{"id":"https://openalex.org/W2897392914","doi":"https://doi.org/10.1109/ijcnn.2018.8489276","title":"Reducing the Computation Load of Convolutional Neural Networks through Gate Classification","display_name":"Reducing the Computation Load of Convolutional Neural Networks through Gate Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897392914","doi":"https://doi.org/10.1109/ijcnn.2018.8489276","mag":"2897392914"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5027716492","display_name":"Simone Disabato","orcid":"https://orcid.org/0000-0001-5991-2651"},"institutions":[{"id":"https://openalex.org/I4210142020","display_name":"Consorzio di Bioingegneria e Informatica Medica","ror":"https://ror.org/044w95594","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210142020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Disabato","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Italy","institution_ids":["https://openalex.org/I4210142020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I4210142020","display_name":"Consorzio di Bioingegneria e Informatica Medica","ror":"https://ror.org/044w95594","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210142020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Italy","institution_ids":["https://openalex.org/I4210142020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142020"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"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/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8249973654747009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797113299369812},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6486949920654297},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5940559506416321},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5936097502708435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382061004638672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4688217341899872},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4540863037109375},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4415563642978668},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4248335063457489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4053172469139099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3940718173980713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34959930181503296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17863410711288452},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07923552393913269},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07385271787643433}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8249973654747009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797113299369812},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6486949920654297},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5940559506416321},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5936097502708435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382061004638672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4688217341899872},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4540863037109375},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4415563642978668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4248335063457489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4053172469139099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3940718173980713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34959930181503296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17863410711288452},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07923552393913269},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07385271787643433},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1169419","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1169419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W77200240","https://openalex.org/W1026270304","https://openalex.org/W1498436455","https://openalex.org/W1533861849","https://openalex.org/W1598866093","https://openalex.org/W1618905105","https://openalex.org/W1667652561","https://openalex.org/W1968422655","https://openalex.org/W1990911977","https://openalex.org/W1996901117","https://openalex.org/W1998399571","https://openalex.org/W2009276230","https://openalex.org/W2094756095","https://openalex.org/W2098318252","https://openalex.org/W2112796928","https://openalex.org/W2119144962","https://openalex.org/W2121775913","https://openalex.org/W2156749117","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2334805829","https://openalex.org/W2431931973","https://openalex.org/W2509972717","https://openalex.org/W2604319603","https://openalex.org/W2609848772","https://openalex.org/W2798371872","https://openalex.org/W2950248853","https://openalex.org/W2950621961","https://openalex.org/W2964299589","https://openalex.org/W3118608800","https://openalex.org/W4251663505","https://openalex.org/W4302296459","https://openalex.org/W6626481562","https://openalex.org/W6631943919","https://openalex.org/W6635810480","https://openalex.org/W6636501900","https://openalex.org/W6637151318","https://openalex.org/W6649495467","https://openalex.org/W6677580257","https://openalex.org/W6682764186","https://openalex.org/W6684191040","https://openalex.org/W6684563725","https://openalex.org/W6717836443","https://openalex.org/W6780493881","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2183638083","https://openalex.org/W2119138398","https://openalex.org/W2598979711","https://openalex.org/W2037384153","https://openalex.org/W2306351532","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305"],"abstract_inverted_index":{"Reducing":[0],"the":[1,44,50,62,72,76,89,96,99,110,126,132,135,139,144,148,159,162],"computational":[2],"load":[3],"of":[4,10,55,59,64,98,112,161],"Convolutional":[5],"Neural":[6],"Networks":[7],"(CNNs)":[8],"is":[9,61,91],"utmost":[11],"importance":[12],"to":[13,69,114,130,138],"allow":[14,68,129],"their":[15],"execution":[16],"in":[17,43,124],"computing":[18],"systems":[19,31],"characterized":[20,117],"by":[21,118,143],"constraints":[22],"on":[23,109,155],"computation":[24],"and":[25,29,32,79,121,147],"energy":[26],"(e.g.,":[27],"embedded":[28],"cyber-physical":[30],"Internet-of-Things).":[33],"To":[34],"address":[35],"this":[36,47,56],"problem,":[37],"which":[38],"has":[39],"been":[40],"rarely":[41],"addressed":[42],"related":[45],"literature,":[46],"paper":[48],"introduces":[49],"Gate-Classification":[51,65,106,127],"CNNs.":[52],"The":[53,105],"core":[54],"novel":[57],"family":[58],"CNNs":[60,107,113],"presence":[63],"layers":[66,78,128],"that":[67],"incrementally":[70],"process":[71,115],"input":[73,145],"image":[74,146],"through":[75],"CNN":[77,101,136],"take":[80],"a":[81],"decision":[82],"as":[83,85],"soon":[84],"\u201cenough":[86],"confidence\u201d":[87],"about":[88],"classification":[90],"gained,":[92],"hence":[93],"not":[94,103],"requiring":[95],"processing":[97],"whole":[100],"when":[102],"needed.":[104],"rely":[108],"ability":[111],"features":[116],"increasing":[119],"complexity":[120],"meaning":[122],"and,":[123],"particular,":[125],"select":[131],"path":[133],"within":[134],"according":[137],"information":[140],"content":[141],"provided":[142],"processed":[149],"features.":[150],"A":[151],"wide":[152],"experimental":[153],"campaign":[154],"public-available":[156],"datasets":[157],"supports":[158],"effectiveness":[160],"proposed":[163],"solution.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}