{"id":"https://openalex.org/W2887872047","doi":"https://doi.org/10.1007/s00500-018-3429-x","title":"Evidential joint calibration of binary SVM classifiers","display_name":"Evidential joint calibration of binary SVM classifiers","publication_year":2018,"publication_date":"2018-07-31","ids":{"openalex":"https://openalex.org/W2887872047","doi":"https://doi.org/10.1007/s00500-018-3429-x","mag":"2887872047"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-018-3429-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-018-3429-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","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/A5045458813","display_name":"Pauline Minary","orcid":"https://orcid.org/0000-0002-5263-7324"},"institutions":[{"id":"https://openalex.org/I210368670","display_name":"Soci\u00e9t\u00e9 Nationale des Chemins de Fer Fran\u00e7ais (France)","ror":"https://ror.org/0454vek02","country_code":"FR","type":"company","lineage":["https://openalex.org/I210368670"]},{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pauline Minary","raw_affiliation_strings":["D\u00e9partement des T\u00e9l\u00e9communications, SNCF R\u00e9seau, La Plaine Saint Denis, France","EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement des T\u00e9l\u00e9communications, SNCF R\u00e9seau, La Plaine Saint Denis, France","institution_ids":["https://openalex.org/I210368670"]},{"raw_affiliation_string":"EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France","institution_ids":["https://openalex.org/I44563897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870496","display_name":"Fr\u00e9d\u00e9ric Pichon","orcid":"https://orcid.org/0000-0002-9905-5882"},"institutions":[{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Pichon","raw_affiliation_strings":["EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France"],"affiliations":[{"raw_affiliation_string":"EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France","institution_ids":["https://openalex.org/I44563897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079674884","display_name":"David Mercier","orcid":"https://orcid.org/0000-0002-7511-7874"},"institutions":[{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Mercier","raw_affiliation_strings":["EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France"],"affiliations":[{"raw_affiliation_string":"EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France","institution_ids":["https://openalex.org/I44563897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031955387","display_name":"\u00c9ric Lef\u00e8vre","orcid":"https://orcid.org/0000-0002-0038-8872"},"institutions":[{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Lefevre","raw_affiliation_strings":["EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France"],"affiliations":[{"raw_affiliation_string":"EA 3926, Laboratoire de G\u00e9nie Informatique et d\u2019Automatique de l\u2019Artois (LGI2A), Univ. Artois, Bethune, 62400, France","institution_ids":["https://openalex.org/I44563897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054953062","display_name":"Benjamin Droit","orcid":null},"institutions":[{"id":"https://openalex.org/I210368670","display_name":"Soci\u00e9t\u00e9 Nationale des Chemins de Fer Fran\u00e7ais (France)","ror":"https://ror.org/0454vek02","country_code":"FR","type":"company","lineage":["https://openalex.org/I210368670"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Droit","raw_affiliation_strings":["D\u00e9partement des T\u00e9l\u00e9communications, SNCF R\u00e9seau, La Plaine Saint Denis, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement des T\u00e9l\u00e9communications, SNCF R\u00e9seau, La Plaine Saint Denis, France","institution_ids":["https://openalex.org/I210368670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045458813"],"corresponding_institution_ids":["https://openalex.org/I210368670","https://openalex.org/I44563897"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.6399,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71916673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"13","first_page":"4655","last_page":"4671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9955000281333923,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9926000237464905,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7611187696456909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282620072364807},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.7242185473442078},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7213691473007202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936967372894287},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6688897609710693},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6509385108947754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6227483749389648},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.598044216632843},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5237769484519958},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.503783643245697},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48931190371513367},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.47602468729019165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4413847029209137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2001897394657135},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.08407893776893616},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06416255235671997}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7611187696456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282620072364807},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.7242185473442078},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7213691473007202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936967372894287},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6688897609710693},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6509385108947754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6227483749389648},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.598044216632843},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5237769484519958},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.503783643245697},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48931190371513367},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.47602468729019165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4413847029209137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2001897394657135},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.08407893776893616},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06416255235671997},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-018-3429-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-018-3429-x","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W209020652","https://openalex.org/W654110765","https://openalex.org/W1512507469","https://openalex.org/W1542601440","https://openalex.org/W1553458173","https://openalex.org/W1598033630","https://openalex.org/W1602443498","https://openalex.org/W1618905105","https://openalex.org/W1970620780","https://openalex.org/W1973948212","https://openalex.org/W2012942264","https://openalex.org/W2017215485","https://openalex.org/W2035573225","https://openalex.org/W2066843515","https://openalex.org/W2098352249","https://openalex.org/W2099601787","https://openalex.org/W2124868070","https://openalex.org/W2134797726","https://openalex.org/W2147522526","https://openalex.org/W2153635508","https://openalex.org/W2158869137","https://openalex.org/W2159160074","https://openalex.org/W2159235508","https://openalex.org/W2197420588","https://openalex.org/W2402412545","https://openalex.org/W2403746960","https://openalex.org/W2487087946","https://openalex.org/W2498119267","https://openalex.org/W2514626349","https://openalex.org/W2755063064","https://openalex.org/W2797148637","https://openalex.org/W2973651390","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W4248387443","https://openalex.org/W2888937984","https://openalex.org/W2516761773","https://openalex.org/W2407804800","https://openalex.org/W2125266525","https://openalex.org/W2100597930","https://openalex.org/W4291326746","https://openalex.org/W2952069805","https://openalex.org/W2149131139","https://openalex.org/W2273564766"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}