{"id":"https://openalex.org/W4324298702","doi":"https://doi.org/10.1145/3573428.3573788","title":"SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization","display_name":"SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4324298702","doi":"https://doi.org/10.1145/3573428.3573788"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.07153","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026137467","display_name":"Zihao Guo","orcid":"https://orcid.org/0000-0002-4557-0395"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zihao Guo","raw_affiliation_strings":["Ecole Centrale de Nantes, France"],"raw_orcid":"https://orcid.org/0000-0002-4557-0395","affiliations":[{"raw_affiliation_string":"Ecole Centrale de Nantes, France","institution_ids":["https://openalex.org/I100445878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072324065","display_name":"Yueying Cao","orcid":"https://orcid.org/0000-0003-0170-4846"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yueying Cao","raw_affiliation_strings":["Ecole Centrale de Nantes, France"],"raw_orcid":"https://orcid.org/0000-0003-0170-4846","affiliations":[{"raw_affiliation_string":"Ecole Centrale de Nantes, France","institution_ids":["https://openalex.org/I100445878"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5549,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73447051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1932","last_page":"1939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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":0.9987000226974487,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8399988412857056},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8096780776977539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7992804050445557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6781908273696899},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5915653705596924},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5345553159713745},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.533831775188446},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4862441122531891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4641585946083069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44043847918510437},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4361928105354309},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42213958501815796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23778468370437622}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8399988412857056},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8096780776977539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7992804050445557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6781908273696899},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5915653705596924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5345553159713745},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.533831775188446},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4862441122531891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4641585946083069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44043847918510437},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4361928105354309},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42213958501815796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23778468370437622},{"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:10.1145/3573428.3573788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.07153","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07153","pdf_url":"https://arxiv.org/pdf/2303.07153","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:2303.07153","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07153","pdf_url":"https://arxiv.org/pdf/2303.07153","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324298702.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W14214433","https://openalex.org/W1550206324","https://openalex.org/W1629758943","https://openalex.org/W1832693441","https://openalex.org/W1889268436","https://openalex.org/W1982589161","https://openalex.org/W1986697600","https://openalex.org/W2024060531","https://openalex.org/W2043438493","https://openalex.org/W2079737479","https://openalex.org/W2081278763","https://openalex.org/W2097117768","https://openalex.org/W2120615054","https://openalex.org/W2135194391","https://openalex.org/W2141110637","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2217433794","https://openalex.org/W2253093986","https://openalex.org/W2470673105","https://openalex.org/W2740721704","https://openalex.org/W2765349067","https://openalex.org/W2896457183","https://openalex.org/W2900168113","https://openalex.org/W2917458986","https://openalex.org/W2947137917","https://openalex.org/W2962853356","https://openalex.org/W2963921497","https://openalex.org/W2977622975","https://openalex.org/W2978577426","https://openalex.org/W2999209402","https://openalex.org/W3121013024","https://openalex.org/W4251140153","https://openalex.org/W4253643346","https://openalex.org/W4294170691","https://openalex.org/W6600554218","https://openalex.org/W6681060652"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,31,101,110,119],"networks":[2,102,111,120],"(CNNs)":[3],"are":[4],"a":[5],"representative":[6],"class":[7],"of":[8,20,54,76,99],"deep":[9],"learning":[10,33,44],"algorithms":[11],"including":[12],"convolutional":[13,30,56,100],"computation":[14],"that":[15,132],"perform":[16],"translation":[17],"invariant":[18],"classification":[19,114,137],"input":[21],"data":[22],"based":[23,116],"on":[24,117],"their":[25],"hierarchical":[26],"architecture.":[27],"However,":[28],"classical":[29],"network":[32],"methods":[34],"use":[35],"the":[36,43,50,55,74,77,89,97,123,146],"steepest":[37],"descent":[38],"algorithm":[39,80,126],"for":[40,112,127,152],"training,":[41],"and":[42,57,71,121,145,150],"performance":[45,66],"is":[46,158],"greatly":[47],"influenced":[48],"by":[49],"initial":[51],"weight":[52],"settings":[53],"fully":[58],"connected":[59],"layers,":[60],"requiring":[61],"re-tuning":[62],"to":[63,88,95,155],"achieve":[64,135],"better":[65],"under":[67],"different":[68],"model":[69],"structures":[70],"data.":[72],"Combining":[73],"strengths":[75],"simulated":[78,124],"annealing":[79,125],"in":[81,93,148],"global":[82],"search,":[83],"we":[84,107,133],"propose":[85],"applying":[86],"it":[87],"hyperparameter":[90,128],"search":[91],"process":[92],"order":[94],"increase":[96],"effectiveness":[98],"(CNNs).":[103],"In":[104],"this":[105],"paper,":[106],"introduce":[108],"SA-CNN":[109],"text":[113],"tasks":[115],"Text-CNN":[118],"implement":[122],"search.":[129],"Experiments":[130],"demonstrate":[131],"can":[134],"greater":[136],"accuracy":[138],"than":[139],"earlier":[140],"models":[141],"with":[142],"manual":[143],"tuning,":[144],"improvement":[147],"time":[149],"space":[151],"exploration":[153],"relative":[154],"human":[156],"tuning":[157],"substantial.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-03-16T00:00:00"}
