{"id":"https://openalex.org/W3207851878","doi":"https://doi.org/10.1007/s10489-023-04730-1","title":"A dimensionality reduction approach for convolutional neural networks","display_name":"A dimensionality reduction approach for convolutional neural networks","publication_year":2023,"publication_date":"2023-07-04","ids":{"openalex":"https://openalex.org/W3207851878","doi":"https://doi.org/10.1007/s10489-023-04730-1","mag":"3207851878"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-04730-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-04730-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04730-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04730-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077743159","display_name":"Laura Meneghetti","orcid":"https://orcid.org/0000-0002-7384-1025"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Laura Meneghetti","raw_affiliation_strings":["Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy","institution_ids":["https://openalex.org/I138549579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043599485","display_name":"Nicola Demo","orcid":"https://orcid.org/0000-0003-3107-9738"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Demo","raw_affiliation_strings":["Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy","institution_ids":["https://openalex.org/I138549579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061558433","display_name":"Gianluigi Rozza","orcid":"https://orcid.org/0000-0002-0810-8812"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gianluigi Rozza","raw_affiliation_strings":["Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0810-8812","affiliations":[{"raw_affiliation_string":"Mathematics Area, mathLab, SISSA, via Bonomea 265, Trieste, I-34136, Italy","institution_ids":["https://openalex.org/I138549579"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061558433"],"corresponding_institution_ids":["https://openalex.org/I138549579"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.0547,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85301729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"53","issue":"19","first_page":"22818","last_page":"22833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9843000173568726,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8807656764984131},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7590535879135132},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6553069353103638},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.635246992111206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615252256393433},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5303488373756409},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5063966512680054},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4881742596626282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4762413799762726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4608649015426636},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4214743971824646},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4140092134475708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06610727310180664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8807656764984131},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7590535879135132},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6553069353103638},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.635246992111206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615252256393433},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5303488373756409},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5063966512680054},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4881742596626282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4762413799762726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4608649015426636},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4214743971824646},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4140092134475708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06610727310180664},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-023-04730-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-04730-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04730-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2110.09163","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.09163","pdf_url":"https://arxiv.org/pdf/2110.09163","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"doi:10.1007/s10489-023-04730-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-04730-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-04730-1.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3672363659","display_name":"Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics","funder_award_id":"681447","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3207851878.pdf"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W1485437584","https://openalex.org/W1538934584","https://openalex.org/W1544211475","https://openalex.org/W1686810756","https://openalex.org/W1746819321","https://openalex.org/W1798945469","https://openalex.org/W1821462560","https://openalex.org/W1965847964","https://openalex.org/W2010336595","https://openalex.org/W2018159038","https://openalex.org/W2039195889","https://openalex.org/W2049774453","https://openalex.org/W2053469438","https://openalex.org/W2058641082","https://openalex.org/W2088335308","https://openalex.org/W2103559015","https://openalex.org/W2104636679","https://openalex.org/W2116386142","https://openalex.org/W2127141656","https://openalex.org/W2133041109","https://openalex.org/W2147836374","https://openalex.org/W2163605009","https://openalex.org/W2165805036","https://openalex.org/W2194775991","https://openalex.org/W2267573953","https://openalex.org/W2267635276","https://openalex.org/W2321957512","https://openalex.org/W2333312111","https://openalex.org/W2367030253","https://openalex.org/W2516041031","https://openalex.org/W2557283755","https://openalex.org/W2617994470","https://openalex.org/W2618530766","https://openalex.org/W2622826443","https://openalex.org/W2624304629","https://openalex.org/W2742947407","https://openalex.org/W2747680751","https://openalex.org/W2766267279","https://openalex.org/W2793893205","https://openalex.org/W2884001105","https://openalex.org/W2896409484","https://openalex.org/W2897295818","https://openalex.org/W2901090014","https://openalex.org/W2910121883","https://openalex.org/W2930581984","https://openalex.org/W2962851801","https://openalex.org/W2962939807","https://openalex.org/W2962949934","https://openalex.org/W2963363373","https://openalex.org/W2964118293","https://openalex.org/W2964261616","https://openalex.org/W2964299589","https://openalex.org/W2964305695","https://openalex.org/W2965862774","https://openalex.org/W2970971581","https://openalex.org/W2988916019","https://openalex.org/W2989808579","https://openalex.org/W2999803881","https://openalex.org/W2999963857","https://openalex.org/W3003257820","https://openalex.org/W3004127093","https://openalex.org/W3008802455","https://openalex.org/W3011371203","https://openalex.org/W3012165385","https://openalex.org/W3022086662","https://openalex.org/W3034368386","https://openalex.org/W3034818206","https://openalex.org/W3080980059","https://openalex.org/W3091810656","https://openalex.org/W3095125464","https://openalex.org/W3100321043","https://openalex.org/W3103869760","https://openalex.org/W3105890793","https://openalex.org/W3118608800","https://openalex.org/W3127873279","https://openalex.org/W3138154797","https://openalex.org/W3140854437","https://openalex.org/W3187277596","https://openalex.org/W3187295906","https://openalex.org/W3196481167","https://openalex.org/W3199430110","https://openalex.org/W3202145349","https://openalex.org/W3212281303","https://openalex.org/W3217606893","https://openalex.org/W4206351424","https://openalex.org/W4211049957","https://openalex.org/W4232619139","https://openalex.org/W4252750892","https://openalex.org/W4256161595","https://openalex.org/W4288076655","https://openalex.org/W4288083474","https://openalex.org/W4300578686","https://openalex.org/W4312638763","https://openalex.org/W4312690709"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W1484111231","https://openalex.org/W3133861977","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125"],"abstract_inverted_index":{"Abstract":[0],"The":[1,63,86],"focus":[2],"of":[3,10,37,69,100,123],"this":[4],"work":[5],"is":[6],"on":[7],"the":[8,35,45,67,92,104,121],"application":[9],"classical":[11],"Model":[12],"Order":[13],"Reduction":[14],"techniques,":[15],"such":[16,54],"as":[17,55],"Active":[18],"Subspaces":[19],"and":[20,59,133,142],"Proper":[21],"Orthogonal":[22],"Decomposition,":[23],"to":[24,33,103],"Deep":[25],"Neural":[26,61,73,107],"Networks.":[27,62],"We":[28],"propose":[29],"a":[30,40,98,143],"generic":[31],"methodology":[32,130],"reduce":[34],"number":[36],"layers":[38],"in":[39,79,120],"pre-trained":[41],"network":[42],"by":[43],"combining":[44],"aforementioned":[46],"techniques":[47],"for":[48],"dimensionality":[49],"reduction":[50],"with":[51,82],"input-output":[52],"mappings,":[53],"Polynomial":[56],"Chaos":[57],"Expansion":[58],"Feedforward":[60],"motivation":[64],"behind":[65],"compressing":[66],"architecture":[68],"an":[70],"existing":[71],"Convolutional":[72,106],"Network":[74,108],"arises":[75],"from":[76],"its":[77],"usage":[78],"embedded":[80],"systems":[81],"specific":[83],"storage":[84],"constraints.":[85],"conducted":[87],"numerical":[88],"tests":[89],"demonstrate":[90],"that":[91],"resulting":[93],"reduced":[94],"networks":[95],"can":[96],"achieve":[97],"level":[99],"accuracy":[101],"comparable":[102],"original":[105],"being":[109],"examined,":[110],"while":[111],"also":[112],"saving":[113],"memory":[114],"allocation.":[115],"Our":[116],"primary":[117],"emphasis":[118],"lies":[119],"field":[122],"image":[124],"recognition,":[125],"where":[126],"we":[127],"tested":[128],"our":[129],"using":[131],"VGG-16":[132],"ResNet-110":[134],"architectures":[135],"against":[136],"three":[137],"different":[138],"datasets:":[139],"CIFAR-10,":[140],"CIFAR-100,":[141],"custom":[144],"dataset.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
