{"id":"https://openalex.org/W3012174035","doi":"https://doi.org/10.1109/access.2020.2980386","title":"Exemplar-Supported Representation for Effective Class-Incremental Learning","display_name":"Exemplar-Supported Representation for Effective Class-Incremental Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012174035","doi":"https://doi.org/10.1109/access.2020.2980386","mag":"3012174035"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2980386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034001.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/ielx7/6287639/8948470/09034001.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101422551","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-1559-6022"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Guo","raw_affiliation_strings":["College of Information and Computer, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-1559-6022","affiliations":[{"raw_affiliation_string":"College of Information and Computer, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042609299","display_name":"Gang Xie","orcid":"https://orcid.org/0000-0001-5769-0565"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xie","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","Shanxi Key Laboratory of Advanced Control and Intelligent Information System, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5769-0565","affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"Shanxi Key Laboratory of Advanced Control and Intelligent Information System, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088143484","display_name":"Xinying Xu","orcid":"https://orcid.org/0000-0001-5968-5989"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Xu","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5968-5989","affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084316677","display_name":"Jinchang Ren","orcid":"https://orcid.org/0000-0001-6116-3194"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jinchang Ren","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6116-3194","affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K","institution_ids":["https://openalex.org/I181647926"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101422551"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.952,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80596128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"51276","last_page":"51284"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9869999885559082,"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":0.8271808624267578},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6948869228363037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6878044605255127},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.6009988784790039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5650500655174255},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5509891510009766},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5371423959732056},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5288242697715759},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5030977129936218},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4959026277065277},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4355366826057434},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.42788833379745483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41864168643951416},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41704148054122925},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4111365079879761}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271808624267578},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6948869228363037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6878044605255127},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.6009988784790039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5650500655174255},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5509891510009766},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5371423959732056},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5288242697715759},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5030977129936218},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4959026277065277},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4355366826057434},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.42788833379745483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41864168643951416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41704148054122925},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4111365079879761},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.2980386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034001.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:strathprints.strath.ac.uk:72318","is_oa":false,"landing_page_url":"https://strathprints.strath.ac.uk/view/author/772358.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402226","display_name":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I181647926","host_organization_name":"University of Strathclyde","host_organization_lineage":["https://openalex.org/I181647926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:e266c215cb7f4438b9f8d49a3b4ab0a5","is_oa":true,"landing_page_url":"https://doaj.org/article/e266c215cb7f4438b9f8d49a3b4ab0a5","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":"IEEE Access, Vol 8, Pp 51276-51284 (2020)","raw_type":"article"},{"id":"pmh:oai:rgu-repository.worktribe.com:1085422","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/1085422","pdf_url":null,"source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2980386","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980386","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034001.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":[],"awards":[{"id":"https://openalex.org/G1675265673","display_name":null,"funder_award_id":"201803D421039","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G2932030492","display_name":null,"funder_award_id":"201703D111023","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G3970985851","display_name":null,"funder_award_id":"201803D421039","funder_id":"https://openalex.org/F4320336035","funder_display_name":"Shanxi Provincial Key Research and Development Project"},{"id":"https://openalex.org/G5815282243","display_name":null,"funder_award_id":"201801D221190","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G7358737368","display_name":null,"funder_award_id":"201703D111023","funder_id":"https://openalex.org/F4320336035","funder_display_name":"Shanxi Provincial Key Research and Development Project"},{"id":"https://openalex.org/G7445667168","display_name":null,"funder_award_id":"201801D121144","funder_id":"https://openalex.org/F4320336035","funder_display_name":"Shanxi Provincial Key Research and Development Project"},{"id":"https://openalex.org/G783113594","display_name":null,"funder_award_id":"201801D121144","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320336035","display_name":"Shanxi Provincial Key Research and Development Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3012174035.pdf","grobid_xml":"https://content.openalex.org/works/W3012174035.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W1479911746","https://openalex.org/W1576445103","https://openalex.org/W1787402657","https://openalex.org/W1966872876","https://openalex.org/W1977544285","https://openalex.org/W1979631293","https://openalex.org/W2015563892","https://openalex.org/W2017369124","https://openalex.org/W2018124860","https://openalex.org/W2036963181","https://openalex.org/W2047581872","https://openalex.org/W2047643928","https://openalex.org/W2060277733","https://openalex.org/W2103753221","https://openalex.org/W2108807072","https://openalex.org/W2109526843","https://openalex.org/W2110569316","https://openalex.org/W2116522068","https://openalex.org/W2132641846","https://openalex.org/W2139047213","https://openalex.org/W2151933617","https://openalex.org/W2163605009","https://openalex.org/W2165232124","https://openalex.org/W2194775991","https://openalex.org/W2267727210","https://openalex.org/W2533598788","https://openalex.org/W2560647685","https://openalex.org/W2625674597","https://openalex.org/W2737492962","https://openalex.org/W2773246426","https://openalex.org/W2791091755","https://openalex.org/W2884282566","https://openalex.org/W2888966461","https://openalex.org/W2892936772","https://openalex.org/W2895723011","https://openalex.org/W2948734064","https://openalex.org/W2950958145","https://openalex.org/W2951370366","https://openalex.org/W2954929116","https://openalex.org/W2955425717","https://openalex.org/W2962707369","https://openalex.org/W2962945654","https://openalex.org/W2962966271","https://openalex.org/W2963043696","https://openalex.org/W2963072899","https://openalex.org/W2963211188","https://openalex.org/W2963588172","https://openalex.org/W2964189064","https://openalex.org/W3021931813","https://openalex.org/W3118608800","https://openalex.org/W3139134024","https://openalex.org/W4301163820","https://openalex.org/W6603586546","https://openalex.org/W6676485797","https://openalex.org/W6679469402","https://openalex.org/W6682278937","https://openalex.org/W6684191040","https://openalex.org/W6738045163","https://openalex.org/W6741217325","https://openalex.org/W6745134051","https://openalex.org/W6762718338","https://openalex.org/W7018933044"],"related_works":["https://openalex.org/W4281760909","https://openalex.org/W4287067590","https://openalex.org/W4392931078","https://openalex.org/W3186262193","https://openalex.org/W3192176272","https://openalex.org/W3210573383","https://openalex.org/W4297634446","https://openalex.org/W4391158518","https://openalex.org/W4381322349","https://openalex.org/W3085307110"],"abstract_inverted_index":{"Catastrophic":[0],"forgetting":[1],"is":[2,84,109,129],"a":[3,35],"key":[4],"challenge":[5],"for":[6,39,70],"class-incremental":[7],"learning":[8,41,67],"with":[9,20],"deep":[10],"neural":[11],"networks,":[12],"where":[13],"the":[14,58,62,74,77,88,94,100,103,112,116,120,127,139,146,166,169],"performance":[15,95],"decreases":[16],"considerably":[17],"while":[18],"dealing":[19],"long":[21],"sequences":[22],"of":[23,46,64,76,99,119,124,141,148,168],"new":[24,36],"classes.":[25],"To":[26],"tackle":[27],"this":[28,31],"issue,":[29],"in":[30,151],"paper,":[32],"we":[33,50],"propose":[34],"exemplar-supported":[37],"representation":[38,66],"incremental":[40],"(ESRIL)":[42],"approach":[43],"that":[44],"consists":[45],"three":[47],"components.":[48],"First,":[49],"use":[51],"memory":[52],"aware":[53],"synapses":[54],"(MAS)":[55],"pre-trained":[56],"on":[57,155],"ImageNet":[59],"to":[60,86,114,137],"retain":[61],"ability":[63],"robust":[65],"and":[68,133,145,158],"classification":[69],"old":[71],"classes":[72],"from":[73,96],"perspective":[75],"model.":[78,153],"Second,":[79],"exemplar-based":[80],"subspace":[81],"clustering":[82],"(ESC)":[83],"utilized":[85],"construct":[87],"exemplar":[89],"set,":[90],"which":[91],"can":[92],"keep":[93],"various":[97,142],"views":[98],"data.":[101],"Third,":[102],"nearest":[104],"class":[105],"multiple":[106],"centroids":[107],"(NCMC)":[108],"used":[110],"as":[111],"classifier":[113],"save":[115],"training":[117],"cost":[118],"fully":[121,164],"connected":[122],"layer":[123],"MAS":[125],"when":[126],"criterion":[128],"met.":[130],"Intensive":[131],"experiments":[132],"analyses":[134],"are":[135],"presented":[136],"show":[138],"influence":[140],"backbone":[143],"structures":[144],"effectiveness":[147],"different":[149],"components":[150],"our":[152],"Experiments":[154],"several":[156],"general-purpose":[157],"fine-grained":[159],"image":[160],"recognition":[161],"datasets":[162],"have":[163],"demonstrated":[165],"efficacy":[167],"proposed":[170],"methodology.":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}