{"id":"https://openalex.org/W2155863500","doi":"https://doi.org/10.1109/ssd.2013.6564017","title":"A performance comparison of the bayesian graphical model and the Possibilistic graphical model applied in a brain MRI cases retrieval contribution","display_name":"A performance comparison of the bayesian graphical model and the Possibilistic graphical model applied in a brain MRI cases retrieval contribution","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2155863500","doi":"https://doi.org/10.1109/ssd.2013.6564017","mag":"2155863500"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2013.6564017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2013.6564017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080792290","display_name":"Hedi Yazid","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hedi Yazid","raw_affiliation_strings":["SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059272943","display_name":"Karim Kalti","orcid":"https://orcid.org/0000-0002-6371-9851"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Karim Kalti","raw_affiliation_strings":["SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112807698","display_name":"Najoua Essoukri BenAmara","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Najoua Essoukri Benamara","raw_affiliation_strings":["SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAGE Research Group, National Engineering School of Sousse, Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9995999932289124,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9995999932289124,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9908999800682068,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/graphical-model","display_name":"Graphical model","score":0.776219367980957},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.703945517539978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697292149066925},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6170345544815063},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5989876985549927},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5752748847007751},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5510660409927368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5413962602615356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48924922943115234},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.4868411421775818},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4783627390861511}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.776219367980957},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.703945517539978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697292149066925},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6170345544815063},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5989876985549927},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5752748847007751},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5510660409927368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5413962602615356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48924922943115234},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4868411421775818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4783627390861511},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2013.6564017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2013.6564017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1494413412","https://openalex.org/W1983690667","https://openalex.org/W1990897446","https://openalex.org/W2004193157","https://openalex.org/W2009477013","https://openalex.org/W2010963363","https://openalex.org/W2015512514","https://openalex.org/W2102619888","https://openalex.org/W2115274330","https://openalex.org/W2130939059","https://openalex.org/W2137050234","https://openalex.org/W2146845595","https://openalex.org/W2155099190","https://openalex.org/W2157379883","https://openalex.org/W3147266715","https://openalex.org/W6680765748","https://openalex.org/W6683333181"],"related_works":["https://openalex.org/W3183113072","https://openalex.org/W2126934800","https://openalex.org/W2187019487","https://openalex.org/W1715419791","https://openalex.org/W643788828","https://openalex.org/W2158940596","https://openalex.org/W4200510307","https://openalex.org/W3125134981","https://openalex.org/W1554198325","https://openalex.org/W1505105018"],"abstract_inverted_index":{"This":[0,67],"paper":[1],"proposes":[2],"a":[3,17,72],"comparison":[4],"between":[5],"the":[6,10,14,41,44,55,60,64,76,84,106],"Bayesian":[7],"networks":[8,12],"and":[9],"Possibilistic":[11],"facing":[13],"treatment":[15,42],"of":[16,43,63,75,108],"similarity":[18,23],"measurement":[19],"problem.":[20],"The":[21],"proposed":[22],"measure":[24],"is":[25,52,69,81,91],"incorporated":[26],"in":[27,40,59],"brain":[28],"tumors":[29],"MRI":[30],"cases":[31,96],"retrieval":[32],"contribution.":[33],"Both":[34],"methods":[35],"represent":[36],"an":[37],"interesting":[38],"way":[39],"computer":[45],"aided":[46],"decision":[47,61],"problems.":[48],"Our":[49,89],"main":[50],"idea":[51],"argued":[53],"by":[54,83],"uncertain":[56],"aspect":[57,68],"embodied":[58],"making":[62],"diagnosis":[65],"process.":[66],"translated":[70],"into":[71],"graphical":[73],"modelling":[74],"treated":[77],"study":[78],"framework":[79],"that":[80],"concretized":[82],"two":[85],"models":[86,110],"mentioned":[87],"above.":[88],"work":[90],"tested":[92],"on":[93],"several":[94],"medical":[95],"collected":[97],"from":[98],"Sahloul":[99],"Hospital.":[100],"Experiments":[101],"are":[102],"oriented":[103],"to":[104],"analyse":[105],"performance":[107],"both":[109],"while":[111],"testing":[112],"experimentations":[113],"with":[114],"missing":[115],"data.":[116]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}