{"id":"https://openalex.org/W4391093092","doi":"https://doi.org/10.1109/bigdata59044.2023.10386394","title":"Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD","display_name":"Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391093092","doi":"https://doi.org/10.1109/bigdata59044.2023.10386394"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386394","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5054740259","display_name":"Javier Sanch\u00eds","orcid":"https://orcid.org/0000-0002-0118-8127"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Sanchis","raw_affiliation_strings":["University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005182198","display_name":"Miguel A. Teruel","orcid":"https://orcid.org/0000-0003-0102-6918"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel A. Teruel","raw_affiliation_strings":["University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087667090","display_name":"Juan Trujillo","orcid":"https://orcid.org/0000-0003-0139-6724"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Trujillo","raw_affiliation_strings":["University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alicante,Lucentia Research Group,Sant Vicent del Raspeig,Spain","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"Lucentia Research Group, University of Alicante, Sant Vicent del Raspeig, Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130194489"],"apc_list":null,"apc_paid":null,"fwci":0.4109,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61644034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2719","last_page":"2725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10537","display_name":"Attention Deficit Hyperactivity Disorder","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8696775436401367},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7221609354019165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537303328514099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5870683193206787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5823685526847839},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5577382445335388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5229740142822266},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26333087682724},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.17631924152374268}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8696775436401367},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7221609354019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537303328514099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5870683193206787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5823685526847839},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5577382445335388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5229740142822266},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26333087682724},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17631924152374268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386394","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321864","display_name":"Generalitat Valenciana","ror":"https://ror.org/0097mvx21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2111460811","https://openalex.org/W2128495200","https://openalex.org/W2559463885","https://openalex.org/W2942270306","https://openalex.org/W2963285578","https://openalex.org/W2993006640","https://openalex.org/W2994679271","https://openalex.org/W2995394700","https://openalex.org/W3015057159","https://openalex.org/W3102455230","https://openalex.org/W3117098779","https://openalex.org/W4210625202","https://openalex.org/W6685562342"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W4285827128","https://openalex.org/W3198113463","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W98577079","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0,104],"order":[1],"to":[2,43,63,115,160,175,185],"implement":[3],"an":[4],"automatic-computer-aided":[5],"system":[6],"for":[7],"the":[8,11,31,45,65,69,76,92,124,138,143,151,178],"diagnosis":[9],"of":[10,96,102,140,145,153,164,169],"Attention-Deficit":[12],"Hyperactivity":[13],"Disorder":[14],"(ADHD),":[15],"a":[16,53,72,99,107,167],"Deep":[17],"Learning":[18],"Multihead":[19],"Convolutional":[20],"Based":[21],"model":[22,33,46,70],"(EEG-MHCNet)":[23],"was":[24],"developed":[25],"in":[26,123],"previous":[27],"work.":[28],"To":[29,79],"obtain":[30],"best":[32],"performance,":[34],"five":[35],"hyperparameters":[36],"were":[37,57],"studied.":[38],"This":[39],"procedure":[40,111],"led":[41],"us":[42,174],"train":[44],"with":[47,166],"all":[48],"hyperparameter":[49,118],"combination":[50],"values.":[51],"As":[52],"result,":[54],"1920":[55,159],"executions":[56,154],"performed":[58],"and":[59,142],"took":[60],"15.5":[61,183],"days":[62,184],"complete":[64],"training":[66,146,180],"process.":[67],"Finally,":[68],"obtained":[71],"better":[73],"f1-score":[74],"than":[75],"state-of-art":[77],"ones.":[78],"improve":[80],"these":[81],"results,":[82],"more":[83],"values":[84,119,132],"should":[85],"be":[86,134,156],"tested.":[87],"The":[88],"main":[89],"problem":[90],"is":[91],"high":[93],"computational":[94,179],"cost":[95,181],"executing":[97],"such":[98],"considerable":[100],"number":[101,139,152],"combinations.":[103],"this":[105,129],"paper,":[106],"null":[108],"hypothesis":[109],"testing":[110],"has":[112],"been":[113],"applied":[114],"find":[116],"which":[117],"have":[120],"statistical":[121],"confidence":[122,170],"model\u2019s":[125],"performance.":[126],"By":[127],"doing":[128],"procedure,":[130],"some":[131],"could":[133],"discarded":[135],"thus":[136,172],"reducing":[137],"combinations":[141],"execution":[144],"time.":[147],"Results":[148],"show":[149],"that":[150],"can":[155],"reduced":[157],"from":[158,182],"320":[161],"without":[162],"loss":[163],"performance":[165],"95%":[168],"level,":[171],"enabling":[173],"considerably":[176],"reduce":[177],"1.3":[186],"days.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
