{"id":"https://openalex.org/W4322774152","doi":"https://doi.org/10.3390/s23052718","title":"SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction","display_name":"SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction","publication_year":2023,"publication_date":"2023-03-02","ids":{"openalex":"https://openalex.org/W4322774152","doi":"https://doi.org/10.3390/s23052718","pmid":"https://pubmed.ncbi.nlm.nih.gov/36904922"},"language":"en","primary_location":{"id":"doi:10.3390/s23052718","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23052718","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2718/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/5/2718/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085098646","display_name":"Asier Garmendia-Orbegozo","orcid":"https://orcid.org/0000-0003-3787-8186"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Asier Garmendia-Orbegozo","raw_affiliation_strings":["Department of Applied Mathematics, University of the Basque Country UPV/EHU, 20600 Eibar, Spain"],"raw_orcid":"https://orcid.org/0000-0003-3787-8186","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of the Basque Country UPV/EHU, 20600 Eibar, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081514893","display_name":"J. David N\u00fa\u00f1ez-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-5047-1033"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jose David Nu\u00f1ez-Gonzalez","raw_affiliation_strings":["Department of Applied Mathematics, University of the Basque Country UPV/EHU, 20600 Eibar, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5047-1033","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of the Basque Country UPV/EHU, 20600 Eibar, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029126384","display_name":"Miguel Ant\u00f3n","orcid":"https://orcid.org/0000-0002-3775-2906"},"institutions":[{"id":"https://openalex.org/I4210113430","display_name":"Tecnalia","ror":"https://ror.org/02fv8hj62","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210113430"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Angel Anton","raw_affiliation_strings":["TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 San Sebastian, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3775-2906","affiliations":[{"raw_affiliation_string":"TECNALIA, Basque Research and Technology Alliance (BRTA), 20009 San Sebastian, Spain","institution_ids":["https://openalex.org/I4210113430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081514893"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.162,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51637103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"5","first_page":"2718","last_page":"2718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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/T12676","display_name":"Machine Learning and ELM","score":0.9987000226974487,"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":0.9975000023841858,"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/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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/reduction","display_name":"Reduction (mathematics)","score":0.6437243819236755},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6070363521575928},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5773305892944336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633610486984253},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4147314727306366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.377199649810791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37612777948379517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2955048680305481},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17849141359329224},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.13934868574142456},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0917828381061554}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6437243819236755},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6070363521575928},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5773305892944336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633610486984253},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4147314727306366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.377199649810791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37612777948379517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2955048680305481},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17849141359329224},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.13934868574142456},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0917828381061554},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s23052718","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23052718","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2718/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36904922","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36904922","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:addi.ehu.eus:10810/60336","is_oa":true,"landing_page_url":"http://hdl.handle.net/10810/60336","pdf_url":"http://addi.ehu.es/bitstream/10810/60336/1/sensors-23-02718.pdf","source":{"id":"https://openalex.org/S4306401964","display_name":"Communities in ADDI (University of the Basque Country)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169108374","host_organization_name":"University of the Basque Country","host_organization_lineage":["https://openalex.org/I169108374"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10006865","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10006865","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10006865/pdf/sensors-23-02718.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fd04a5c54cd2451bb75067c64319973c","is_oa":true,"landing_page_url":"https://doaj.org/article/fd04a5c54cd2451bb75067c64319973c","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":"Sensors, Vol 23, Iss 5, p 2718 (2023)","raw_type":"article"},{"id":"pmh:oai:dsp.tecnalia.com:11556/5072","is_oa":true,"landing_page_url":"https://hdl.handle.net/11556/5072","pdf_url":null,"source":{"id":"https://openalex.org/S4306402037","display_name":"TECNALIA Publications (Fundaci\u00f3n TECNALIA Research & Innovation)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210113430","host_organization_name":"Tecnalia","host_organization_lineage":["https://openalex.org/I4210113430"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/5/2718/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23052718","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23052718","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23052718","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2718/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322774152.pdf","grobid_xml":"https://content.openalex.org/works/W4322774152.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2058641082","https://openalex.org/W2112796928","https://openalex.org/W2138019504","https://openalex.org/W2156150815","https://openalex.org/W2294543795","https://openalex.org/W2600746833","https://openalex.org/W2754084392","https://openalex.org/W2943925420","https://openalex.org/W2963145730","https://openalex.org/W2994881943","https://openalex.org/W3006631416","https://openalex.org/W4250714819"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2152992791","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2352590024"],"abstract_inverted_index":{"Application":[0],"of":[1,14,17,23,30,46,59,126,146,157,160,162,170,192,220],"deep":[2],"neural":[3],"networks":[4],"(DNN)":[5],"in":[6,26,64,89,203],"edge":[7],"computing":[8],"has":[9,99,120,136],"emerged":[10],"as":[11,71,73,129,139,154],"a":[12,27,53,130,140],"consequence":[13],"the":[15,43,55,68,76,93,114,118,124,133,144,147,155,158,168,171,174,182,185,190,209,217,221,224],"need":[16],"real":[18],"time":[19],"and":[20,117,167],"distributed":[21],"response":[22,219],"different":[24,60,84,104],"devices":[25],"large":[28],"number":[29,45],"scenarios.":[31],"To":[32,80],"this":[33,90],"end,":[34],"shredding":[35],"these":[36,127,163],"original":[37],"structures":[38],"is":[39],"urgent":[40],"due":[41],"to":[42,49,66,75,102,109,123,206],"high":[44],"parameters":[47],"needed":[48],"represent":[50],"them.":[51],"As":[52],"consequence,":[54],"most":[56],"representative":[57],"components":[58,151],"layers":[61,108,128,212],"are":[62,179],"kept":[63],"order":[65],"maintain":[67],"network's":[69,78],"accuracy":[70],"close":[72],"possible":[74],"entire":[77],"ones.":[79],"do":[81],"so,":[82],"two":[83,103],"approaches":[85],"have":[86,199,213],"been":[87,100,121,137,200],"developed":[88],"work.":[91],"First,":[92],"Sparse":[94],"Low":[95],"Rank":[96],"Method":[97],"(SLR)":[98],"applied":[101,122],"Fully":[105],"Connected":[106],"(FC)":[107],"watch":[110],"their":[111],"effect":[112,215],"on":[113,216],"final":[115,218],"response,":[116],"method":[119],"latest":[125],"duplicate.":[131],"On":[132],"contrary,":[134],"SLRProp":[135],"proposed":[138],"variant":[141],"case,":[142],"where":[143],"relevances":[145,169,193,210,226],"previous":[148,186],"FC":[149,176,187],"layer's":[150],"were":[152],"weighed":[153],"sum":[156],"products":[159],"each":[161],"neurons'":[164],"absolute":[165],"values":[166],"neurons":[172,183],"from":[173,184],"last":[175],"layer":[177,195],"that":[178],"connected":[180],"with":[181],"layer.":[188],"Thus,":[189],"relationship":[191],"across":[194],"was":[196],"considered.":[197],"Experiments":[198],"carried":[201],"out":[202],"well-known":[204],"architectures":[205],"conclude":[207],"whether":[208],"throughout":[211],"less":[214],"network":[222],"than":[223],"independent":[225],"intra-layer.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2023-03-03T00:00:00"}
