{"id":"https://openalex.org/W4285817571","doi":"https://doi.org/10.1109/access.2022.3192024","title":"Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification","display_name":"Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285817571","doi":"https://doi.org/10.1109/access.2022.3192024"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3192024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09832601.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09832601.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033187358","display_name":"Joel Jaskari","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Joel Jaskari","raw_affiliation_strings":["Department of Computer Science, Aalto University, Aalto, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032690739","display_name":"Jaakko Sahlsten","orcid":"https://orcid.org/0000-0002-7364-6502"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jaakko Sahlsten","raw_affiliation_strings":["Department of Computer Science, Aalto University, Aalto, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087781429","display_name":"Theodoros Damoulas","orcid":"https://orcid.org/0000-0002-7172-4829"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Theodoros Damoulas","raw_affiliation_strings":["The Alan Turing Institute, London, U.K","The Alan Turing Institute, London, United Kingdom","University of Warwick, Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"The Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]},{"raw_affiliation_string":"The Alan Turing Institute, London, United Kingdom","institution_ids":["https://openalex.org/I4210128584"]},{"raw_affiliation_string":"University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081137346","display_name":"Jeremias Knoblauch","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeremias Knoblauch","raw_affiliation_strings":["Department of Statistical Science, University College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075994876","display_name":"Simo S\u00e4rkk\u00e4","orcid":"https://orcid.org/0000-0002-7031-9354"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Simo Sarkka","raw_affiliation_strings":["Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643834","display_name":"Leo K\u00e4rkk\u00e4inen","orcid":"https://orcid.org/0000-0001-8228-6265"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Leo Karkkainen","raw_affiliation_strings":["Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113890237","display_name":"Kustaa Hietala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140036","display_name":"Central Finland Health Care District","ror":"https://ror.org/054h11b04","country_code":"FI","type":"healthcare","lineage":["https://openalex.org/I4210140036"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kustaa Hietala","raw_affiliation_strings":["Central Finland Health Care District, Jyväskylä, Finland",", Finland","skyl&#x00E4"],"affiliations":[{"raw_affiliation_string":"Central Finland Health Care District, Jyväskylä, Finland","institution_ids":["https://openalex.org/I4210140036"]},{"raw_affiliation_string":", Finland","institution_ids":[]},{"raw_affiliation_string":"skyl&#x00E4","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065692438","display_name":"Kimmo Kaski","orcid":"https://orcid.org/0000-0002-3805-9687"},"institutions":[{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","GB"],"is_corresponding":false,"raw_author_name":"Kimmo K. Kaski","raw_affiliation_strings":["Department of Computer Science, Aalto University, Aalto, Finland","The Alan Turing Institute, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"The Alan Turing Institute, London, United Kingdom","institution_ids":["https://openalex.org/I4210128584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033187358"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.4874,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96573482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"76669","last_page":"76681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9955999851226807,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616372108459473},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7137245535850525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6953588128089905},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.616761326789856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5819609761238098},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4903583526611328},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46047842502593994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4479774236679077},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.4464697241783142},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4216029942035675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3937735855579376},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12837716937065125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1237686276435852},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08221796154975891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616372108459473},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7137245535850525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6953588128089905},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.616761326789856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5819609761238098},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4903583526611328},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46047842502593994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4479774236679077},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.4464697241783142},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4216029942035675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3937735855579376},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12837716937065125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1237686276435852},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08221796154975891},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2022.3192024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09832601.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:169417","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/116091","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/9cf0ac88-8e76-4dcd-8e8c-7a47295afa82","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"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":"publishedVersion"},{"id":"pmh:oai:doaj.org/article:9a11f64f8d9b44a8a3e58a3351a5100e","is_oa":true,"landing_page_url":"https://doaj.org/article/9a11f64f8d9b44a8a3e58a3351a5100e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 76669-76681 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3192024","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3192024","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09832601.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G31787768","display_name":null,"funder_award_id":"EP/W005859/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5102632956","display_name":"Explainable AI Technologies for Segmenting 3D Imaging Data","funder_award_id":"345449","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G5494690129","display_name":null,"funder_award_id":"345449","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6759955477","display_name":null,"funder_award_id":"EP/V02678X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285817571.pdf","grobid_xml":"https://content.openalex.org/works/W4285817571.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1969496006","https://openalex.org/W2034365297","https://openalex.org/W2037789405","https://openalex.org/W2073244572","https://openalex.org/W2095705004","https://openalex.org/W2115531174","https://openalex.org/W2118377301","https://openalex.org/W2529153069","https://openalex.org/W2557738935","https://openalex.org/W2762741128","https://openalex.org/W2772246530","https://openalex.org/W2935900679","https://openalex.org/W2951965145","https://openalex.org/W2964291324","https://openalex.org/W2994724413","https://openalex.org/W2994795100","https://openalex.org/W3022092973","https://openalex.org/W3028394061","https://openalex.org/W4212774754","https://openalex.org/W4212863985","https://openalex.org/W4248681815","https://openalex.org/W6617145748","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6684488266","https://openalex.org/W6730042731","https://openalex.org/W6739651123","https://openalex.org/W6757619437","https://openalex.org/W6762617820","https://openalex.org/W6762718338","https://openalex.org/W6769760422","https://openalex.org/W6771286175","https://openalex.org/W6771412588","https://openalex.org/W6778883912","https://openalex.org/W6801381466"],"related_works":["https://openalex.org/W3203337527","https://openalex.org/W2044207570","https://openalex.org/W4244634705","https://openalex.org/W1980571360","https://openalex.org/W3023629149","https://openalex.org/W2912406428","https://openalex.org/W4256153729","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059"],"abstract_inverted_index":{"Automatic":[0],"classification":[1,59,79,87,126,146],"of":[2,32],"diabetic":[3,57,185],"retinopathy":[4,58,186],"from":[5,101],"retinal":[6],"images":[7],"has":[8],"been":[9,43],"increasingly":[10],"studied":[11],"using":[12],"deep":[13],"neural":[14,34,39],"networks":[15,40],"with":[16,82],"impressive":[17],"results.":[18],"However,":[19],"there":[20],"is":[21],"clinical":[22,75,121,144,156,165,188,213],"need":[23],"for":[24,45,68,123,148,154,180,206],"estimating":[25],"uncertainty":[26,96,107,115,160,181,192],"in":[27,142,183],"the":[28,54,111,120,124,136,143,149,155,164,198],"classifications,":[29],"a":[30,74,92,105],"shortcoming":[31],"modern":[33],"networks.":[35],"Recently,":[36],"approximate":[37],"Bayesian":[38],"(BNNs)":[41],"have":[42,51],"proposed":[44,113],"this":[46],"task,":[47],"but":[48,128,152],"previous":[49],"studies":[50],"only":[52],"considered":[53],"binary":[55,86,125],"referable/non-referable":[56],"applied":[60],"to":[61,130,163,168,196,212],"benchmark":[62,83,137,150,170,207],"datasets.":[63,138,214],"We":[64],"present":[65],"novel":[66,106,159],"results":[67],"9":[69],"BNNs":[70,176],"by":[71],"systematically":[72],"investigating":[73],"dataset":[76,122,166],"and":[77,85,98,167],"5-class":[78,145],"scheme,":[80,127],"together":[81],"datasets":[84,208],"scheme.":[88],"Moreover,":[89],"we":[90,103],"derive":[91],"connection":[93],"between":[94],"entropy-based":[95,114],"measure":[97,116,161],"classifier":[99],"risk,":[100],"which":[102],"develop":[104],"measure.We":[108],"observe":[109],"that":[110,175],"previously":[112],"improves":[117,140],"performance":[118,141,200],"on":[119,135,187],"not":[129,153,210],"such":[131],"an":[132],"extent":[133],"as":[134],"It":[139],"scheme":[147],"datasets,":[151],"dataset.":[157,171],"Our":[158,172],"generalizes":[162],"one":[169],"findings":[173],"suggest":[174],"can":[177],"be":[178],"utilized":[179],"estimation":[182],"classifying":[184],"data,":[189],"though":[190],"proper":[191],"measures":[193],"are":[194],"needed":[195],"optimize":[197],"desired":[199],"measure.":[201],"In":[202],"addition,":[203],"methods":[204],"developed":[205],"might":[209],"generalize":[211]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}