{"id":"https://openalex.org/W4416432139","doi":"https://doi.org/10.1007/s10994-025-06933-8","title":"Beyond Limits: Enhancing the Extrapolation Performance of Regression Models by Leaving the Boundary Out","display_name":"Beyond Limits: Enhancing the Extrapolation Performance of Regression Models by Leaving the Boundary Out","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416432139","doi":"https://doi.org/10.1007/s10994-025-06933-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-025-06933-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10994-025-06933-8","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070557153","display_name":"F. Garcia","orcid":"https://orcid.org/0000-0001-5908-7241"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Francisco Ambrosio Garcia","raw_affiliation_strings":["Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Heverlee, Belgium","Flanders Make@KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Flanders Make@KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074260053","display_name":"Frank Naets","orcid":"https://orcid.org/0000-0002-5228-7395"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Frank Naets","raw_affiliation_strings":["Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Heverlee, Belgium","Flanders Make@KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001, Heverlee, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Flanders Make@KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070557153"],"corresponding_institution_ids":["https://openalex.org/I4210116480","https://openalex.org/I99464096"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27523615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"114","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.2849000096321106,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.2849000096321106,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.15109999477863312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.11309999972581863,"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/extrapolation","display_name":"Extrapolation","score":0.975600004196167},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.645799994468689},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6406000256538391},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6312000155448914},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4853000044822693},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4171999990940094}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.975600004196167},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.645799994468689},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6406000256538391},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6312000155448914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5023999810218811},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43720000982284546},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36559998989105225},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33649998903274536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2802000045776367},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26019999384880066}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-025-06933-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10994-025-06933-8","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/775559","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/775559","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Machine Learning, vol. 114 (12), Art.No. 285","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6394983873","display_name":null,"funder_award_id":"958410","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320319799","display_name":"Flanders Make","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1974387297","https://openalex.org/W1993137812","https://openalex.org/W2088239637","https://openalex.org/W2112796928","https://openalex.org/W2132166479","https://openalex.org/W2145992718","https://openalex.org/W2514173981","https://openalex.org/W2560136348","https://openalex.org/W2793997912","https://openalex.org/W2885048850","https://openalex.org/W2907578745","https://openalex.org/W2949676527","https://openalex.org/W2970591347","https://openalex.org/W3028073062","https://openalex.org/W3152999724","https://openalex.org/W3163993681","https://openalex.org/W4280638619","https://openalex.org/W4281655338","https://openalex.org/W4294237596","https://openalex.org/W4315709409","https://openalex.org/W4386038361","https://openalex.org/W4386051231","https://openalex.org/W4386469278","https://openalex.org/W4388115927","https://openalex.org/W4394952324","https://openalex.org/W4400252320","https://openalex.org/W4400945910","https://openalex.org/W4406170795","https://openalex.org/W4407957390","https://openalex.org/W4414183195","https://openalex.org/W6888914244"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-20T00:00:00"}