{"id":"https://openalex.org/W2809316507","doi":"https://doi.org/10.1007/978-3-319-94295-7_23","title":"Over-Sampling Algorithm Based on VAE in Imbalanced Classification","display_name":"Over-Sampling Algorithm Based on VAE in Imbalanced Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2809316507","doi":"https://doi.org/10.1007/978-3-319-94295-7_23","mag":"2809316507"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-94295-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-94295-7_23","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/A5012559241","display_name":"Chunkai Zhang","orcid":"https://orcid.org/0000-0002-2207-0953"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunkai Zhang","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111572060","display_name":"Ying Zhou","orcid":"https://orcid.org/0000-0003-2396-6847"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhou","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062020254","display_name":"Yingyang Chen","orcid":"https://orcid.org/0000-0002-1343-9202"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyang Chen","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057797670","display_name":"Yepeng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yepeng Deng","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328995","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-3512-0649"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066507565","display_name":"Lifeng Dong","orcid":"https://orcid.org/0000-0002-5536-1319"},"institutions":[{"id":"https://openalex.org/I911846574","display_name":"Hamline University","ror":"https://ror.org/01bcdmq48","country_code":"US","type":"education","lineage":["https://openalex.org/I911846574"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifeng Dong","raw_affiliation_strings":["Hamline University, 1536 Hewitt Avenue, St. Paul, USA"],"affiliations":[{"raw_affiliation_string":"Hamline University, 1536 Hewitt Avenue, St. Paul, USA","institution_ids":["https://openalex.org/I911846574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101959507","display_name":"Haoyu Wei","orcid":"https://orcid.org/0009-0009-3923-9557"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Wei","raw_affiliation_strings":["Sichuan University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012559241"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.6313,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86865821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"334","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9857000112533569,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.9352295398712158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114992141723633},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6638255715370178},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5339556932449341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171898603439331},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4979064464569092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4945797622203827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46980127692222595},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45586302876472473},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4454937279224396},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4255698025226593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32689833641052246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.250773549079895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.05842947959899902}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9352295398712158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114992141723633},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6638255715370178},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5339556932449341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171898603439331},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4979064464569092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4945797622203827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46980127692222595},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45586302876472473},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4454937279224396},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4255698025226593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32689833641052246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.250773549079895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.05842947959899902},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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:10.1007/978-3-319-94295-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-94295-7_23","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":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W25583468","https://openalex.org/W1975129897","https://openalex.org/W2042558865","https://openalex.org/W2117190680","https://openalex.org/W2124780997","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2160955696","https://openalex.org/W2401681595","https://openalex.org/W2418459390","https://openalex.org/W2429914308","https://openalex.org/W2607721373","https://openalex.org/W2736514310","https://openalex.org/W2742613066","https://openalex.org/W2742813421","https://openalex.org/W2745294951","https://openalex.org/W2754637385","https://openalex.org/W2790780637","https://openalex.org/W2791191028"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W2152863486","https://openalex.org/W2375547256","https://openalex.org/W2042102171"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}