{"id":"https://openalex.org/W204874977","doi":"https://doi.org/10.1007/978-3-642-24965-5_41","title":"Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks","display_name":"Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W204874977","doi":"https://doi.org/10.1007/978-3-642-24965-5_41","mag":"204874977"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-24965-5_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-24965-5_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5079056700","display_name":"Simone Fiori","orcid":"https://orcid.org/0000-0001-5964-7464"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Fiori","raw_affiliation_strings":["Dipartimento di Ingegneria dell\u2019Informazione, Facolt\u00e0 di Ingegneria, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche, Ancona, I-60131, Italy","Dipartimento di Ingegneria dell'Informazione, Facolt\u00e0 di Ingegneria, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche, Ancona, I-60131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione, Facolt\u00e0 di Ingegneria, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche, Ancona, I-60131, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, Facolt\u00e0 di Ingegneria, Universit\u00e0 Politecnica delle Marche, Via Brecce Bianche, Ancona, I-60131, Italy","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079056700"],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.7892,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90207156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/T10320","display_name":"Neural Networks and Applications","score":0.9915000200271606,"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/isotonic-regression","display_name":"Isotonic regression","score":0.8531956076622009},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.7240322232246399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6981194615364075},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6268378496170044},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.6098849773406982},{"id":"https://openalex.org/keywords/bivariate-data","display_name":"Bivariate data","score":0.5741686224937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5242955088615417},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5038363337516785},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5021567344665527},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48021039366722107},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.47763553261756897},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44347119331359863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4381883144378662},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.4348006248474121},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.42410287261009216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40931764245033264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32945936918258667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22524484992027283},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.18416306376457214}],"concepts":[{"id":"https://openalex.org/C17418463","wikidata":"https://www.wikidata.org/wiki/Q3455874","display_name":"Isotonic regression","level":3,"score":0.8531956076622009},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7240322232246399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6981194615364075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6268378496170044},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.6098849773406982},{"id":"https://openalex.org/C148264743","wikidata":"https://www.wikidata.org/wiki/Q4919224","display_name":"Bivariate data","level":3,"score":0.5741686224937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242955088615417},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5038363337516785},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5021567344665527},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48021039366722107},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.47763553261756897},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44347119331359863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4381883144378662},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.4348006248474121},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.42410287261009216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40931764245033264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32945936918258667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22524484992027283},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.18416306376457214},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-24965-5_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-24965-5_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:iris.univpm.it:11566/75350","is_oa":false,"landing_page_url":"http://hdl.handle.net/11566/75350","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"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":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1866403196","https://openalex.org/W1997396904","https://openalex.org/W1997750495","https://openalex.org/W2006776897","https://openalex.org/W2011857639","https://openalex.org/W2023969963","https://openalex.org/W2032578483","https://openalex.org/W2044758663","https://openalex.org/W2110026944","https://openalex.org/W2115176304","https://openalex.org/W2130836428","https://openalex.org/W2158168589","https://openalex.org/W2174160981","https://openalex.org/W2326945647"],"related_works":["https://openalex.org/W4232399475","https://openalex.org/W2474319518","https://openalex.org/W2513280345","https://openalex.org/W89977309","https://openalex.org/W1575790908","https://openalex.org/W3122841410","https://openalex.org/W2901858382","https://openalex.org/W2150332776","https://openalex.org/W2060480178","https://openalex.org/W4307508674"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}