{"id":"https://openalex.org/W2019037755","doi":"https://doi.org/10.1007/s10115-010-0358-0","title":"Multi-resolution boosting for classification and regression problems","display_name":"Multi-resolution boosting for classification and regression problems","publication_year":2010,"publication_date":"2010-11-15","ids":{"openalex":"https://openalex.org/W2019037755","doi":"https://doi.org/10.1007/s10115-010-0358-0","mag":"2019037755"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-010-0358-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-010-0358-0","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","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/A5001022750","display_name":"Chandan K. Reddy","orcid":"https://orcid.org/0000-0003-2839-3662"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chandan K. Reddy","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA","Wayne State University, Department of Computer Science, 48202, Detroit, MI, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Wayne State University, Department of Computer Science, 48202, Detroit, MI, USA#TAB#","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079116106","display_name":"JinHyeong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin-Hyeong Park","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, 08540, USA","Siemens Corporate Research, Integrated Data Systems Department, 08540, Princeton, NJ, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, 08540, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, Integrated Data Systems Department, 08540, Princeton, NJ, USA#TAB#","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001022750"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":4.5109,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94226611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"435","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9961000084877014,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9923999905586243,"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/boosting","display_name":"Boosting (machine learning)","score":0.9282961487770081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589702367782593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6506183743476868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5794146060943604},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5512649416923523},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44993332028388977},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.4149315059185028},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3715329170227051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2295970916748047},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.13157975673675537}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9282961487770081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589702367782593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6506183743476868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794146060943604},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5512649416923523},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44993332028388977},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.4149315059185028},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3715329170227051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2295970916748047},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.13157975673675537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-010-0358-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-010-0358-0","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1492449628","https://openalex.org/W1508335110","https://openalex.org/W1546961578","https://openalex.org/W1554663460","https://openalex.org/W1570448133","https://openalex.org/W1600900673","https://openalex.org/W1604973233","https://openalex.org/W1678356000","https://openalex.org/W1968747946","https://openalex.org/W1968969471","https://openalex.org/W1975846642","https://openalex.org/W2007221898","https://openalex.org/W2022692239","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2036470311","https://openalex.org/W2040424159","https://openalex.org/W2067885219","https://openalex.org/W2079484126","https://openalex.org/W2081471536","https://openalex.org/W2088883866","https://openalex.org/W2100559472","https://openalex.org/W2105454140","https://openalex.org/W2108949035","https://openalex.org/W2112328181","https://openalex.org/W2119309681","https://openalex.org/W2129270900","https://openalex.org/W2129857763","https://openalex.org/W2132984323","https://openalex.org/W2135538475","https://openalex.org/W2152761983","https://openalex.org/W2158184062","https://openalex.org/W2739091281","https://openalex.org/W2912934387","https://openalex.org/W3097096317","https://openalex.org/W4244952642","https://openalex.org/W4285719527","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W3094138326","https://openalex.org/W4310224730"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
