{"id":"https://openalex.org/W4313525708","doi":"https://doi.org/10.1109/bibm55620.2022.9995352","title":"Expert with Outlier Exposure for Continual Learning of New Diseases","display_name":"Expert with Outlier Exposure for Continual Learning of New Diseases","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525708","doi":"https://doi.org/10.1109/bibm55620.2022.9995352"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995352","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5025286005","display_name":"Zhengjing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjing Xu","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091238714","display_name":"Kanghao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kanghao Chen","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033040193","display_name":"Zhijun Tan","orcid":"https://orcid.org/0000-0002-0577-326X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Tan","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415183","display_name":"Xiaobo Yang","orcid":"https://orcid.org/0000-0003-4080-4559"},"institutions":[{"id":"https://openalex.org/I2799435774","display_name":"State Administration of Traditional Chinese Medicine of the People's Republic of China","ror":"https://ror.org/003cpqh10","country_code":"CN","type":"government","lineage":["https://openalex.org/I271893122","https://openalex.org/I2799435774","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Yang","raw_affiliation_strings":["State Key Laboratory of Dampness Syndrome of Chinese Medicine,Guangzhou,China","State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dampness Syndrome of Chinese Medicine,Guangzhou,China","institution_ids":["https://openalex.org/I2799435774"]},{"raw_affiliation_string":"State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707149","display_name":"Ruixuan Wang","orcid":"https://orcid.org/0000-0002-8714-0369"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Wang","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","Department of Network Intelligence, Peng Cheng Laboratory, Shenzhen, China","Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Network Intelligence, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, MOE, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1768","last_page":"1772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9696000218391418,"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/classifier","display_name":"Classifier (UML)","score":0.7495024800300598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7393262982368469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7268194556236267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222303152084351},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6216802000999451},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6085363626480103},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5863463878631592},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4436587989330292},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36969590187072754}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7495024800300598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7393262982368469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7268194556236267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222303152084351},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6216802000999451},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6085363626480103},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5863463878631592},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4436587989330292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36969590187072754},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995352","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2060277733","https://openalex.org/W2110048843","https://openalex.org/W2116522068","https://openalex.org/W2473930607","https://openalex.org/W2519210008","https://openalex.org/W2560647685","https://openalex.org/W2743151379","https://openalex.org/W2788388592","https://openalex.org/W2794825826","https://openalex.org/W2922466325","https://openalex.org/W2948734064","https://openalex.org/W2951883849","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W2990064013","https://openalex.org/W3034856281","https://openalex.org/W3091175034","https://openalex.org/W3102785203","https://openalex.org/W3107810305","https://openalex.org/W3118608800","https://openalex.org/W3159650566","https://openalex.org/W3168149265","https://openalex.org/W3180392831","https://openalex.org/W3211008974","https://openalex.org/W4285552260","https://openalex.org/W4301365964","https://openalex.org/W6737377802","https://openalex.org/W6757615711","https://openalex.org/W6760883817","https://openalex.org/W6787972765","https://openalex.org/W6794876423","https://openalex.org/W6804126845"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W4318818647"],"abstract_inverted_index":{"Current":[0],"intelligent":[1],"diagnosis":[2],"systems":[3],"struggle":[4],"to":[5,8,15,79,88,140,168,197],"continually":[6],"learn":[7],"diagnose":[9],"more":[10,12],"and":[11,48,95,151,162,186,208,217,236],"diseases":[13],"due":[14],"catastrophic":[16],"forgetting":[17,39],"of":[18,107,116,147,153,182],"old":[19,28,46,102,117,149,160,212],"knowledge":[20],"when":[21],"learning":[22,33,216,227,250],"new":[23,50,61,86,99,155,163],"knowledge.":[24],"Although":[25],"storing":[26],"small":[27,114],"data":[29,43,115,146],"for":[30,85,180],"subsequent":[31],"continual":[32,226,249],"can":[34,165,220,246],"effectively":[35,247],"help":[36,89],"alleviate":[37,90],"the":[38,41,60,66,91,97,108,112,125,130,135,148,154,170,174,199,202,205,209,243],"issue,":[40],"heavy":[42],"imbalance":[44,93],"between":[45,144,159],"classes":[47,51,62,87,100,103,118,150,161,164],"to-be-learned":[49],"in":[52],"classifier":[53,84,137,176],"training":[54,109,124],"often":[55],"causes":[56],"biased":[57],"prediction":[58,181],"towards":[59],"just":[63],"learned":[64,98,184,211],"by":[65],"updated":[67,175,203],"classifier.":[68,213],"In":[69],"this":[70],"study,":[71],"an":[72,81],"outlier":[73],"detection":[74],"technique":[75],"is":[76,178,195],"novelly":[77],"applied":[78],"train":[80],"additional":[82],"expert":[83,126,136,206],"class":[92],"issue":[94],"discriminate":[96],"from":[101,134,173,201],"during":[104,123],"inference":[105,218],"(instead":[106],"phase).":[110],"Specially,":[111],"stored":[113],"are":[119,138],"considered":[120],"as":[121],"outliers":[122],"classifier,":[127,204,207],"such":[128],"that":[129,242],"output":[131,172],"probability":[132],"distributions":[133],"expected":[139],"be":[141,166,221],"obviously":[142],"different":[143],"test":[145],"those":[152],"classes.":[156,188],"Such":[157],"difference":[158],"used":[167],"fine-tune":[169],"original":[171],"which":[177],"responsible":[179],"all":[183],"(old":[185],"new)":[187],"During":[189],"inference,":[190],"a":[191],"novel":[192],"ensemble":[193],"strategy":[194],"proposed":[196,215,244],"combine":[198],"predictions":[200],"previously":[210],"The":[214],"framework":[219,245],"easily":[222],"combined":[223],"with":[224],"existing":[225],"strategies.":[228],"Empirical":[229],"evaluations":[230],"on":[231],"three":[232],"medical":[233],"image":[234,239],"datasets":[235],"one":[237],"natural":[238],"dataset":[240],"show":[241],"improve":[248],"performance.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}