{"id":"https://openalex.org/W4401524347","doi":"https://doi.org/10.1007/s00521-024-10286-z","title":"Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets","display_name":"Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401524347","doi":"https://doi.org/10.1007/s00521-024-10286-z"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-024-10286-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-024-10286-z","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","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/A5044829081","display_name":"Lucas Teixeira","orcid":"https://orcid.org/0000-0003-3615-1567"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lucas O. Teixeira","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Estadual de Maring\u00e1 (UEM), Maring\u00e1, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3615-1567","affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Estadual de Maring\u00e1 (UEM), Maring\u00e1, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004057625","display_name":"Diego Bertolini","orcid":"https://orcid.org/0000-0002-6196-4538"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego Bertolini","raw_affiliation_strings":["Departamento Acad\u00eamico de Ci\u00eancia da Computa\u00e7\u00e3o, Universidade Tecnol\u00f3gica Federal do Paran\u00e1 (UTFPR), Campo Mour\u00e3o, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento Acad\u00eamico de Ci\u00eancia da Computa\u00e7\u00e3o, Universidade Tecnol\u00f3gica Federal do Paran\u00e1 (UTFPR), Campo Mour\u00e3o, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz S. Oliveira","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Federal do Paran\u00e1 (UFPR), Curitiba, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Federal do Paran\u00e1 (UFPR), Curitiba, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084140678","display_name":"George D. C. Cavalcanti","orcid":"https://orcid.org/0000-0001-7714-2283"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"George D. C. Cavalcanti","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco (UFPE), Recife, Pernambuco, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco (UFPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002078182","display_name":"Yandre M. G. Costa","orcid":"https://orcid.org/0000-0002-0630-3171"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yandre M. G. Costa","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Estadual de Maring\u00e1 (UEM), Maring\u00e1, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Estadual de Maring\u00e1 (UEM), Maring\u00e1, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044829081"],"corresponding_institution_ids":["https://openalex.org/I123443094"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.6491,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91116899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"32","first_page":"20439","last_page":"20456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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":0.9944999814033508,"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":0.6797841191291809},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6543796062469482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.634287416934967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5493757128715515},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5393284559249878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5296266674995422},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4866250455379486},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47847697138786316},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.435492604970932},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.43314558267593384},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4180056154727936},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4128398895263672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33841997385025024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797841191291809},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6543796062469482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.634287416934967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5493757128715515},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5393284559249878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5296266674995422},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4866250455379486},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47847697138786316},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.435492604970932},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.43314558267593384},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4180056154727936},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4128398895263672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33841997385025024},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-024-10286-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-024-10286-z","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3983926334","display_name":null,"funder_award_id":"88887.630259/2021-00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1546044829","https://openalex.org/W1966359730","https://openalex.org/W1987455112","https://openalex.org/W2016553979","https://openalex.org/W2028536777","https://openalex.org/W2124735751","https://openalex.org/W2138621090","https://openalex.org/W2141328950","https://openalex.org/W2148143831","https://openalex.org/W2163976365","https://openalex.org/W2322990795","https://openalex.org/W2338318698","https://openalex.org/W2342112428","https://openalex.org/W2460772544","https://openalex.org/W2559655401","https://openalex.org/W2604226652","https://openalex.org/W2606530519","https://openalex.org/W2810577347","https://openalex.org/W2884067191","https://openalex.org/W2891146928","https://openalex.org/W2936503027","https://openalex.org/W2966399126","https://openalex.org/W2998417010","https://openalex.org/W3032338640","https://openalex.org/W3036100825","https://openalex.org/W3045524274","https://openalex.org/W3095654393","https://openalex.org/W3106572427","https://openalex.org/W3114609984","https://openalex.org/W3130892409","https://openalex.org/W3184776482","https://openalex.org/W3196669497","https://openalex.org/W3198829986","https://openalex.org/W3198881524","https://openalex.org/W4210880854","https://openalex.org/W4212774754","https://openalex.org/W4288421332","https://openalex.org/W4288433418","https://openalex.org/W4297808394","https://openalex.org/W4306316965","https://openalex.org/W4309613842","https://openalex.org/W4312866014","https://openalex.org/W4383868355","https://openalex.org/W6888930897"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4401336593","https://openalex.org/W4380048833"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}