{"id":"https://openalex.org/W3096688134","doi":"https://doi.org/10.1007/978-3-030-58526-6_41","title":"Feature Space Augmentation for Long-Tailed Data","display_name":"Feature Space Augmentation for Long-Tailed Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3096688134","doi":"https://doi.org/10.1007/978-3-030-58526-6_41","mag":"3096688134"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58526-6_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58526-6_41","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/A5101994812","display_name":"Peng Chu","orcid":"https://orcid.org/0000-0002-1633-7295"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Chu","raw_affiliation_strings":["Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085010505","display_name":"Xiao Bian","orcid":"https://orcid.org/0000-0001-5447-6045"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Bian","raw_affiliation_strings":["Google Inc., Mountain View, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047774700","display_name":"Shaopeng Liu","orcid":"https://orcid.org/0000-0002-9624-846X"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaopeng Liu","raw_affiliation_strings":["GE Research, Niskayuna, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Research, Niskayuna, USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Stony Brook University, Stony Brook, USA","Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101994812"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":36.0311,"has_fulltext":false,"cited_by_count":235,"citation_normalized_percentile":{"value":0.99786213,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"694","last_page":"710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9908999800682068,"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":0.7412035465240479},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7399802803993225},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6319525837898254},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5970752239227295},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5855587720870972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5312979221343994},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4893900752067566},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4670352637767792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41881459951400757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3931119740009308},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34393391013145447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14848536252975464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412035465240479},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7399802803993225},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6319525837898254},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5970752239227295},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5855587720870972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5312979221343994},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4893900752067566},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4670352637767792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41881459951400757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3931119740009308},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34393391013145447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14848536252975464},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58526-6_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58526-6_41","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":55,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1495654352","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2044913453","https://openalex.org/W2104933073","https://openalex.org/W2107742354","https://openalex.org/W2117539524","https://openalex.org/W2119112357","https://openalex.org/W2119191234","https://openalex.org/W2136903812","https://openalex.org/W2148143831","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2296043783","https://openalex.org/W2339172597","https://openalex.org/W2404464147","https://openalex.org/W2440599146","https://openalex.org/W2469885745","https://openalex.org/W2609196176","https://openalex.org/W2753300133","https://openalex.org/W2767106145","https://openalex.org/W2767623047","https://openalex.org/W2781292787","https://openalex.org/W2794467005","https://openalex.org/W2797977484","https://openalex.org/W2798836702","https://openalex.org/W2867270703","https://openalex.org/W2895281799","https://openalex.org/W2904008038","https://openalex.org/W2905810301","https://openalex.org/W2913994632","https://openalex.org/W2946948417","https://openalex.org/W2961018736","https://openalex.org/W2962858109","https://openalex.org/W2962895364","https://openalex.org/W2962933664","https://openalex.org/W2963026686","https://openalex.org/W2963078860","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963691377","https://openalex.org/W2963845150","https://openalex.org/W2963960318","https://openalex.org/W2964050365","https://openalex.org/W2981188200","https://openalex.org/W2995197345","https://openalex.org/W3034601242","https://openalex.org/W3100093508","https://openalex.org/W3118608800","https://openalex.org/W6600208142"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W2350084742","https://openalex.org/W1598955744","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W4384111961"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":53},{"year":2023,"cited_by_count":65},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":23}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
