{"id":"https://openalex.org/W2582207931","doi":"https://doi.org/10.1007/s11063-017-9586-6","title":"Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method","display_name":"Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method","publication_year":2017,"publication_date":"2017-01-27","ids":{"openalex":"https://openalex.org/W2582207931","doi":"https://doi.org/10.1007/s11063-017-9586-6","mag":"2582207931"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-017-9586-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-017-9586-6","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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 Processing Letters","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/A5070598302","display_name":"Marco Vannucci","orcid":"https://orcid.org/0000-0002-6115-1588"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Vannucci","raw_affiliation_strings":["TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033400760","display_name":"Valentina Colla","orcid":"https://orcid.org/0000-0002-9574-0575"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Colla","raw_affiliation_strings":["TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024534618","display_name":"Silvia Cateni","orcid":"https://orcid.org/0000-0002-5103-3481"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Cateni","raw_affiliation_strings":["TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant\u2019Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"TeCIp Institute, Scuola Superiore Sant'Anna, Via Moruzzi, 1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070598302"],"corresponding_institution_ids":["https://openalex.org/I162290304"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.6224,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75683624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"46","issue":"3","first_page":"791","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9818999767303467,"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/T10320","display_name":"Neural Networks and Applications","score":0.9818999767303467,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7996253967285156},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.656464695930481},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6450956463813782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6292599439620972},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6155099868774414},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6091908812522888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592181384563446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5875463485717773},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5806407332420349},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5433796644210815},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5199862122535706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5139431357383728},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4924205541610718},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44203615188598633},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.41375795006752014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09644854068756104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09386956691741943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996253967285156},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.656464695930481},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6450956463813782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6292599439620972},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6155099868774414},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6091908812522888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592181384563446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5875463485717773},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5806407332420349},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5433796644210815},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5199862122535706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5139431357383728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4924205541610718},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44203615188598633},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.41375795006752014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09644854068756104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09386956691741943},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11063-017-9586-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-017-9586-6","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"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 Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:www.iris.sssup.it:11382/512025","is_oa":false,"landing_page_url":"http://hdl.handle.net/11382/512025","pdf_url":null,"source":{"id":"https://openalex.org/S4377196376","display_name":"CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162290304","host_organization_name":"Scuola Superiore Sant'Anna","host_organization_lineage":["https://openalex.org/I162290304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W32212417","https://openalex.org/W118170734","https://openalex.org/W1483001186","https://openalex.org/W1534477342","https://openalex.org/W1566229663","https://openalex.org/W1583837637","https://openalex.org/W1934727243","https://openalex.org/W1974708511","https://openalex.org/W1976181411","https://openalex.org/W2022407902","https://openalex.org/W2041970641","https://openalex.org/W2060140155","https://openalex.org/W2061119986","https://openalex.org/W2065262209","https://openalex.org/W2071715137","https://openalex.org/W2086182732","https://openalex.org/W2100460230","https://openalex.org/W2100512350","https://openalex.org/W2100805904","https://openalex.org/W2106754018","https://openalex.org/W2112076978","https://openalex.org/W2124193432","https://openalex.org/W2129542355","https://openalex.org/W2135293965","https://openalex.org/W2165784799","https://openalex.org/W2288101972","https://openalex.org/W2293794625","https://openalex.org/W2342171042","https://openalex.org/W2543138047","https://openalex.org/W2912934387","https://openalex.org/W4206812712"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W1807784185","https://openalex.org/W45170056","https://openalex.org/W3202800081","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828","https://openalex.org/W3036530763"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
