{"id":"https://openalex.org/W266533219","doi":"https://doi.org/10.1007/978-3-662-44848-9_21","title":"Cautious Ordinal Classification by Binary Decomposition","display_name":"Cautious Ordinal Classification by Binary Decomposition","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W266533219","doi":"https://doi.org/10.1007/978-3-662-44848-9_21","mag":"266533219"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-44848-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-44848-9_21","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":true,"oa_status":"green","oa_url":"https://hal.science/hal-01076724","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070285963","display_name":"S\u00e9bastien Destercke","orcid":"https://orcid.org/0000-0003-2026-468X"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"S\u00e9bastien Destercke","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Centre de recherches de Royallieu, F-60205, Compiegne Cedex, France","Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)","Labex MS2T - Laboratoire d'Excellence 'Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques' (Universit\u00e9 de Technologie de Compi\u00e8gne - Centre de Recherche de Royallieu - rue du Docteur Schweitzer- CS 60319 - 60203 COMPIEGNE Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Centre de recherches de Royallieu, F-60205, Compiegne Cedex, France","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)","institution_ids":["https://openalex.org/I4210088387","https://openalex.org/I102516824"]},{"raw_affiliation_string":"Labex MS2T - Laboratoire d'Excellence 'Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques' (Universit\u00e9 de Technologie de Compi\u00e8gne - Centre de Recherche de Royallieu - rue du Docteur Schweitzer- CS 60319 - 60203 COMPIEGNE Cedex - France)","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102916510","display_name":"Gen Yang","orcid":"https://orcid.org/0000-0002-0687-0168"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gen Yang","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Centre de recherches de Royallieu, F-60205, Compiegne Cedex, France","Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)","Labex MS2T - Laboratoire d'Excellence 'Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques' (Universit\u00e9 de Technologie de Compi\u00e8gne - Centre de Recherche de Royallieu - rue du Docteur Schweitzer- CS 60319 - 60203 COMPIEGNE Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Centre de recherches de Royallieu, F-60205, Compiegne Cedex, France","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Heudiasyc - Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne] (UTC, CS 60319 - 57 avenue de Landshut - 60203 Compi\u00e8gne cedex - France)","institution_ids":["https://openalex.org/I4210088387","https://openalex.org/I102516824"]},{"raw_affiliation_string":"Labex MS2T - Laboratoire d'Excellence 'Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques' (Universit\u00e9 de Technologie de Compi\u00e8gne - Centre de Recherche de Royallieu - rue du Docteur Schweitzer- CS 60319 - 60203 COMPIEGNE Cedex - France)","institution_ids":["https://openalex.org/I102516824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070285963"],"corresponding_institution_ids":["https://openalex.org/I102516824","https://openalex.org/I4210088387"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.4471,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82171221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9973000288009644,"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":0.9939000010490417,"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/ordinal-regression","display_name":"Ordinal regression","score":0.7752234935760498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126047611236572},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6244201064109802},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6145203113555908},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5537237524986267},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5490229725837708},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5226190686225891},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.502727746963501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49644356966018677},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4746977686882019},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4584573805332184},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4579422175884247},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.4397285580635071},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4231833219528198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4195246398448944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39817285537719727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3473280370235443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3051770031452179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25193607807159424},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12081927061080933}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.7752234935760498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126047611236572},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6244201064109802},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6145203113555908},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5537237524986267},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5490229725837708},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5226190686225891},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.502727746963501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49644356966018677},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4746977686882019},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4584573805332184},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4579422175884247},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.4397285580635071},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4231833219528198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4195246398448944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39817285537719727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3473280370235443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3051770031452179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25193607807159424},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12081927061080933},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-662-44848-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-44848-9_21","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:HAL:hal-01076724v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01076724","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Discovery in Databases - European Conference ECML/PKDD, Sep 2014, Nancy, France. pp.323 - 337, &#x27E8;10.1007/978-3-662-44848-9_21&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01076724v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01076724","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Discovery in Databases - European Conference ECML/PKDD, Sep 2014, Nancy, France. pp.323 - 337, &#x27E8;10.1007/978-3-662-44848-9_21&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W29351105","https://openalex.org/W119684912","https://openalex.org/W187408168","https://openalex.org/W1494902407","https://openalex.org/W1578066074","https://openalex.org/W1765545080","https://openalex.org/W1854866626","https://openalex.org/W1963986132","https://openalex.org/W1968293352","https://openalex.org/W1980896222","https://openalex.org/W1986610361","https://openalex.org/W1997855593","https://openalex.org/W2011996540","https://openalex.org/W2012097495","https://openalex.org/W2020064362","https://openalex.org/W2035720976","https://openalex.org/W2036376268","https://openalex.org/W2055731108","https://openalex.org/W2061760968","https://openalex.org/W2075143645","https://openalex.org/W2106689827","https://openalex.org/W2118377301","https://openalex.org/W2124105163","https://openalex.org/W2124232193","https://openalex.org/W2128186735","https://openalex.org/W2148771442","https://openalex.org/W2150373884","https://openalex.org/W2155144632","https://openalex.org/W2155459995","https://openalex.org/W2161619158","https://openalex.org/W2161813894","https://openalex.org/W2162168660","https://openalex.org/W2475990372","https://openalex.org/W2501750902","https://openalex.org/W2503474909","https://openalex.org/W2988119488","https://openalex.org/W3120740533","https://openalex.org/W4210427261"],"related_works":["https://openalex.org/W4399574212","https://openalex.org/W2798701209","https://openalex.org/W4300104397","https://openalex.org/W2912776266","https://openalex.org/W4399569456","https://openalex.org/W2503289023","https://openalex.org/W4236496007","https://openalex.org/W1539030525","https://openalex.org/W2313068166","https://openalex.org/W2519353281"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
