{"id":"https://openalex.org/W2284479184","doi":"https://doi.org/10.1007/978-3-642-38067-9_21","title":"Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling","display_name":"Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2284479184","doi":"https://doi.org/10.1007/978-3-642-38067-9_21","mag":"2284479184"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-38067-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-38067-9_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/A5029845097","display_name":"Moacir Antonelli Ponti","orcid":"https://orcid.org/0000-0003-2059-9463"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Moacir P. Ponti","raw_affiliation_strings":["Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo (ICMC/USP), 13560-970, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo (ICMC/USP), 13560-970, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077909193","display_name":"Isadora Rossi","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Isadora Rossi","raw_affiliation_strings":["Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo (ICMC/USP), 13560-970, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematical and Computer Sciences, University of S\u00e3o Paulo (ICMC/USP), 13560-970, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029845097"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.091,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8194747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9686999917030334,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.961899995803833,"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/undersampling","display_name":"Undersampling","score":0.975094199180603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8428708910942078},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5753622055053711},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5568004250526428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5567815899848938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.531288206577301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5265653133392334},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5255476236343384},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.48679253458976746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4425261616706848},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07031002640724182}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.975094199180603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428708910942078},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5753622055053711},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5568004250526428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5567815899848938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.531288206577301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5265653133392334},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5255476236343384},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.48679253458976746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4425261616706848},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07031002640724182},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-38067-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-38067-9_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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1558741833","https://openalex.org/W1581797854","https://openalex.org/W1588100052","https://openalex.org/W1725245969","https://openalex.org/W1981739091","https://openalex.org/W2009267037","https://openalex.org/W2047822984","https://openalex.org/W2104167780","https://openalex.org/W2112358949","https://openalex.org/W2113242816","https://openalex.org/W2125610378","https://openalex.org/W2141014294","https://openalex.org/W2150692003","https://openalex.org/W2161336914","https://openalex.org/W2165910495","https://openalex.org/W2167055186","https://openalex.org/W2167940608","https://openalex.org/W2179133965","https://openalex.org/W2912934387","https://openalex.org/W3120740533","https://openalex.org/W4248916828"],"related_works":["https://openalex.org/W4308469503","https://openalex.org/W32988189","https://openalex.org/W2904737874","https://openalex.org/W4389233021","https://openalex.org/W2399571531","https://openalex.org/W2947132063","https://openalex.org/W4288337828","https://openalex.org/W4287816717","https://openalex.org/W4390415670","https://openalex.org/W80466363"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}