{"id":"https://openalex.org/W2981507930","doi":"https://doi.org/10.3390/s19214664","title":"Augmenting Deep Learning Performance in an Evidential Multiple Classifier System","display_name":"Augmenting Deep Learning Performance in an Evidential Multiple Classifier System","publication_year":2019,"publication_date":"2019-10-27","ids":{"openalex":"https://openalex.org/W2981507930","doi":"https://doi.org/10.3390/s19214664","mag":"2981507930","pmid":"https://pubmed.ncbi.nlm.nih.gov/31717870"},"language":"en","primary_location":{"id":"doi:10.3390/s19214664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214664","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s19214664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046687127","display_name":"Jennifer Vandoni","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210130984","display_name":"Safran Electronics (Canada)","ror":"https://ror.org/03vmatd47","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210130984"]},{"id":"https://openalex.org/I4210136613","display_name":"Laboratoire des syst\u00e8mes et applications des technologies de l'information et de l'\u00e9nergie","ror":"https://ror.org/03vam5b06","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210134562","https://openalex.org/I4210136613","https://openalex.org/I4210142324","https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4210165303","display_name":"Safran (France)","ror":"https://ror.org/05sqf9v67","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210165303"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Jennifer Vandoni","raw_affiliation_strings":["SAFRAN SA, Safran Tech, Pole Technologie du Signal et de l\u2019Information, 78772 Magny-les-Hameaux, France","SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France","SAFRAN SA, Safran Tech, Pole Technologie du Signal et de l'Information, 78772 Magny-les-Hameaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAFRAN SA, Safran Tech, Pole Technologie du Signal et de l\u2019Information, 78772 Magny-les-Hameaux, France","institution_ids":["https://openalex.org/I4210130984","https://openalex.org/I4210165303"]},{"raw_affiliation_string":"SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210136613"]},{"raw_affiliation_string":"SAFRAN SA, Safran Tech, Pole Technologie du Signal et de l'Information, 78772 Magny-les-Hameaux, France","institution_ids":["https://openalex.org/I4210165303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055435924","display_name":"Sylvie Le H\u00e9garat\u2010Mascle","orcid":"https://orcid.org/0000-0001-8494-2289"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210136613","display_name":"Laboratoire des syst\u00e8mes et applications des technologies de l'information et de l'\u00e9nergie","ror":"https://ror.org/03vam5b06","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210134562","https://openalex.org/I4210136613","https://openalex.org/I4210142324","https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sylvie Le H\u00e9garat-Mascle","raw_affiliation_strings":["SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France"],"raw_orcid":"https://orcid.org/0000-0001-8494-2289","affiliations":[{"raw_affiliation_string":"SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210136613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074824334","display_name":"Emanuel Aldea","orcid":"https://orcid.org/0000-0001-7065-4809"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210136613","display_name":"Laboratoire des syst\u00e8mes et applications des technologies de l'information et de l'\u00e9nergie","ror":"https://ror.org/03vam5b06","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210134562","https://openalex.org/I4210136613","https://openalex.org/I4210142324","https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emanuel Aldea","raw_affiliation_strings":["SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France"],"raw_orcid":"https://orcid.org/0000-0001-7065-4809","affiliations":[{"raw_affiliation_string":"SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, 91405 Orsay CEDEX, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210136613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055435924"],"corresponding_institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210136613"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13000782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"21","first_page":"4664","last_page":"4664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9937999844551086,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7633919715881348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.72715824842453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182248830795288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6604767441749573},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6597999930381775},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5829882025718689},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5795419216156006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4812197983264923},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.4441480040550232}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7633919715881348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.72715824842453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182248830795288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6604767441749573},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6597999930381775},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5829882025718689},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5795419216156006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4812197983264923},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.4441480040550232},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s19214664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214664","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31717870","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31717870","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:5875781","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6864766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:HAL:hal-02338018v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02338018","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":"Sensors, 2019, 19 (21), pp.4664. &#x27E8;10.3390/s19214664&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:0bc4a1fc94d64693bee921746b62f9fd","is_oa":true,"landing_page_url":"https://doaj.org/article/0bc4a1fc94d64693bee921746b62f9fd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 21, p 4664 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/21/4664/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19214664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19214664","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214664","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G4331645105","display_name":null,"funder_award_id":"NPRP-09-768-1-114","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"},{"id":"https://openalex.org/G4733111344","display_name":"Towards Modelling High-density Crowds for Assisting Planning and Safety","funder_award_id":"ANR-15-CE39-0005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W601603264","https://openalex.org/W1511628842","https://openalex.org/W1618905105","https://openalex.org/W1673923490","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1866206747","https://openalex.org/W1901129140","https://openalex.org/W1903127635","https://openalex.org/W1959608418","https://openalex.org/W1976818984","https://openalex.org/W1996202725","https://openalex.org/W2031454541","https://openalex.org/W2039051707","https://openalex.org/W2048196003","https://openalex.org/W2057850321","https://openalex.org/W2066843515","https://openalex.org/W2072348410","https://openalex.org/W2094970324","https://openalex.org/W2095705004","https://openalex.org/W2104853049","https://openalex.org/W2108677974","https://openalex.org/W2111051539","https://openalex.org/W2127538960","https://openalex.org/W2145983039","https://openalex.org/W2161969291","https://openalex.org/W2162741153","https://openalex.org/W2168356304","https://openalex.org/W2197872593","https://openalex.org/W2487437301","https://openalex.org/W2497039038","https://openalex.org/W2560321925","https://openalex.org/W2579152745","https://openalex.org/W2729018917","https://openalex.org/W2743905801","https://openalex.org/W2759880437","https://openalex.org/W2766548772","https://openalex.org/W2782757030","https://openalex.org/W2797148637","https://openalex.org/W2801833814","https://openalex.org/W2806704596","https://openalex.org/W2887054170","https://openalex.org/W2897403846","https://openalex.org/W2899770378","https://openalex.org/W2901701820","https://openalex.org/W2949117887","https://openalex.org/W2949493420","https://openalex.org/W2955669162","https://openalex.org/W2962850098","https://openalex.org/W2963024893","https://openalex.org/W2963076262","https://openalex.org/W2963153291","https://openalex.org/W2963207607","https://openalex.org/W2963238274","https://openalex.org/W2963315052","https://openalex.org/W2963881378","https://openalex.org/W2964059111","https://openalex.org/W2970395056","https://openalex.org/W3106141888","https://openalex.org/W4301347335","https://openalex.org/W6600213771","https://openalex.org/W6636501900","https://openalex.org/W6639216784","https://openalex.org/W6639461879","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6681368121","https://openalex.org/W6683411478","https://openalex.org/W6684488266"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W2154955495","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2500095415","https://openalex.org/W2097922264"],"abstract_inverted_index":{"The":[0,84],"main":[1],"objective":[2],"of":[3,11,17,23,30,42,94,113,118,131,146,151,153],"this":[4],"work":[5],"is":[6,99,106],"to":[7,49,57,64,90],"study":[8],"the":[9,15,50,92,124,128,139,147,154],"applicability":[10],"ensemble":[12,29,41],"methods":[13],"in":[14,73,88,102,149],"context":[16],"deep":[18],"learning":[19,60],"with":[20,39],"limited":[21],"amounts":[22],"labeled":[24],"data.":[25,120],"We":[26,121],"exploit":[27],"an":[28,40,58,74],"neural":[31],"networks":[32],"derived":[33],"using":[34],"Monte":[35],"Carlo":[36],"dropout,":[37],"along":[38],"SVM":[43],"classifiers":[44],"which":[45,77,105],"owes":[46],"its":[47,110],"effectiveness":[48],"hand-crafted":[51],"features":[52],"used":[53],"as":[54],"inputs":[55],"and":[56,82,115,137],"active":[59],"procedure.":[61],"In":[62],"order":[63,89],"leverage":[65],"each":[66],"classifier's":[67],"respective":[68],"strengths,":[69],"we":[70,86],"combine":[71],"them":[72],"evidential":[75],"framework,":[76],"models":[78],"specifically":[79],"their":[80],"imprecision":[81,117],"uncertainty.":[83],"application":[85],"consider":[87],"illustrate":[91],"interest":[93],"our":[95],"Multiple":[96],"Classifier":[97],"System":[98],"pedestrian":[100],"detection":[101],"high-density":[103],"crowds,":[104],"ideally":[107],"suited":[108],"for":[109,134,142],"difficulty,":[111],"cost":[112],"labeling":[114],"intrinsic":[116],"annotation":[119],"show":[122],"that":[123],"fusion":[125],"resulting":[126],"from":[127],"effective":[129],"modeling":[130],"uncertainty":[132],"allows":[133],"performance":[135],"improvement,":[136],"at":[138],"same":[140],"time,":[141],"a":[143],"deeper":[144],"interpretation":[145],"result":[148],"terms":[150],"commitment":[152],"decision.":[155]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
