{"id":"https://openalex.org/W4386917690","doi":"https://doi.org/10.1007/s10994-023-06378-x","title":"Consensus\u2013relevance kNN and covariate shift mitigation","display_name":"Consensus\u2013relevance kNN and covariate shift mitigation","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4386917690","doi":"https://doi.org/10.1007/s10994-023-06378-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-023-06378-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06378-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06378-x.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":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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06378-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020847214","display_name":"Konstantinos Kalpakis","orcid":"https://orcid.org/0000-0002-4827-2828"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Konstantinos Kalpakis","raw_affiliation_strings":["Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA"],"raw_orcid":"https://orcid.org/0000-0002-4827-2828","affiliations":[{"raw_affiliation_string":"Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020847214"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.8455,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7737981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"113","issue":"1","first_page":"325","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983000159263611,"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":0.9983000159263611,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9965999722480774,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9962999820709229,"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/covariate","display_name":"Covariate","score":0.7256391048431396},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6676182746887207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6135954260826111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766639709472656},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5673844814300537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4631708264350891},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4626982808113098},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4267883896827698},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.41506069898605347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41447409987449646},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4102478623390198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3827471137046814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30630654096603394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2247104048728943}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7256391048431396},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6676182746887207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6135954260826111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766639709472656},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5673844814300537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4631708264350891},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4626982808113098},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4267883896827698},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.41506069898605347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41447409987449646},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4102478623390198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3827471137046814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30630654096603394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2247104048728943},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-023-06378-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06378-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06378-x.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-023-06378-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-023-06378-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-023-06378-x.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386917690.pdf","grobid_xml":"https://content.openalex.org/works/W4386917690.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W627634521","https://openalex.org/W804362531","https://openalex.org/W1540375479","https://openalex.org/W1552230342","https://openalex.org/W1564947197","https://openalex.org/W1631913055","https://openalex.org/W1692308832","https://openalex.org/W1853837125","https://openalex.org/W1964495738","https://openalex.org/W1965524806","https://openalex.org/W1989617207","https://openalex.org/W1998951954","https://openalex.org/W2008572210","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W2042989185","https://openalex.org/W2047081748","https://openalex.org/W2050947749","https://openalex.org/W2062291443","https://openalex.org/W2089349283","https://openalex.org/W2091632079","https://openalex.org/W2097671030","https://openalex.org/W2104933073","https://openalex.org/W2112483442","https://openalex.org/W2116596942","https://openalex.org/W2119739429","https://openalex.org/W2122111042","https://openalex.org/W2129905273","https://openalex.org/W2130695501","https://openalex.org/W2142827986","https://openalex.org/W2148143831","https://openalex.org/W2167277498","https://openalex.org/W2172237138","https://openalex.org/W2272298386","https://openalex.org/W2757523618","https://openalex.org/W2907380995","https://openalex.org/W3101477643","https://openalex.org/W4240981432","https://openalex.org/W4246141009","https://openalex.org/W4301265533","https://openalex.org/W4381059423","https://openalex.org/W4388297464","https://openalex.org/W6675354045","https://openalex.org/W6684642658"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W3181959032"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
