{"id":"https://openalex.org/W2898510371","doi":"https://doi.org/10.1007/s10489-018-1341-9","title":"relf: robust regression extended with ensemble loss function","display_name":"relf: robust regression extended with ensemble loss function","publication_year":2018,"publication_date":"2018-11-12","ids":{"openalex":"https://openalex.org/W2898510371","doi":"https://doi.org/10.1007/s10489-018-1341-9","mag":"2898510371"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-018-1341-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-018-1341-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.11071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hamideh Hajiabadi","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamideh Hajiabadi","raw_affiliation_strings":["Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Reza Monsefi","orcid":"https://orcid.org/0000-0002-6434-5273"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Reza Monsefi","raw_affiliation_strings":["Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran"],"raw_orcid":"https://orcid.org/0000-0002-6434-5273","affiliations":[{"raw_affiliation_string":"Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hadi Sadoghi Yazdi","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Sadoghi Yazdi","raw_affiliation_strings":["Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.5533,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77080043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"49","issue":"4","first_page":"1437","last_page":"1450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.6758000254631042,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.6758000254631042,"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/T10057","display_name":"Face and Expression Recognition","score":0.10000000149011612,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0731000006198883,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7796000242233276},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5533999800682068},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5440000295639038},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.446399986743927},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44369998574256897},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.38850000500679016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3549000024795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820000052452087},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7796000242233276},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5533999800682068},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5440000295639038},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4848000109195709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47040000557899475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45489999651908875},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.446399986743927},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.38850000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C51865526","wikidata":"https://www.wikidata.org/wiki/Q5379962","display_name":"Ensemble average","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C97542219","wikidata":"https://www.wikidata.org/wiki/Q497863","display_name":"SIMPLE algorithm","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C39891107","wikidata":"https://www.wikidata.org/wiki/Q5767098","display_name":"Hinge loss","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-018-1341-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-018-1341-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1810.11071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11071","pdf_url":"https://arxiv.org/pdf/1810.11071","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,"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.11071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11071","pdf_url":"https://arxiv.org/pdf/1810.11071","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,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1524688041","https://openalex.org/W1580389772","https://openalex.org/W1701760339","https://openalex.org/W1711412747","https://openalex.org/W1903477328","https://openalex.org/W1949974402","https://openalex.org/W1982032418","https://openalex.org/W1983865151","https://openalex.org/W1996726072","https://openalex.org/W2016375676","https://openalex.org/W2017719067","https://openalex.org/W2023163512","https://openalex.org/W2024046085","https://openalex.org/W2041913211","https://openalex.org/W2046033161","https://openalex.org/W2050849575","https://openalex.org/W2061082730","https://openalex.org/W2064020819","https://openalex.org/W2080744942","https://openalex.org/W2103826408","https://openalex.org/W2135160607","https://openalex.org/W2145588591","https://openalex.org/W2145833756","https://openalex.org/W2145940431","https://openalex.org/W2149332235","https://openalex.org/W2151532749","https://openalex.org/W2242885980","https://openalex.org/W2248381231","https://openalex.org/W2258695288","https://openalex.org/W2299200698","https://openalex.org/W2338571850","https://openalex.org/W2469003029","https://openalex.org/W2500157231","https://openalex.org/W2532693795","https://openalex.org/W2556907180","https://openalex.org/W2560840665","https://openalex.org/W2598657415","https://openalex.org/W2775379093","https://openalex.org/W2790740913","https://openalex.org/W2793703895","https://openalex.org/W2795540310","https://openalex.org/W2883066177","https://openalex.org/W2911964244","https://openalex.org/W3024853581","https://openalex.org/W4301621763","https://openalex.org/W6600529467"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2018-11-02T00:00:00"}