{"id":"https://openalex.org/W4387529723","doi":"https://doi.org/10.3390/rs15204912","title":"Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data","display_name":"Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4387529723","doi":"https://doi.org/10.3390/rs15204912"},"language":"en","primary_location":{"id":"doi:10.3390/rs15204912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204912","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4912/pdf?version=1697009579","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/20/4912/pdf?version=1697009579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045992049","display_name":"Georgia Papacharalampous","orcid":"https://orcid.org/0000-0001-5446-954X"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgia Papacharalampous","raw_affiliation_strings":["Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003329348","display_name":"Hristos Tyralis","orcid":"https://orcid.org/0000-0002-8932-4997"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Hristos Tyralis","raw_affiliation_strings":["Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033117805","display_name":"Nikolaos Doulamis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Doulamis","raw_affiliation_strings":["Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102914203","display_name":"Anastasios Doulamis","orcid":"https://orcid.org/0000-0002-0612-5889"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Doulamis","raw_affiliation_strings":["Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, 157 80 Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045992049"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.3156,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8761984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"20","first_page":"4912","last_page":"4912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5782367587089539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5538003444671631},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5510925054550171},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5021069049835205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46856075525283813},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.46522092819213867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45719778537750244},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.45535802841186523},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45476773381233215},{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.45140206813812256},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.45076215267181396},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4437268376350403},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4158777892589569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.320105642080307},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23408743739128113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1523282825946808},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14116910099983215},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12671560049057007}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5782367587089539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5538003444671631},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5510925054550171},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5021069049835205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46856075525283813},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.46522092819213867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45719778537750244},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.45535802841186523},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45476773381233215},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.45140206813812256},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.45076215267181396},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4437268376350403},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4158777892589569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.320105642080307},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23408743739128113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1523282825946808},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14116910099983215},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12671560049057007},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15204912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204912","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4912/pdf?version=1697009579","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ebafb1eacd914249bdd3018eb01fbee7","is_oa":true,"landing_page_url":"https://doaj.org/article/ebafb1eacd914249bdd3018eb01fbee7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 20, p 4912 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15204912","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15204912","pdf_url":"https://www.mdpi.com/2072-4292/15/20/4912/pdf?version=1697009579","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8299999833106995,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G7427436483","display_name":null,"funder_award_id":"Project Number: 7368","funder_id":"https://openalex.org/F4320327859","funder_display_name":"Hellenic Foundation for Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387529723.pdf"},"referenced_works_count":108,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1513618424","https://openalex.org/W1526025733","https://openalex.org/W1549716303","https://openalex.org/W1678356000","https://openalex.org/W1858356562","https://openalex.org/W1986528915","https://openalex.org/W1995441218","https://openalex.org/W2002869784","https://openalex.org/W2047445560","https://openalex.org/W2075965721","https://openalex.org/W2078580016","https://openalex.org/W2088794999","https://openalex.org/W2094653192","https://openalex.org/W2102201073","https://openalex.org/W2117812871","https://openalex.org/W2135046866","https://openalex.org/W2136276425","https://openalex.org/W2137918734","https://openalex.org/W2138937646","https://openalex.org/W2157395790","https://openalex.org/W2166785563","https://openalex.org/W2232647241","https://openalex.org/W2286991778","https://openalex.org/W2295598076","https://openalex.org/W2487770199","https://openalex.org/W2498116182","https://openalex.org/W2509512661","https://openalex.org/W2581984534","https://openalex.org/W2605947465","https://openalex.org/W2689045665","https://openalex.org/W2767834217","https://openalex.org/W2773928770","https://openalex.org/W2787894218","https://openalex.org/W2789758093","https://openalex.org/W2797373921","https://openalex.org/W2797707900","https://openalex.org/W2804233742","https://openalex.org/W2883227601","https://openalex.org/W2889124066","https://openalex.org/W2889200694","https://openalex.org/W2895438781","https://openalex.org/W2897176956","https://openalex.org/W2898796705","https://openalex.org/W2909973217","https://openalex.org/W2911001330","https://openalex.org/W2911546748","https://openalex.org/W2911964244","https://openalex.org/W2914985734","https://openalex.org/W2922826800","https://openalex.org/W2923153689","https://openalex.org/W2943160824","https://openalex.org/W2945526235","https://openalex.org/W2968617506","https://openalex.org/W2972609102","https://openalex.org/W2979476516","https://openalex.org/W2990427812","https://openalex.org/W2996758938","https://openalex.org/W3036238619","https://openalex.org/W3039898056","https://openalex.org/W3039918514","https://openalex.org/W3089207120","https://openalex.org/W3091958352","https://openalex.org/W3092501210","https://openalex.org/W3102027041","https://openalex.org/W3112814715","https://openalex.org/W3116286104","https://openalex.org/W3119095696","https://openalex.org/W3123965474","https://openalex.org/W3138886979","https://openalex.org/W3155346408","https://openalex.org/W3158239322","https://openalex.org/W3160519721","https://openalex.org/W3174752098","https://openalex.org/W3190174726","https://openalex.org/W3190664588","https://openalex.org/W3194381984","https://openalex.org/W3200436801","https://openalex.org/W3203259078","https://openalex.org/W3208227771","https://openalex.org/W3209599534","https://openalex.org/W4200543410","https://openalex.org/W4205535841","https://openalex.org/W4214646202","https://openalex.org/W4220821170","https://openalex.org/W4224305744","https://openalex.org/W4235051201","https://openalex.org/W4239510810","https://openalex.org/W4242053123","https://openalex.org/W4254901254","https://openalex.org/W4281699704","https://openalex.org/W4285300221","https://openalex.org/W4289203925","https://openalex.org/W4292334794","https://openalex.org/W4293875093","https://openalex.org/W4296260834","https://openalex.org/W4301400955","https://openalex.org/W4306409842","https://openalex.org/W4312026766","https://openalex.org/W4320497416","https://openalex.org/W4321490645","https://openalex.org/W4382751519","https://openalex.org/W4384916764","https://openalex.org/W4399569501","https://openalex.org/W4399583783","https://openalex.org/W6608782863","https://openalex.org/W6675321329","https://openalex.org/W6801649235"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4296079469","https://openalex.org/W3208169454"],"abstract_inverted_index":{"Regression":[0],"algorithms":[1,45,178,276],"are":[2,21,29,75,260],"regularly":[3],"used":[4,278],"for":[5,63,132],"improving":[6,64],"the":[7,22,30,65,79,99,108,115,144,157,171,182,223,226,249,268,274,292,299,305],"accuracy":[8,66],"of":[9,44,60,67,173,212,235,248],"satellite":[10,16,68],"precipitation":[11,17,27,69,154],"products.":[12],"In":[13,81],"this":[14,82,89],"context,":[15],"and":[18,25,71,101,127,142,204,210,232,273],"topography":[19],"data":[20,28,113,155],"predictor":[23],"variables,":[24],"gauged-measured":[26],"dependent":[31],"variables.":[32],"Alongside":[33],"this,":[34],"it":[35],"is":[36,214],"increasingly":[37],"recognised":[38],"in":[39,88,98],"many":[40],"fields":[41],"that":[42,136,285],"combinations":[43],"through":[46],"ensemble":[47,61,96,109,168],"learning":[48,176],"can":[49],"lead":[50],"to":[51,111,252],"substantial":[52],"predictive":[53],"performance":[54],"improvements.":[55],"Still,":[56],"a":[57,139,217,236,243],"sufficient":[58],"number":[59],"learners":[62,97,110,169,231,251],"products":[70],"their":[72,254],"large-scale":[73],"comparison":[74],"currently":[76],"missing":[77],"from":[78,114,119,156],"literature.":[80],"study,":[83],"we":[84],"work":[85],"towards":[86],"filling":[87],"specific":[90],"gap":[91],"by":[92,102,262],"proposing":[93],"11":[94],"new":[95],"field":[100],"extensively":[103],"comparing":[104],"them.":[105],"We":[106,150],"apply":[107],"monthly":[112,162],"PERSIANN":[116],"(Precipitation":[117],"Estimation":[118],"Remotely":[120],"Sensed":[121],"Information":[122],"using":[123,298],"Artificial":[124],"Neural":[125],"Networks)":[126],"IMERG":[128],"(Integrated":[129],"Multi-satellitE":[130],"Retrievals":[131],"GPM)":[133],"gridded":[134],"datasets":[135],"span":[137],"over":[138,143],"15-year":[140],"period":[141],"entire":[145],"contiguous":[146],"United":[147],"States":[148],"(CONUS).":[149],"also":[151,277,303],"use":[152],"gauge-measured":[153],"Global":[158],"Historical":[159],"Climatology":[160],"Network":[161],"database,":[163],"version":[164],"2":[165],"(GHCNm).":[166],"The":[167,220,240,282],"combine":[170,253],"predictions":[172],"six":[174,275],"machine":[175],"regression":[177,185,244,265,270],"(base":[179],"learners),":[180],"namely":[181],"multivariate":[183,188],"adaptive":[184,189],"splines":[186,191],"(MARS),":[187],"polynomial":[190],"(poly-MARS),":[192],"random":[193],"forests":[194],"(RF),":[195],"gradient":[196,201],"boosting":[197,202],"machines":[198],"(GBM),":[199],"extreme":[200],"(XGBoost)":[203],"Bayesian":[205],"regularized":[206],"neural":[207],"networks":[208],"(BRNN),":[209],"each":[211],"them":[213],"based":[215],"on":[216,246],"different":[218,264],"combiner.":[219],"combiners":[221],"include":[222],"equal-weight":[224],"combiner,":[225,228],"median":[227],"two":[229],"best":[230],"seven":[233,258,263],"variants":[234,259],"sophisticated":[237,286],"stacking":[238,287],"method.":[239],"latter":[241],"stacks":[242],"algorithm":[245,272],"top":[247],"base":[250,280,293],"independent":[255],"predictions.":[256],"Its":[257],"defined":[261],"algorithms,":[266],"specifically":[267],"linear":[269],"(LR)":[271],"as":[279],"learners.":[281],"results":[283],"suggest":[284],"performs":[288],"significantly":[289],"better":[290],"than":[291],"learners,":[294],"especially":[295],"when":[296],"applied":[297],"LR":[300],"algorithm.":[301],"It":[302],"beats":[304],"simpler":[306],"combination":[307],"methods.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
