{"id":"https://openalex.org/W3023289764","doi":"https://doi.org/10.1109/tvcg.2020.3030352","title":"StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics","display_name":"StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3023289764","doi":"https://doi.org/10.1109/tvcg.2020.3030352","mag":"3023289764","pmid":"https://pubmed.ncbi.nlm.nih.gov/33048687"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.3030352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030352","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.01575","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070488104","display_name":"Angelos Chatzimparmpas","orcid":"https://orcid.org/0000-0002-9079-2376"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Angelos Chatzimparmpas","raw_affiliation_strings":["Linnaeus University, V\u00e4xj\u00f6, Sweden","[Linnaeus University, V\u00e4xj\u00f6, Sweden]"],"affiliations":[{"raw_affiliation_string":"Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"[Linnaeus University, V\u00e4xj\u00f6, Sweden]","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055188702","display_name":"Rafael M. Martins","orcid":"https://orcid.org/0000-0002-2901-935X"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rafael M. Martins","raw_affiliation_strings":["Linnaeus University, V\u00e4xj\u00f6, Sweden","[Linnaeus University, V\u00e4xj\u00f6, Sweden]"],"affiliations":[{"raw_affiliation_string":"Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"[Linnaeus University, V\u00e4xj\u00f6, Sweden]","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026383442","display_name":"Kostiantyn Kucher","orcid":"https://orcid.org/0000-0002-1907-7820"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Kostiantyn Kucher","raw_affiliation_strings":["Linnaeus University, V\u00e4xj\u00f6, Sweden","[Linnaeus University, V\u00e4xj\u00f6, Sweden]"],"affiliations":[{"raw_affiliation_string":"Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"[Linnaeus University, V\u00e4xj\u00f6, Sweden]","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006966951","display_name":"Andreas Kerren","orcid":"https://orcid.org/0000-0002-0519-2537"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Kerren","raw_affiliation_strings":["Linnaeus University, V\u00e4xj\u00f6, Sweden","[Linnaeus University, V\u00e4xj\u00f6, Sweden]"],"affiliations":[{"raw_affiliation_string":"Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"[Linnaeus University, V\u00e4xj\u00f6, Sweden]","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070488104"],"corresponding_institution_ids":["https://openalex.org/I223464139"],"apc_list":null,"apc_paid":null,"fwci":4.9068,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.96248712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"27","issue":"2","first_page":"1547","last_page":"1557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9925000071525574,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9879000186920166,"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/stacking","display_name":"Stacking","score":0.7176356911659241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6700187921524048},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6540592312812805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46679526567459106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4392387270927429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4204636514186859},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.055905550718307495}],"concepts":[{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.7176356911659241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700187921524048},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6540592312812805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46679526567459106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4392387270927429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4204636514186859},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.055905550718307495},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2020.3030352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030352","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:33048687","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33048687","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":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2005.01575","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.01575","pdf_url":"https://arxiv.org/pdf/2005.01575","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.01575","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.01575","pdf_url":"https://arxiv.org/pdf/2005.01575","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W46659105","https://openalex.org/W1592353143","https://openalex.org/W1878565453","https://openalex.org/W1912151884","https://openalex.org/W1924369998","https://openalex.org/W1959365993","https://openalex.org/W1965998961","https://openalex.org/W1966716734","https://openalex.org/W1969482724","https://openalex.org/W1974584593","https://openalex.org/W1976526581","https://openalex.org/W1989505216","https://openalex.org/W2049670925","https://openalex.org/W2059342086","https://openalex.org/W2073800769","https://openalex.org/W2078749507","https://openalex.org/W2090687959","https://openalex.org/W2116825089","https://openalex.org/W2125035899","https://openalex.org/W2127058057","https://openalex.org/W2135577168","https://openalex.org/W2141014056","https://openalex.org/W2145073242","https://openalex.org/W2152825437","https://openalex.org/W2158778465","https://openalex.org/W2170505850","https://openalex.org/W2187089797","https://openalex.org/W2295598076","https://openalex.org/W2554140915","https://openalex.org/W2622407287","https://openalex.org/W2648230472","https://openalex.org/W2741657101","https://openalex.org/W2748022024","https://openalex.org/W2751722336","https://openalex.org/W2763367528","https://openalex.org/W2768348081","https://openalex.org/W2784118834","https://openalex.org/W2786672974","https://openalex.org/W2789758093","https://openalex.org/W2792416149","https://openalex.org/W2796347334","https://openalex.org/W2798571964","https://openalex.org/W2886614482","https://openalex.org/W2888611489","https://openalex.org/W2888728157","https://openalex.org/W2889491178","https://openalex.org/W2891130433","https://openalex.org/W2894167989","https://openalex.org/W2894294331","https://openalex.org/W2896180549","https://openalex.org/W2896897713","https://openalex.org/W2905064480","https://openalex.org/W2911964244","https://openalex.org/W2913615284","https://openalex.org/W2922365273","https://openalex.org/W2941160403","https://openalex.org/W2949973186","https://openalex.org/W2954788759","https://openalex.org/W2971236179","https://openalex.org/W2973221207","https://openalex.org/W2999309192","https://openalex.org/W3005806855","https://openalex.org/W3011179515","https://openalex.org/W3013160799","https://openalex.org/W3034069517","https://openalex.org/W3102476541","https://openalex.org/W3106372104","https://openalex.org/W3120740533","https://openalex.org/W6642279086","https://openalex.org/W6678829561","https://openalex.org/W6681651645","https://openalex.org/W6745609711","https://openalex.org/W6748816842"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"In":[0,124,186],"machine":[1],"learning":[2,136],"(ML),":[3],"ensemble":[4,26,135],"methods-such":[5],"as":[6],"bagging,":[7],"boosting,":[8],"and":[9,39,94,107,142,178,181,198,210,215,230],"stacking-are":[10],"widely-established":[11],"approaches":[12],"that":[13,28,96,117],"regularly":[14],"achieve":[15],"top-notch":[16],"predictive":[17,61,184],"performance.":[18,185],"Stacking":[19],"(also":[20],"called":[21],"\"stacked":[22],"generalization\")":[23],"is":[24],"an":[25],"method":[27],"combines":[29],"heterogeneous":[30],"base":[31],"models,":[32],"arranged":[33],"in":[34,155,239],"at":[35],"least":[36],"one":[37],"layer,":[38],"then":[40],"employs":[41],"another":[42],"metamodel":[43],"to":[44,104,121,193,199,236],"summarize":[45],"the":[46,60,82,138,164,183,201,204,242],"predictions":[47],"of":[48,63,68,85,91,109,140,176,203,217,233],"those":[49],"models.":[50,212],"Although":[51],"it":[52],"may":[53],"be":[54,73,98],"a":[55,66,74,129,143,169,174,225,231],"highly-effective":[56],"approach":[57],"for":[58,100,147,168],"increasing":[59],"performance":[62,158],"ML,":[64],"generating":[65],"stack":[67,206],"models":[69,197],"from":[70,81],"scratch":[71],"can":[72],"cumbersome":[75],"trial-and-error":[76],"process.":[77],"This":[78],"challenge":[79],"stems":[80],"enormous":[83],"space":[84],"available":[86],"solutions,":[87],"with":[88,137,221,249],"different":[89],"sets":[90],"data":[92,161,171,228,234],"instances":[93],"features":[95,167],"could":[97],"used":[99],"training,":[101],"several":[102],"algorithms":[103,111],"choose":[105],"from,":[106],"instantiations":[108],"these":[110],"using":[112],"diverse":[113,179],"parameters":[114],"(i.e.,":[115],"models)":[116],"perform":[118],"differently":[119],"according":[120],"various":[122],"metrics.":[123],"this":[125],"work,":[126],"we":[127],"present":[128],"knowledge":[130],"generation":[131],"model,":[132],"which":[133],"supports":[134],"use":[139,223],"visualization,":[141],"visual":[144],"analytics":[145],"system":[146],"stacked":[148],"generalization.":[149],"Our":[150],"system,":[151],"StackGenVis,":[152],"assists":[153],"users":[154,192],"dynamically":[156],"adapting":[157],"metrics,":[159],"managing":[160],"instances,":[162],"selecting":[163],"most":[165],"important":[166],"given":[170],"set,":[172],"choosing":[173],"set":[175,229],"top-performant":[177],"algorithms,":[180],"measuring":[182],"consequence,":[187],"our":[188],"proposed":[189],"tool":[190,243],"helps":[191],"decide":[194],"between":[195],"distinct":[196],"reduce":[200],"complexity":[202],"resulting":[205],"by":[207],"removing":[208],"overpromising":[209],"underperforming":[211],"The":[213],"applicability":[214],"effectiveness":[216],"StackGenVis":[218],"are":[219],"demonstrated":[220],"two":[222],"cases:":[224],"real-world":[226],"healthcare":[227],"collection":[232],"related":[235],"sentiment/stance":[237],"detection":[238],"texts.":[240],"Finally,":[241],"has":[244],"been":[245],"evaluated":[246],"through":[247],"interviews":[248],"three":[250],"ML":[251],"experts.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}