{"id":"https://openalex.org/W3030807697","doi":"https://doi.org/10.1007/s00521-020-04994-5","title":"On robust randomized neural networks for regression: a comprehensive review and evaluation","display_name":"On robust randomized neural networks for regression: a comprehensive review and evaluation","publication_year":2020,"publication_date":"2020-05-30","ids":{"openalex":"https://openalex.org/W3030807697","doi":"https://doi.org/10.1007/s00521-020-04994-5","mag":"3030807697"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-04994-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-04994-5","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":"review","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/A5043068057","display_name":"Ananda L. Freire","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ananda L. Freire","raw_affiliation_strings":["Department of Computer Science, Federal Institute of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal Institute of Cear\u00e1, Fortaleza, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110688397","display_name":"Ajalmar R. Rocha-Neto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajalmar R. Rocha-Neto","raw_affiliation_strings":["Department of Computer Science, Federal Institute of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal Institute of Cear\u00e1, Fortaleza, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061650545","display_name":"Guilherme A. Barreto","orcid":"https://orcid.org/0000-0002-7002-1216"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme A. Barreto","raw_affiliation_strings":["Department of Teleinformatics Engineering, Federal University of Cear\u00e1 (UFC), Fortaleza, Cear\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7002-1216","affiliations":[{"raw_affiliation_string":"Department of Teleinformatics Engineering, Federal University of Cear\u00e1 (UFC), Fortaleza, Cear\u00e1, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.5645,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86715333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"32","issue":"22","first_page":"16931","last_page":"16950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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":0.9987999796867371,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9950000047683716,"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/outlier","display_name":"Outlier","score":0.7728267908096313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224990725517273},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6041384935379028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5667003393173218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453698635101318},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.534756064414978},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5112571716308594},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.49279168248176575},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.476098895072937},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42619308829307556},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.41363051533699036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401411175727844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2038678526878357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1979607343673706}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7728267908096313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224990725517273},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6041384935379028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5667003393173218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453698635101318},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.534756064414978},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5112571716308594},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.49279168248176575},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.476098895072937},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42619308829307556},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.41363051533699036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401411175727844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2038678526878357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1979607343673706},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-020-04994-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-04994-5","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/G1384616147","display_name":null,"funder_award_id":"311211/2017-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G2198340165","display_name":null,"funder_award_id":"309379/2019-9","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"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"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W66801010","https://openalex.org/W1482683088","https://openalex.org/W1521989125","https://openalex.org/W1543454375","https://openalex.org/W1565746575","https://openalex.org/W1567207637","https://openalex.org/W1666694983","https://openalex.org/W1973433968","https://openalex.org/W1980262437","https://openalex.org/W1981673657","https://openalex.org/W1986096622","https://openalex.org/W1986278072","https://openalex.org/W1989724844","https://openalex.org/W1995328009","https://openalex.org/W1996640396","https://openalex.org/W1997917263","https://openalex.org/W2001263627","https://openalex.org/W2007146523","https://openalex.org/W2012638612","https://openalex.org/W2032143034","https://openalex.org/W2040870580","https://openalex.org/W2041328702","https://openalex.org/W2046033161","https://openalex.org/W2050297026","https://openalex.org/W2051265083","https://openalex.org/W2061942188","https://openalex.org/W2065060269","https://openalex.org/W2070369244","https://openalex.org/W2074477564","https://openalex.org/W2077742325","https://openalex.org/W2098290011","https://openalex.org/W2099579348","https://openalex.org/W2104242071","https://openalex.org/W2106427050","https://openalex.org/W2111072639","https://openalex.org/W2119883478","https://openalex.org/W2120475512","https://openalex.org/W2121971770","https://openalex.org/W2125835628","https://openalex.org/W2127150635","https://openalex.org/W2130378394","https://openalex.org/W2138383519","https://openalex.org/W2154852616","https://openalex.org/W2155910151","https://openalex.org/W2164278908","https://openalex.org/W2167460663","https://openalex.org/W2206862709","https://openalex.org/W2286961399","https://openalex.org/W2296071029","https://openalex.org/W2336590198","https://openalex.org/W2590685804","https://openalex.org/W2593400895","https://openalex.org/W2611060050","https://openalex.org/W2741761309","https://openalex.org/W2757169940","https://openalex.org/W2762341992","https://openalex.org/W2964141730","https://openalex.org/W3103797389","https://openalex.org/W3120740533","https://openalex.org/W4205210034","https://openalex.org/W4243563432","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2127063836","https://openalex.org/W3121734683","https://openalex.org/W2006385744","https://openalex.org/W2085680114","https://openalex.org/W4210813465"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
