{"id":"https://openalex.org/W3216822933","doi":"https://doi.org/10.1007/s10994-022-06200-0","title":"Naive automated machine learning","display_name":"Naive automated machine learning","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W3216822933","doi":"https://doi.org/10.1007/s10994-022-06200-0","mag":"3216822933"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06200-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","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/s10994-022-06200-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032411139","display_name":"Felix Mohr","orcid":"https://orcid.org/0000-0002-9293-2424"},"institutions":[{"id":"https://openalex.org/I157650460","display_name":"Universidad de La Sabana","ror":"https://ror.org/02sqgkj21","country_code":"CO","type":"education","lineage":["https://openalex.org/I157650460"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Felix Mohr","raw_affiliation_strings":["Universidad de La Sabana, Chia, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-9293-2424","affiliations":[{"raw_affiliation_string":"Universidad de La Sabana, Chia, Colombia","institution_ids":["https://openalex.org/I157650460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044057928","display_name":"Marcel Wever","orcid":"https://orcid.org/0000-0001-9782-6818"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Wever","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032411139"],"corresponding_institution_ids":["https://openalex.org/I157650460"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.3582,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89826009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"112","issue":"4","first_page":"1131","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901000261306763,"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/machine-learning","display_name":"Machine learning","score":0.6923531889915466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644371509552002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622603178024292},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5880870223045349},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5233637094497681},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5124826431274414},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44025328755378723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20942655205726624},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11514803767204285},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11395987868309021}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6923531889915466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644371509552002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622603178024292},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5880870223045349},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5233637094497681},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5124826431274414},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44025328755378723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20942655205726624},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11514803767204285},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11395987868309021},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-022-06200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06200-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:epub.ub.uni-muenchen.de:107520","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-107520-7","pdf_url":"https://epub.ub.uni-muenchen.de/107520/1/s10994-022-06200-0.pdf","source":{"id":"https://openalex.org/S4306401845","display_name":"Open access LMU (Ludwid Maxmilian's Universitat Munchen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8204097","host_organization_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","host_organization_lineage":["https://openalex.org/I8204097"],"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":"Machine Learning","raw_type":"doc-type:article"}],"best_oa_location":{"id":"doi:10.1007/s10994-022-06200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06200-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G8026673714","display_name":null,"funder_award_id":"SFB 901","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8610971552","display_name":null,"funder_award_id":"SFB901","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320326542","display_name":"Universidad de La Sabana","ror":"https://ror.org/02sqgkj21"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3216822933.pdf","grobid_xml":"https://content.openalex.org/works/W3216822933.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W60686164","https://openalex.org/W1524761913","https://openalex.org/W1575029535","https://openalex.org/W1586956674","https://openalex.org/W2087025987","https://openalex.org/W2095655959","https://openalex.org/W2101234009","https://openalex.org/W2102539288","https://openalex.org/W2106614481","https://openalex.org/W2126105956","https://openalex.org/W2132862423","https://openalex.org/W2133990480","https://openalex.org/W2164278908","https://openalex.org/W2182361439","https://openalex.org/W2556522401","https://openalex.org/W2604766410","https://openalex.org/W2608595939","https://openalex.org/W2616602896","https://openalex.org/W2769743674","https://openalex.org/W2785667727","https://openalex.org/W2793670633","https://openalex.org/W2809880372","https://openalex.org/W2911964244","https://openalex.org/W2912436245","https://openalex.org/W2921605821","https://openalex.org/W2941933311","https://openalex.org/W2947123069","https://openalex.org/W2950220059","https://openalex.org/W2953817258","https://openalex.org/W2963815651","https://openalex.org/W2963855998","https://openalex.org/W2964763154","https://openalex.org/W2966927517","https://openalex.org/W2998732476","https://openalex.org/W3011307848","https://openalex.org/W3100203766","https://openalex.org/W3119210614","https://openalex.org/W3122753382","https://openalex.org/W3127812658","https://openalex.org/W3161633503","https://openalex.org/W3191833688","https://openalex.org/W3216822933","https://openalex.org/W4211208325","https://openalex.org/W4212883601","https://openalex.org/W4283794871","https://openalex.org/W4288083546","https://openalex.org/W4292363360","https://openalex.org/W6675354045","https://openalex.org/W6675864080","https://openalex.org/W6765220052"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2544423928","https://openalex.org/W3037187668"],"abstract_inverted_index":{"Abstract":[0],"An":[1],"essential":[2],"task":[3],"of":[4,19,60,73,104,108,124],"automated":[5],"machine":[6],"learning":[7],"(":[8],"$$\\text":[9,40,84],"{AutoML}$$":[10],"<mml:math":[11,42,87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[12,43,88],"<mml:mtext>AutoML</mml:mtext>":[13],"</mml:math>":[14,45,93],")":[15],"is":[16,116],"the":[17,22,25,61,67,71,105,121],"problem":[18,34],"automatically":[20],"finding":[21],"pipeline":[23,75,111,115],"with":[24,38],"best":[26,122],"generalization":[27],"performance":[28,146],"on":[29],"a":[30,74,109],"given":[31],"dataset.":[32],"This":[33],"has":[35],"been":[36],"addressed":[37],"sophisticated":[39],"{black-box}$$":[41],"<mml:mtext>black-box</mml:mtext>":[44],"optimization":[46,103,129],"techniques":[47],"such":[48,100],"as":[49],"Bayesian":[50],"optimization,":[51],"grammar-based":[52],"genetic":[53],"algorithms,":[54],"and":[55,142],"tree":[56],"search":[57,134],"algorithms.":[58],"Most":[59],"current":[62,148],"approaches":[63],"are":[64],"motivated":[65],"by":[66,118],"assumption":[68],"that":[69,97],"optimizing":[70],"components":[72,107],"in":[76],"isolation":[77],"may":[78],"yield":[79],"sub-optimal":[80],"results.":[81],"We":[82],"present":[83],"{Naive":[85],"AutoML}$$":[86],"<mml:mrow>":[89],"<mml:mtext>Naive":[90],"AutoML</mml:mtext>":[91],"</mml:mrow>":[92],",":[94],"an":[95,101],"approach":[96,139],"precisely":[98],"realizes":[99],"in-isolation":[102],"different":[106],"pre-defined":[110],"scheme.":[112],"The":[113,127],"returned":[114],"obtained":[117],"just":[119],"taking":[120],"algorithm":[123],"each":[125],"slot.":[126],"isolated":[128],"leads":[130],"to":[131],"substantially":[132],"reduced":[133],"spaces,":[135],"and,":[136],"surprisingly,":[137],"this":[138],"yields":[140],"comparable":[141],"sometimes":[143],"even":[144],"better":[145],"than":[147],"state-of-the-art":[149],"optimizers.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
