{"id":"https://openalex.org/W3198636227","doi":"https://doi.org/10.1109/tnnls.2021.3104882","title":"Learning to Classify With Incremental New Class","display_name":"Learning to Classify With Incremental New Class","publication_year":2021,"publication_date":"2021-09-09","ids":{"openalex":"https://openalex.org/W3198636227","doi":"https://doi.org/10.1109/tnnls.2021.3104882","mag":"3198636227","pmid":"https://pubmed.ncbi.nlm.nih.gov/34499605"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3104882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3104882","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100655948","display_name":"Da-Wei Zhou","orcid":"https://orcid.org/0000-0001-7226-7773"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Da-Wei Zhou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397623","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5245-3584"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":null,"display_name":"De-Chuan Zhan","orcid":"https://orcid.org/0000-0001-9303-2519"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Chuan Zhan","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100655948"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":5.8783,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.96781526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":"6","first_page":"2429","last_page":"2443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9976000189781189,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.7858333587646484},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7593114972114563},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.6926293969154358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6143808960914612},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6114288568496704},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.6013873815536499},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5429434776306152},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5273619294166565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4911074638366699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858333587646484},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7593114972114563},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.6926293969154358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6143808960914612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6114288568496704},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.6013873815536499},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5429434776306152},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5273619294166565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4911074638366699},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3104882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3104882","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34499605","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34499605","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2047863804","display_name":null,"funder_award_id":"BK20200460","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2271318814","display_name":null,"funder_award_id":"61861146001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4399191231","display_name":null,"funder_award_id":"CXYJ21-53","funder_id":"https://openalex.org/F4320324852","funder_display_name":"Nanjing University"},{"id":"https://openalex.org/G5072222428","display_name":null,"funder_award_id":"61773198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G528746023","display_name":null,"funder_award_id":"61921006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5547653852","display_name":null,"funder_award_id":"62006118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863732217","display_name":null,"funder_award_id":"61632004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W55606816","https://openalex.org/W182707955","https://openalex.org/W1565746575","https://openalex.org/W1598260899","https://openalex.org/W1617839798","https://openalex.org/W1821462560","https://openalex.org/W2007972815","https://openalex.org/W2049151032","https://openalex.org/W2054149018","https://openalex.org/W2055294489","https://openalex.org/W2060300932","https://openalex.org/W2062170945","https://openalex.org/W2074988520","https://openalex.org/W2095953800","https://openalex.org/W2099419573","https://openalex.org/W2099940443","https://openalex.org/W2122646361","https://openalex.org/W2128532956","https://openalex.org/W2130416896","https://openalex.org/W2134641333","https://openalex.org/W2150295085","https://openalex.org/W2170403573","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2296719434","https://openalex.org/W2412094331","https://openalex.org/W2434851943","https://openalex.org/W2470412537","https://openalex.org/W2531327146","https://openalex.org/W2536626143","https://openalex.org/W2558481215","https://openalex.org/W2560647685","https://openalex.org/W2561521190","https://openalex.org/W2604680822","https://openalex.org/W2620661538","https://openalex.org/W2744198018","https://openalex.org/W2750384547","https://openalex.org/W2767534812","https://openalex.org/W2803751227","https://openalex.org/W2901114541","https://openalex.org/W2942770187","https://openalex.org/W2949071326","https://openalex.org/W2951761524","https://openalex.org/W2952363938","https://openalex.org/W2955173751","https://openalex.org/W2963066927","https://openalex.org/W2963149653","https://openalex.org/W2963183879","https://openalex.org/W2963314614","https://openalex.org/W2963445059","https://openalex.org/W2963559848","https://openalex.org/W2963693742","https://openalex.org/W2964149421","https://openalex.org/W2964189064","https://openalex.org/W2970971581","https://openalex.org/W2986119938","https://openalex.org/W2996322048","https://openalex.org/W3003410761","https://openalex.org/W3016344614","https://openalex.org/W3025169037","https://openalex.org/W3035099063","https://openalex.org/W3035224069","https://openalex.org/W3035624110","https://openalex.org/W3040266635","https://openalex.org/W3042783488","https://openalex.org/W3109225397","https://openalex.org/W3133666793","https://openalex.org/W3135550350","https://openalex.org/W3144030986","https://openalex.org/W3160407923","https://openalex.org/W3175034780","https://openalex.org/W3177034761","https://openalex.org/W4246266734","https://openalex.org/W4295312788","https://openalex.org/W6601146891","https://openalex.org/W6638523607","https://openalex.org/W6671428793","https://openalex.org/W6682222085","https://openalex.org/W6728622933","https://openalex.org/W6738602802","https://openalex.org/W6743688258","https://openalex.org/W6745891213","https://openalex.org/W6752083267","https://openalex.org/W6752174245","https://openalex.org/W6766978945","https://openalex.org/W6779335803"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W198251434","https://openalex.org/W4312933423"],"abstract_inverted_index":{"New":[0],"class":[1,71,113,140,162,194],"detection":[2,61],"and":[3,41,62,145,188,199],"effective":[4],"model":[5,67,185],"expansion":[6],"are":[7,51],"of":[8,29,87,142,206],"great":[9],"importance":[10],"in":[11,32,38,48,55,122],"incremental":[12,17,103,111],"data":[13,18,20],"mining.":[14],"In":[15,126],"open":[16],"environments,":[19],"often":[21],"come":[22],"with":[23,68,110,156,191],"novel":[24,70,98,131,161,193],"classes,":[25],"e.g.,":[26],"the":[27,66,80,85,102,136,153,166,169,184,204],"emergence":[28],"new":[30,36,104,112],"classes":[31,144],"image":[33],"classification":[34],"or":[35],"topics":[37],"opinion":[39],"monitoring,":[40],"is":[42],"denoted":[43],"as":[44,176],"class-incremental":[45],"learning":[46,107],"(C-IL)":[47],"literature.":[49],"There":[50],"two":[52,119],"main":[53],"challenges":[54,120],"C-IL:":[56],"how":[57,63],"to":[58,64,79,100,108,134,159,182],"conduct":[59],"novelty":[60],"update":[65],"few":[69],"instances.":[72,195],"Most":[73],"previous":[74],"methods":[75],"pay":[76],"much":[77,186],"attention":[78],"former":[81],"challenge":[82],"while":[83],"ignoring":[84],"problem":[86],"efficiently":[88,190],"updating":[89],"models.":[90],"To":[91],"solve":[92],"this":[93],"problem,":[94],"we":[95],"propose":[96],"a":[97,130,177],"framework":[99],"handle":[101],"class,":[105],"named":[106],"classify":[109],"(LC-INC),":[114],"which":[115,149,179],"can":[116,150,173,180],"process":[117],"these":[118],"automatically":[121],"one":[123],"unified":[124],"framework.":[125],"detail,":[127],"LC-INC":[128],"utilizes":[129],"structure":[132,157,171],"network":[133,172],"consider":[135],"prototype":[137],"information":[138,155,158],"between":[139],"centers":[141],"known":[143],"newly":[146],"incoming":[147],"instances,":[148],"dynamically":[151],"combine":[152],"prediction":[154],"detect":[160],"instances":[163],"efficiently.":[164],"On":[165],"other":[167],"hand,":[168],"proposed":[170,208],"also":[174],"act":[175],"meta-network,":[178],"learn":[181],"expand":[183],"faster":[187],"more":[189],"inadequate":[192],"Experiments":[196],"on":[197],"synthetic":[198],"real-world":[200],"datasets":[201],"successfully":[202],"validate":[203],"effectiveness":[205],"our":[207],"method.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":10}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}