{"id":"https://openalex.org/W2989732777","doi":null,"title":"Detection and Mitigation of Rare Subclasses in Neural Network Classifiers","display_name":"Detection and Mitigation of Rare Subclasses in Neural Network Classifiers","publication_year":2019,"publication_date":"2019-11-28","ids":{"openalex":"https://openalex.org/W2989732777","mag":"2989732777"},"language":"en","primary_location":{"id":"mag:2989732777","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.12780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.12780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065495068","display_name":"Colin Paterson","orcid":"https://orcid.org/0000-0002-6678-3752","observed_orcids":["https://orcid.org/0000-0002-6678-3752"]},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Colin Paterson","raw_affiliation_strings":["University of York"],"raw_orcid":"https://orcid.org/0000-0002-6678-3752","affiliations":[{"raw_affiliation_string":"University of York","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011374280","display_name":"Radu C\u0103linescu","orcid":"https://orcid.org/0000-0002-2678-9260","observed_orcids":["https://orcid.org/0000-0002-2678-9260"]},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Radu C\u0103linescu","raw_affiliation_strings":["University of York"],"raw_orcid":"https://orcid.org/0000-0002-2678-9260","affiliations":[{"raw_affiliation_string":"University of York","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.7103999853134155,"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":0.7103999853134155,"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":0.15209999680519104,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.04699999839067459,"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/neural-network-classifier","display_name":"neural network classifier","score":0.7160000205039978},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.5529999732971191},{"id":"https://openalex.org/keywords/bias-detection","display_name":"bias detection","score":0.5770000219345093},{"id":"https://openalex.org/keywords/bias-mitigation","display_name":"bias mitigation","score":0.9629999995231628},{"id":"https://openalex.org/keywords/model-training","display_name":"model training","score":0.5289999842643738},{"id":"https://openalex.org/keywords/decision-making-systems","display_name":"decision-making systems","score":0.6359999775886536}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7230628132820129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6834811568260193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460998058319092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6329962611198425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6210815906524658},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5137818455696106},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4790671765804291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.469261109828949},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45175233483314514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.344119668006897},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11883914470672607},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2989732777","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.12780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2989732777","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.12780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"score":0.4074000120162964,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2014352947","https://openalex.org/W2053724458","https://openalex.org/W2100960835","https://openalex.org/W2104167780","https://openalex.org/W2114663889","https://openalex.org/W2116984840","https://openalex.org/W2122646361","https://openalex.org/W2123098109","https://openalex.org/W2147813562","https://openalex.org/W2149308034","https://openalex.org/W2319794630","https://openalex.org/W2521200999","https://openalex.org/W2560321925","https://openalex.org/W2658306063","https://openalex.org/W2756187730","https://openalex.org/W2767106145","https://openalex.org/W2883240860","https://openalex.org/W2904981516","https://openalex.org/W2910068345","https://openalex.org/W2912070601","https://openalex.org/W2951004968","https://openalex.org/W2952053192","https://openalex.org/W2963174898","https://openalex.org/W2963668975","https://openalex.org/W2964116855","https://openalex.org/W2974817986","https://openalex.org/W3035494980","https://openalex.org/W3165722314"],"related_works":["https://openalex.org/W3205982948","https://openalex.org/W2955174118","https://openalex.org/W4284964680","https://openalex.org/W4416017538","https://openalex.org/W2964005362","https://openalex.org/W2147876569","https://openalex.org/W280457108","https://openalex.org/W1553690050","https://openalex.org/W2802904253","https://openalex.org/W2029623908"],"abstract_inverted_index":{"Regions":[0],"of":[1,58,80],"high-dimensional":[2],"input":[3],"spaces":[4],"that":[5,76],"are":[6,44],"underrepresented":[7],"in":[8,27,62],"training":[9,93],"datasets":[10],"reduce":[11],"machine-learnt":[12],"classifier":[13],"performance,":[14],"and":[15,21,41,56,83,94],"may":[16],"lead":[17],"to":[18,35,47],"corner":[19],"cases":[20],"unwanted":[22],"bias":[23],"for":[24,53,86],"classifiers":[25],"used":[26],"decision":[28],"making":[29],"systems.":[30],"When":[31],"these":[32],"regions":[33],"belong":[34],"otherwise":[36],"well-represented":[37],"classes,":[38],"their":[39,88],"presence":[40],"negative":[42],"impact":[43,89],"very":[45],"hard":[46],"identify.":[48],"We":[49],"propose":[50],"an":[51,72],"approach":[52,68],"the":[54,78],"detection":[55,79],"mitigation":[57],"such":[59],"rare":[60,81],"subclasses":[61],"neural":[63],"network":[64],"classifiers.":[65],"The":[66],"new":[67],"is":[69],"underpinned":[70],"by":[71],"easy-to-compute":[73],"commonality":[74],"metric":[75],"supports":[77],"subclasses,":[82],"comprises":[84],"methods":[85],"reducing":[87],"during":[90],"both":[91],"model":[92,95],"exploitation.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-12-05T00:00:00"}