{"id":"https://openalex.org/W2555077524","doi":"https://doi.org/10.1007/s10618-016-0483-9","title":"The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances","display_name":"The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances","publication_year":2016,"publication_date":"2016-11-23","ids":{"openalex":"https://openalex.org/W2555077524","doi":"https://doi.org/10.1007/s10618-016-0483-9","mag":"2555077524","pmid":"https://pubmed.ncbi.nlm.nih.gov/30930678"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-016-0483-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-016-0483-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10618-016-0483-9.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","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10618-016-0483-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anthony Bagnall","raw_affiliation_strings":["1School of Computing Sciences, University of East Anglia, Norwich, UK","School of Computing Sciences, University of East Anglia, Norwich, UK"],"raw_orcid":"https://orcid.org/0000-0003-2360-8994","affiliations":[{"raw_affiliation_string":"1School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]},{"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/A5027003376","display_name":"Jason Lines","orcid":"https://orcid.org/0000-0002-1496-5941"},"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"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jason Lines","raw_affiliation_strings":["1School of Computing Sciences, University of East Anglia, Norwich, UK","School of Computing Sciences, University of East Anglia, Norwich, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]},{"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/A5052459001","display_name":"Aaron Bostrom","orcid":"https://orcid.org/0000-0002-7300-6038"},"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"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aaron Bostrom","raw_affiliation_strings":["1School of Computing Sciences, University of East Anglia, Norwich, UK","School of Computing Sciences, University of East Anglia, Norwich, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]},{"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/A5081063163","display_name":"James Large","orcid":"https://orcid.org/0000-0002-2357-3798"},"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"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Large","raw_affiliation_strings":["1School of Computing Sciences, University of East Anglia, Norwich, UK","School of Computing Sciences, University of East Anglia, Norwich, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]},{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Norwich, UK","institution_ids":["https://openalex.org/I1118541"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078245746","display_name":"Eamonn Keogh","orcid":"https://orcid.org/0000-0002-4188-3968"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eamonn Keogh","raw_affiliation_strings":["2Computer Science & Engineering Department, University of California, Riverside, Riverside, CA USA","Computer Science & Engineering Department, University of California, Riverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Computer Science & Engineering Department, University of California, Riverside, Riverside, CA USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Computer Science & Engineering Department, University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052586692"],"corresponding_institution_ids":["https://openalex.org/I1118541"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":60.3894,"has_fulltext":true,"cited_by_count":1376,"citation_normalized_percentile":{"value":0.99979051,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"31","issue":"3","first_page":"606","last_page":"660"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9588000178337097,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9444000124931335,"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/computer-science","display_name":"Computer science","score":0.7821320295333862},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.657071590423584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5997097492218018},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5805292129516602},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5145332217216492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4901881814002991},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4812562167644501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45443999767303467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4241287410259247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7821320295333862},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.657071590423584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5997097492218018},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5805292129516602},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5145332217216492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4901881814002991},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4812562167644501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45443999767303467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4241287410259247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s10618-016-0483-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-016-0483-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10618-016-0483-9.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":"pmid:30930678","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30930678","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data mining and knowledge discovery","raw_type":null},{"id":"pmh:oai:ueaeprints.uea.ac.uk:61045","is_oa":true,"landing_page_url":null,"pdf_url":"https://ueaeprints.uea.ac.uk/id/eprint/61045/4/GreatTimeSeriesClassificationBakeOff.pdf","source":{"id":"https://openalex.org/S4306400384","display_name":"UEA Digital Repository (University of East Anglia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1118541","host_organization_name":"University of East Anglia","host_organization_lineage":["https://openalex.org/I1118541"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt8b2731wh","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/8b2731wh","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data mining and knowledge discovery, vol 31, iss 3","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5415496","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6404674","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6404674","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6404674","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Min Knowl Discov","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10618-016-0483-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-016-0483-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10618-016-0483-9.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":[],"awards":[{"id":"https://openalex.org/G3087056252","display_name":null,"funder_award_id":"EP/M015807/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3955946778","display_name":null,"funder_award_id":"1500209","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5892473700","display_name":null,"funder_award_id":"EP/M015087/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6739827899","display_name":"The Collective of Transform Ensembles (COTE) for Time Series Classification","funder_award_id":"EP/M015807/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320274","display_name":"University of East Anglia","ror":"https://ror.org/026k5mg93"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2555077524.pdf","grobid_xml":"https://content.openalex.org/works/W2555077524.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W67158865","https://openalex.org/W789250018","https://openalex.org/W848133049","https://openalex.org/W1565746575","https://openalex.org/W1597504361","https://openalex.org/W1693343509","https://openalex.org/W1731081199","https://openalex.org/W1853995153","https://openalex.org/W1900747440","https://openalex.org/W1968354112","https://openalex.org/W1970861901","https://openalex.org/W1975257359","https://openalex.org/W1978371851","https://openalex.org/W1984674851","https://openalex.org/W1993332189","https://openalex.org/W1997336782","https://openalex.org/W2008348094","https://openalex.org/W2009082127","https://openalex.org/W2011208599","https://openalex.org/W2012609801","https://openalex.org/W2016571104","https://openalex.org/W2024300411","https://openalex.org/W2026909728","https://openalex.org/W2029767187","https://openalex.org/W2030191558","https://openalex.org/W2030863907","https://openalex.org/W2035104901","https://openalex.org/W2037478113","https://openalex.org/W2050493487","https://openalex.org/W2068194158","https://openalex.org/W2076249942","https://openalex.org/W2086226917","https://openalex.org/W2094373571","https://openalex.org/W2098759488","https://openalex.org/W2110704543","https://openalex.org/W2118529802","https://openalex.org/W2120179669","https://openalex.org/W2132875213","https://openalex.org/W2133990480","https://openalex.org/W2141536962","https://openalex.org/W2143325592","https://openalex.org/W2156301828","https://openalex.org/W2162744351","https://openalex.org/W2164274563","https://openalex.org/W2166547175","https://openalex.org/W2169284845","https://openalex.org/W2402972623","https://openalex.org/W3098846496","https://openalex.org/W4240007298"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2378211422","https://openalex.org/W2352041579","https://openalex.org/W4321353415","https://openalex.org/W1488006380","https://openalex.org/W2745001401","https://openalex.org/W1998176685","https://openalex.org/W3008199583"],"abstract_inverted_index":{"In":[0],"the":[1,19,29,34,63,105,152,166,173,198,210,236,246],"last":[2],"5":[3],"years":[4],"there":[5],"have":[6,23,57,72,84,122],"been":[7,24,47,58,85],"a":[8,89,108,116,129],"large":[9],"number":[10,118],"of":[11,28,36,55,65,69,104,119,151,184,200,209,213,223,242],"new":[12,243],"time":[13,39],"series":[14,40],"classification":[15,41],"algorithms":[16,22,76,114,127,167,186,244],"proposed":[17,126],"in":[18,33,128,245],"literature.":[20],"These":[21],"evaluated":[25],"on":[26,115,149],"subsets":[27],"47":[30],"data":[31,51,97],"sets":[32],"University":[35,64],"California,":[37],"Riverside":[38],"archive.":[42],"The":[43,102],"archive":[44,106],"has":[45],"recently":[46,125],"expanded":[48],"to":[49,111,159,164],"85":[50,153],"sets,":[52],"over":[53],"half":[54],"which":[56],"donated":[59],"by":[60,144],"researchers":[61],"at":[62],"East":[66],"Anglia.":[67],"Aspects":[68],"previous":[70],"evaluations":[71],"made":[73],"comparisons":[74],"between":[75],"difficult.":[77],"For":[78],"example,":[79],"several":[80,161],"different":[81],"programming":[82],"languages":[83],"used,":[86],"experiments":[87,148,215,234],"involved":[88],"single":[90],"train/test":[91],"split":[92],"and":[93,133,175,194,216,227,230],"some":[94],"used":[95],"normalised":[96],"whilst":[98],"others":[99],"did":[100],"not.":[101],"relaunch":[103],"provides":[107],"timely":[109],"opportunity":[110],"thoroughly":[112],"evaluate":[113],"larger":[117],"datasets.":[120,154],"We":[121,155],"implemented":[123],"18":[124],"common":[130],"Java":[131],"framework":[132],"compared":[134],"them":[135],"against":[136],"two":[137],"standard":[138],"benchmark":[139],"classifiers":[140],"(and":[141],"each":[142,150,176],"other)":[143],"performing":[145],"100":[146],"resampling":[147],"use":[156],"these":[157,185,233],"results":[158,179,217,226],"test":[160],"hypotheses":[162],"relating":[163],"whether":[165],"are":[168,187,218],"significantly":[169,188,204],"more":[170,189,205,239],"accurate":[171,190,206],"than":[172,191,207],"benchmarks":[174,193],"other.":[177],"Our":[178],"indicate":[180],"that":[181,195],"only":[182],"nine":[183],"both":[192],"one":[196],"classifier,":[197],"collective":[199],"transformation":[201],"ensembles,":[202],"is":[203],"all":[208,222],"others.":[211],"All":[212],"our":[214,224],"reproducible:":[219],"we":[220,231],"release":[221],"code,":[225],"experimental":[228],"details":[229],"hope":[232],"form":[235],"basis":[237],"for":[238],"robust":[240],"testing":[241],"future.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":55},{"year":2025,"cited_by_count":131},{"year":2024,"cited_by_count":166},{"year":2023,"cited_by_count":195},{"year":2022,"cited_by_count":194},{"year":2021,"cited_by_count":202},{"year":2020,"cited_by_count":208},{"year":2019,"cited_by_count":134},{"year":2018,"cited_by_count":68},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}