{"id":"https://openalex.org/W58233310","doi":"https://doi.org/10.1007/978-3-642-32115-3_21","title":"On the Homogeneous Ensembling with Balanced Random Sets and Boosting","display_name":"On the Homogeneous Ensembling with Balanced Random Sets and Boosting","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W58233310","doi":"https://doi.org/10.1007/978-3-642-32115-3_21","mag":"58233310"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-32115-3_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-32115-3_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5106553807","display_name":"Vladimir Nikulin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103655","display_name":"Vyatka State University","ror":"https://ror.org/01anxqg21","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103655"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladimir Nikulin","raw_affiliation_strings":["Department of Mathematical Methods in Economy, Vyatka State University, Kirov, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Methods in Economy, Vyatka State University, Kirov, Russia","institution_ids":["https://openalex.org/I4210103655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5106553807"],"corresponding_institution_ids":["https://openalex.org/I4210103655"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3172,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53140191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9987000226974487,"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":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.8581724166870117},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7730541229248047},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7550252676010132},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.6757445335388184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6096490025520325},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5332918167114258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319046974182129},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47277167439460754},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4324713349342346},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4278672933578491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4153051972389221},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1309451460838318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581724166870117},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7730541229248047},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7550252676010132},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.6757445335388184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6096490025520325},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5332918167114258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319046974182129},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47277167439460754},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4324713349342346},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4278672933578491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4153051972389221},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1309451460838318},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-32115-3_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-32115-3_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W40442397","https://openalex.org/W1988790447","https://openalex.org/W2024233657","https://openalex.org/W2055701877","https://openalex.org/W2083025062","https://openalex.org/W2127952499","https://openalex.org/W2139122730","https://openalex.org/W2170407469"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W2946214509","https://openalex.org/W2606108738","https://openalex.org/W4286740636","https://openalex.org/W3009056573","https://openalex.org/W2628063975","https://openalex.org/W2356479129","https://openalex.org/W2393964553","https://openalex.org/W1487831638"],"abstract_inverted_index":null,"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
