{"id":"https://openalex.org/W4286277926","doi":"https://doi.org/10.1109/ist55454.2022.9827732","title":"Transformer-CNN Automatic Hyperparameter Tuning for Speech Emotion Recognition","display_name":"Transformer-CNN Automatic Hyperparameter Tuning for Speech Emotion Recognition","publication_year":2022,"publication_date":"2022-06-21","ids":{"openalex":"https://openalex.org/W4286277926","doi":"https://doi.org/10.1109/ist55454.2022.9827732"},"language":"en","primary_location":{"id":"doi:10.1109/ist55454.2022.9827732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist55454.2022.9827732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://utpedia.utp.edu.my/21851/1/2016%20-%20%20ELECTRICAL%20-%20MOOD%20STATES%20ON%20WORKING%20MEMORY%20AND%20BRAIN%20HAEMODYNAMIC%20RESPONSE%20USING%20OPTICAL%20TOPOGRAPHY%20MODALITY-FENG%20YING%20XING-MASTER%20OF%20SCIENCE.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067473620","display_name":"Agustinus Bimo Gumelar","orcid":"https://orcid.org/0000-0003-4977-4800"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agustinus Bimo Gumelar","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025462117","display_name":"Derry Pramono Adi","orcid":"https://orcid.org/0000-0002-3357-5981"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Derry Pramono Adi","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015163010","display_name":"Rudi Setiawan","orcid":"https://orcid.org/0000-0003-4023-9027"},"institutions":[{"id":"https://openalex.org/I16413167","display_name":"University of Surabaya","ror":"https://ror.org/013314927","country_code":"ID","type":"education","lineage":["https://openalex.org/I16413167"]},{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]},{"id":"https://openalex.org/I4210158289","display_name":"Universitas 45 Surabaya","ror":"https://ror.org/04xmkh626","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210158289"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rudi Setiawan","raw_affiliation_strings":["UIN Surabaya,Dept. of Computer Science,Surabaya,Indonesia","Dept. of Computer Science, UIN Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UIN Surabaya,Dept. of Computer Science,Surabaya,Indonesia","institution_ids":["https://openalex.org/I16413167","https://openalex.org/I23758234","https://openalex.org/I4210158289"]},{"raw_affiliation_string":"Dept. of Computer Science, UIN Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I23758234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025810885","display_name":"Indar Sugiarto","orcid":"https://orcid.org/0000-0002-2305-0102"},"institutions":[{"id":"https://openalex.org/I114202661","display_name":"Petra Christian University","ror":"https://ror.org/045e97x26","country_code":"ID","type":"education","lineage":["https://openalex.org/I114202661"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Indar Sugiarto","raw_affiliation_strings":["Petra Christian University,Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Petra Christian University, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petra Christian University,Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I114202661"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Petra Christian University, Surabaya, Indonesia","institution_ids":["https://openalex.org/I114202661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember, and University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, and University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember, and University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Dept. of Computer Engineering, The Faculty of Intelligent Electrical and Informatics Technology (F-ELECTICS), Institut Teknologi Sepuluh Nopember, and University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4497,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83313852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hyperparameter","display_name":"Hyperparameter","score":0.9123179912567139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424899339675903},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6512898802757263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.645038902759552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5479918718338013},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5190685391426086},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4723663926124573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46361881494522095},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4497402608394623},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.42032676935195923},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.41466087102890015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3971775770187378},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2087474763393402},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19396072626113892}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9123179912567139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424899339675903},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6512898802757263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645038902759552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5479918718338013},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5190685391426086},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4723663926124573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46361881494522095},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4497402608394623},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.42032676935195923},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.41466087102890015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3971775770187378},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2087474763393402},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19396072626113892},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ist55454.2022.9827732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist55454.2022.9827732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},{"id":"pmh:oai:generic.eprints.org:21851","is_oa":true,"landing_page_url":"http://funes.uniandes.edu.co/21851/1/Trigueros1996Dise%C3%B1o.pdf","pdf_url":"http://utpedia.utp.edu.my/21851/1/2016%20-%20%20ELECTRICAL%20-%20MOOD%20STATES%20ON%20WORKING%20MEMORY%20AND%20BRAIN%20HAEMODYNAMIC%20RESPONSE%20USING%20OPTICAL%20TOPOGRAPHY%20MODALITY-FENG%20YING%20XING-MASTER%20OF%20SCIENCE.pdf","source":{"id":"https://openalex.org/S4306400250","display_name":"Scientific Repository (Petra Christian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114202661","host_organization_name":"Petra Christian University","host_organization_lineage":["https://openalex.org/I114202661"],"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":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:generic.eprints.org:21851","is_oa":true,"landing_page_url":"http://funes.uniandes.edu.co/21851/1/Trigueros1996Dise%C3%B1o.pdf","pdf_url":"http://utpedia.utp.edu.my/21851/1/2016%20-%20%20ELECTRICAL%20-%20MOOD%20STATES%20ON%20WORKING%20MEMORY%20AND%20BRAIN%20HAEMODYNAMIC%20RESPONSE%20USING%20OPTICAL%20TOPOGRAPHY%20MODALITY-FENG%20YING%20XING-MASTER%20OF%20SCIENCE.pdf","source":{"id":"https://openalex.org/S4306400250","display_name":"Scientific Repository (Petra Christian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114202661","host_organization_name":"Petra Christian University","host_organization_lineage":["https://openalex.org/I114202661"],"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":"Conference or Workshop Item"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286277926.pdf","grobid_xml":"https://content.openalex.org/works/W4286277926.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W43957075","https://openalex.org/W1978999612","https://openalex.org/W2003837801","https://openalex.org/W2020702014","https://openalex.org/W2080576537","https://openalex.org/W2149628368","https://openalex.org/W2791506524","https://openalex.org/W2803193013","https://openalex.org/W2972498864","https://openalex.org/W3045004532","https://openalex.org/W3134267336","https://openalex.org/W3143859264","https://openalex.org/W3160016036","https://openalex.org/W3161428216","https://openalex.org/W3170774791","https://openalex.org/W3196974791","https://openalex.org/W3198220993","https://openalex.org/W3214472866","https://openalex.org/W4214883111","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6791283100"],"related_works":["https://openalex.org/W4313347142","https://openalex.org/W3099765033","https://openalex.org/W2200000192","https://openalex.org/W4210794429","https://openalex.org/W4291365775","https://openalex.org/W2405673391","https://openalex.org/W4295309597","https://openalex.org/W4283697347","https://openalex.org/W4298144215","https://openalex.org/W4295079380"],"abstract_inverted_index":{"Given":[0],"the":[1,33,56,78,94,101,109,131,186],"high":[2],"number":[3],"of":[4,115,167,191,203],"hyperparameters":[5,28,166],"in":[6,20,104,154],"deep":[7,17,66],"learning":[8,18,25,67,177],"models,":[9],"there":[10],"is":[11],"a":[12,37,44,113],"need":[13],"to":[14,99,163],"tune":[15],"automatically":[16,197],"models":[19,26],"specific":[21],"research":[22,62],"cases.":[23],"Deep":[24],"require":[27],"because":[29],"they":[30],"substantially":[31],"influence":[32],"model's":[34],"behavior.":[35],"As":[36],"result,":[38],"optimizing":[39],"any":[40],"given":[41],"model":[42,50],"with":[43,160],"hyperparameter":[45,151],"optimization":[46],"technique":[47,98],"will":[48],"improve":[49],"efficiency":[51],"significantly.":[52],"This":[53],"paper":[54],"discusses":[55],"hyperparameter-optimized":[57],"Speech":[58],"Emotion":[59],"Recognition":[60],"(SER)":[61],"case":[63],"using":[64,77],"Transformer-CNN":[65,144,168,199],"model.":[68],"Each":[69],"speech":[70,84,118,139],"samples":[71,85,87,119,121],"are":[72],"transformed":[73],"into":[74],"spectrogram":[75],"data":[76,189],"RAVDESS":[79,110],"dataset,":[80],"which":[81],"contains":[82],"1,536":[83],"(192":[86],"per":[88,122],"eight":[89,123],"emotion":[90,124],"classes).":[91,125],"We":[92,158],"use":[93],"Gaussian":[95],"Noise":[96],"augmentation":[97],"reduce":[100],"overfitting":[102],"problem":[103],"training":[105,192],"data.":[106],"After":[107],"augmentation,":[108],"dataset":[111],"yields":[112],"total":[114],"2,400":[116],"emotional":[117],"(300":[120],"For":[126],"SER":[127],"model,":[128],"we":[129],"combine":[130],"Transformer":[132],"and":[133,137,193],"CNN":[134],"for":[135],"temporal":[136],"spatial":[138],"feature":[140],"processing.":[141],"However,":[142],"our":[143,196],"must":[145],"be":[146,171],"thoroughly":[147],"tested,":[148],"as":[149,176],"different":[150],"settings":[152],"result":[153],"varying":[155],"accuracy":[156],"performance.":[157],"experiment":[159],"Naive":[161],"Bayes":[162],"optimize":[164],"many":[165],"(it":[169],"could":[170],"categorical":[172],"or":[173],"numerical),":[174],"such":[175],"rate,":[178],"dropouts,":[179],"activation":[180],"function,":[181],"weight":[182],"initialization,":[183],"epoch,":[184],"even":[185],"best":[187],"split":[188],"scale":[190],"testing.":[194],"Consequently,":[195],"tuned":[198],"achieves":[200],"97.3":[201],"%":[202],"accuracy.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}