{"id":"https://openalex.org/W2954603930","doi":"https://doi.org/10.1007/s11063-019-10074-0","title":"Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks","display_name":"Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-07-04","ids":{"openalex":"https://openalex.org/W2954603930","doi":"https://doi.org/10.1007/s11063-019-10074-0","mag":"2954603930"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-019-10074-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-019-10074-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.09399","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mikhail Iu. Leontev","orcid":null},"institutions":[{"id":"https://openalex.org/I194437852","display_name":"Ulyanovsk State University","ror":"https://ror.org/02vn11j58","country_code":"RU","type":"education","lineage":["https://openalex.org/I194437852"]},{"id":"https://openalex.org/I4210152187","display_name":"Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences","ror":"https://ror.org/05gbyky62","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210096333","https://openalex.org/I4210152187"]},{"id":"https://openalex.org/I4210161101","display_name":"Research Institute of Technology (Russia)","ror":"https://ror.org/056acjt11","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210161101"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Mikhail Iu. Leontev","raw_affiliation_strings":["Kotel\u2019nikov Institute of Radio Engineering and Electronics (Ulyanovsk Branch), Russian Academy of Sciences, 14 Spasskaya Str., Ulyanovsk, Russia, 432011","S.P. Kapitsa Research Institute of Technology (Technological Research Institute), Ulyanovsk State University, 4 Bld., 1 Universitetskaya Naberejnaya Str., Ulyanovsk, Russia, 432000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kotel\u2019nikov Institute of Radio Engineering and Electronics (Ulyanovsk Branch), Russian Academy of Sciences, 14 Spasskaya Str., Ulyanovsk, Russia, 432011","institution_ids":["https://openalex.org/I4210152187"]},{"raw_affiliation_string":"S.P. Kapitsa Research Institute of Technology (Technological Research Institute), Ulyanovsk State University, 4 Bld., 1 Universitetskaya Naberejnaya Str., Ulyanovsk, Russia, 432000","institution_ids":["https://openalex.org/I194437852","https://openalex.org/I4210161101"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Viktoriia Islenteva","orcid":null},"institutions":[{"id":"https://openalex.org/I90329211","display_name":"Ulyanovsk State Technical University","ror":"https://ror.org/00ksn4909","country_code":"RU","type":"education","lineage":["https://openalex.org/I90329211"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Viktoriia Islenteva","raw_affiliation_strings":["Ulyanovsk State Technical University, 32 Severny Venets Str., Ulyanovsk, Russia, 432027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulyanovsk State Technical University, 32 Severny Venets Str., Ulyanovsk, Russia, 432027","institution_ids":["https://openalex.org/I90329211"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sergey V. Sukhov","orcid":"https://orcid.org/0000-0002-8966-6030"},"institutions":[{"id":"https://openalex.org/I4210152187","display_name":"Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences","ror":"https://ror.org/05gbyky62","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210096333","https://openalex.org/I4210152187"]},{"id":"https://openalex.org/I90329211","display_name":"Ulyanovsk State Technical University","ror":"https://ror.org/00ksn4909","country_code":"RU","type":"education","lineage":["https://openalex.org/I90329211"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergey V. Sukhov","raw_affiliation_strings":["Kotel\u2019nikov Institute of Radio Engineering and Electronics (Ulyanovsk Branch), Russian Academy of Sciences, 14 Spasskaya Str., Ulyanovsk, Russia, 432011","Ulyanovsk State Technical University, 32 Severny Venets Str., Ulyanovsk, Russia, 432027"],"raw_orcid":"https://orcid.org/0000-0002-8966-6030","affiliations":[{"raw_affiliation_string":"Kotel\u2019nikov Institute of Radio Engineering and Electronics (Ulyanovsk Branch), Russian Academy of Sciences, 14 Spasskaya Str., Ulyanovsk, Russia, 432011","institution_ids":["https://openalex.org/I4210152187"]},{"raw_affiliation_string":"Ulyanovsk State Technical University, 32 Severny Venets Str., Ulyanovsk, Russia, 432027","institution_ids":["https://openalex.org/I90329211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152187","https://openalex.org/I90329211"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7059,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77694299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2287999987602234,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2287999987602234,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.18889999389648438,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.13809999823570251,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6884999871253967},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5939000248908997},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46320000290870667},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4442000091075897},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4250999987125397},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40139999985694885},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.3912000060081482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495999932289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6887999773025513},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6884999871253967},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4442000091075897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4415000081062317},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.3912000060081482},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.251800000667572},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11063-019-10074-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-019-10074-0","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1809.09399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.09399","pdf_url":"https://arxiv.org/pdf/1809.09399","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.09399","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.09399","pdf_url":"https://arxiv.org/pdf/1809.09399","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W59433541","https://openalex.org/W99485931","https://openalex.org/W1489426255","https://openalex.org/W1534477342","https://openalex.org/W1574427581","https://openalex.org/W1662276958","https://openalex.org/W1682403713","https://openalex.org/W1916279783","https://openalex.org/W1982219166","https://openalex.org/W1993717606","https://openalex.org/W2019625600","https://openalex.org/W2036564246","https://openalex.org/W2036963181","https://openalex.org/W2063689928","https://openalex.org/W2070534370","https://openalex.org/W2083728848","https://openalex.org/W2102605133","https://openalex.org/W2110048843","https://openalex.org/W2112514080","https://openalex.org/W2112796928","https://openalex.org/W2113175983","https://openalex.org/W2117539524","https://openalex.org/W2129851113","https://openalex.org/W2152220366","https://openalex.org/W2155910151","https://openalex.org/W2165698076","https://openalex.org/W2222512263","https://openalex.org/W2294370754","https://openalex.org/W2440023763","https://openalex.org/W2497173630","https://openalex.org/W2556838012","https://openalex.org/W2560647685","https://openalex.org/W2578980197","https://openalex.org/W2590915453","https://openalex.org/W2675848479","https://openalex.org/W2754688674","https://openalex.org/W2783038397","https://openalex.org/W2790226641","https://openalex.org/W2791840139","https://openalex.org/W2911964244","https://openalex.org/W2913340405","https://openalex.org/W2940791172","https://openalex.org/W3021931813"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2019-07-12T00:00:00"}
