org/W3115948762","https://openalex.org/W3128007949","https://openalex.org/W3134882343","https://openalex.org/W3186145246","https://openalex.org/W3202364339","https://openalex.org/W3209650012","https://openalex.org/W4283787275","https://openalex.org/W4285183459","https://openalex.org/W4290927761","https://openalex.org/W4293702644","https://openalex.org/W4297957988","https://openalex.org/W4302441299","https://openalex.org/W4386861026","https://openalex.org/W4394957446","https://openalex.org/W6946334504","https://openalex.org/W6958001249"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W4394131749","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Abstract":[0],"Time":[1],"Series":[2],"Extrinsic":[3],"Regression":[4],"(TSER)":[5],"involves":[6],"using":[7],"a":[8,16,20,71,100,104,125,130,133,141,147,189],"set":[9],"of":[10,19,50,61,74,81,93,103,129,136],"training":[11],"time":[12,120],"series":[13,121],"to":[14,29,53,69,173],"form":[15],"predictive":[17],"model":[18],"continuous":[21],"response":[22],"variable":[23],"that":[24,91,150,162,186],"is":[25,124,146,182],"not":[26],"directly":[27],"related":[28,117],"the":[30,48,58,67,78,86,94,174,183],"regressor":[31],"series.":[32],"The":[33],"TSER":[34,82,113],"archive":[35,52],"for":[36],"comparing":[37],"algorithms":[38,114],"was":[39],"released":[40],"in":[41,85,119],"2022":[42],"with":[43,166],"19":[44],"problems.":[45],"We":[46,64,89,109],"increase":[47],"size":[49],"this":[51],"63":[54],"problems":[55],"and":[56,77],"reproduce":[57],"previous":[59,87],"comparison":[60,68],"baseline":[62],"algorithms.":[63],"then":[65],"extend":[66],"include":[70],"wider":[72],"range":[73,135],"standard":[75,105,190],"regressors":[76,97,177],"latest":[79],"versions":[80],"models":[83],"used":[84],"study.":[88],"show":[90],"none":[92],"previously":[95],"evaluated":[96],"can":[98],"outperform":[99],"regression":[101],"adaptation":[102],"classifier,":[106],"rotation":[107,142,191],"forest.":[108],"introduce":[110],"two":[111],"new":[112],"developed":[115],"from":[116,153],"work":[118],"classification.":[122],"FreshPRINCE":[123],"pipeline":[126],"estimator":[127],"consisting":[128],"transform":[131],"into":[132],"wide":[134],"summary":[137,154],"features":[138,152],"followed":[139],"by":[140],"forest":[143,192],"regressor.":[144,193],"DrCIF":[145,181],"tree":[148],"ensemble":[149],"creates":[151],"statistics":[155],"over":[156],"random":[157],"intervals.":[158],"Our":[159],"study":[160],"demonstrates":[161],"both":[163],"algorithms,":[164],"along":[165],"InceptionTime,":[167],"exhibit":[168],"significantly":[169,187],"better":[170],"performance":[171],"compared":[172],"other":[175],"18":[176],"tested.":[178],"More":[179],"importantly,":[180],"only":[184],"one":[185],"outperforms":[188]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2024-05-20T00:00:00"}