{"id":"https://openalex.org/W1520076654","doi":"https://doi.org/10.1007/3-540-45372-5_12","title":"Bagging and Boosting with Dynamic Integration of Classifiers","display_name":"Bagging and Boosting with Dynamic Integration of Classifiers","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1520076654","doi":"https://doi.org/10.1007/3-540-45372-5_12","mag":"1520076654"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45372-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/3-540-45372-5_12","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F3-540-45372-5_12.pdf","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F3-540-45372-5_12.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109047597","display_name":"Alexey Tsymbal","orcid":null},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alexey Tsymbal","raw_affiliation_strings":["Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, P.O.Box 35, FIN-40351, Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, P.O.Box 35, FIN-40351, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058563569","display_name":"Seppo Puuronen","orcid":null},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Seppo Puuronen","raw_affiliation_strings":["Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, P.O.Box 35, FIN-40351, Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, P.O.Box 35, FIN-40351, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94722563"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.4049,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.79377583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9959999918937683,"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":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.9214527606964111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7703365683555603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7543504238128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.742030143737793},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.726402997970581},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6476384997367859},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5580143928527832},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.5480046272277832},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5364094376564026},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5184807181358337},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.2643381655216217},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.1815042495727539}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9214527606964111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7703365683555603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543504238128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.742030143737793},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.726402997970581},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6476384997367859},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5580143928527832},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.5480046272277832},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5364094376564026},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5184807181358337},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2643381655216217},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.1815042495727539},{"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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-45372-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/3-540-45372-5_12","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F3-540-45372-5_12.pdf","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.28.6274","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.6274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dnkweb.denken.or.jp/boosting/papers/upload_30017_tsymbal1.ps.gz","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/3-540-45372-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/3-540-45372-5_12","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F3-540-45372-5_12.pdf","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323168","display_name":"Jyv\u00e4skyl\u00e4n Yliopisto","ror":"https://ror.org/05n3dz165"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1520076654.pdf","grobid_xml":"https://content.openalex.org/works/W1520076654.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W603809537","https://openalex.org/W1504694836","https://openalex.org/W1507034068","https://openalex.org/W1528664985","https://openalex.org/W1540371141","https://openalex.org/W1578460509","https://openalex.org/W1597393723","https://openalex.org/W1695851728","https://openalex.org/W1826017886","https://openalex.org/W1903331548","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2003048487","https://openalex.org/W2006581006","https://openalex.org/W2024046085","https://openalex.org/W2060780857","https://openalex.org/W2067885219","https://openalex.org/W2081869978","https://openalex.org/W2084812512","https://openalex.org/W2093717447","https://openalex.org/W2108949035","https://openalex.org/W2125055259","https://openalex.org/W2152761983","https://openalex.org/W2912934387","https://openalex.org/W2982720039"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W1981866886","https://openalex.org/W4233259193","https://openalex.org/W2052615004","https://openalex.org/W4385447970","https://openalex.org/W2600353413","https://openalex.org/W4298012357","https://openalex.org/W2915435096","https://openalex.org/W2145836532","https://openalex.org/W2104246955"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
