{"id":"https://openalex.org/W2900696345","doi":"https://doi.org/10.1109/taffc.2020.2982143","title":"Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition","display_name":"Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W2900696345","doi":"https://doi.org/10.1109/taffc.2020.2982143","mag":"2900696345"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2020.2982143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2020.2982143","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.07516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072490031","display_name":"Rahma Fourati","orcid":"https://orcid.org/0000-0001-8783-6895"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rahma Fourati","raw_affiliation_strings":["Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: rahma.fourati@ieee.org)]"],"raw_orcid":"https://orcid.org/0000-0001-8783-6895","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: rahma.fourati@ieee.org)]","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042162788","display_name":"Boudour Ammar","orcid":"https://orcid.org/0000-0002-4934-1573"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Boudour Ammar","raw_affiliation_strings":["Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: boudour.ammar@ieee.org)]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: boudour.ammar@ieee.org)]","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020491055","display_name":"Javier Medina","orcid":"https://orcid.org/0000-0003-2530-3182"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Sanchez-Medina","raw_affiliation_strings":["Innovation Center for the Information Society, University of Las Palmas de Gran Canaria, Las Palmas, Spain","[Innovation Center for the Information Society, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain (e-mail: javier.sanchez.medina@ieee.org)]"],"raw_orcid":"https://orcid.org/0000-0003-2530-3182","affiliations":[{"raw_affiliation_string":"Innovation Center for the Information Society, University of Las Palmas de Gran Canaria, Las Palmas, Spain","institution_ids":["https://openalex.org/I119635470"]},{"raw_affiliation_string":"[Innovation Center for the Information Society, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain (e-mail: javier.sanchez.medina@ieee.org)]","institution_ids":["https://openalex.org/I119635470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: adel.alimi@ieee.org)]"],"raw_orcid":"https://orcid.org/0000-0002-0642-3384","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, Research Groups in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"[Research Groups in Intelligent Machines, Department of Computer Engineering and Applied Mathematics, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia (e-mail: adel.alimi@ieee.org)]","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6702,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75890103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"2","first_page":"972","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998000264167786,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9991000294685364,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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/electroencephalography","display_name":"Electroencephalography","score":0.7053420543670654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6938832998275757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6536359786987305},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5801822543144226},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5428634881973267},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.5420876145362854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5140589475631714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4789769649505615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4685574173927307},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36804696917533875},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3426697254180908},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19540375471115112},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09070849418640137}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7053420543670654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938832998275757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6536359786987305},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5801822543144226},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5428634881973267},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.5420876145362854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5140589475631714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4789769649505615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4685574173927307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36804696917533875},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3426697254180908},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19540375471115112},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09070849418640137},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/taffc.2020.2982143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2020.2982143","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.07516","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.07516","pdf_url":"https://arxiv.org/pdf/1811.07516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"mag:2900696345","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1811.07516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:accedacris.ulpgc.es:10553/73270","is_oa":false,"landing_page_url":"http://hdl.handle.net/10553/73270","pdf_url":null,"source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Affective Computing [EISSN 1949-3045], v. 13(2), p. 972-984 (2022)","raw_type":"info:eu-repo/semantics/Article"},{"id":"doi:10.48550/arxiv.1811.07516","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.07516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.07516","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.07516","pdf_url":"https://arxiv.org/pdf/1811.07516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900696345.pdf","grobid_xml":"https://content.openalex.org/works/W2900696345.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W161860882","https://openalex.org/W168225553","https://openalex.org/W1468910552","https://openalex.org/W1514274094","https://openalex.org/W1520861770","https://openalex.org/W1556929283","https://openalex.org/W1947251450","https://openalex.org/W1987299193","https://openalex.org/W2002055708","https://openalex.org/W2013893809","https://openalex.org/W2030145020","https://openalex.org/W2036571384","https://openalex.org/W2038610431","https://openalex.org/W2038625427","https://openalex.org/W2043181832","https://openalex.org/W2059148040","https://openalex.org/W2122098299","https://openalex.org/W2134892478","https://openalex.org/W2149628368","https://openalex.org/W2150355110","https://openalex.org/W2159330547","https://openalex.org/W2171865010","https://openalex.org/W2176091123","https://openalex.org/W2242781314","https://openalex.org/W2278113816","https://openalex.org/W2426352589","https://openalex.org/W2432567885","https://openalex.org/W2442313820","https://openalex.org/W2536619369","https://openalex.org/W2545857823","https://openalex.org/W2551708216","https://openalex.org/W2584561145","https://openalex.org/W2585008544","https://openalex.org/W2598673810","https://openalex.org/W2599124244","https://openalex.org/W2611174197","https://openalex.org/W2749183303","https://openalex.org/W2765257023","https://openalex.org/W2765355882","https://openalex.org/W2765362197","https://openalex.org/W2765856398","https://openalex.org/W2766615657","https://openalex.org/W2790404832","https://openalex.org/W2792873414","https://openalex.org/W2800276980","https://openalex.org/W2806925798","https://openalex.org/W2885194508","https://openalex.org/W2885934369","https://openalex.org/W2907371384","https://openalex.org/W2908578648","https://openalex.org/W2911336608","https://openalex.org/W2911437338","https://openalex.org/W2913846632","https://openalex.org/W2936345093","https://openalex.org/W2944401411","https://openalex.org/W2950162539","https://openalex.org/W2952286992","https://openalex.org/W2962905870","https://openalex.org/W2981372722","https://openalex.org/W4232220759","https://openalex.org/W4251813598","https://openalex.org/W6606817881","https://openalex.org/W6637937289","https://openalex.org/W6693046712"],"related_works":["https://openalex.org/W2765355882","https://openalex.org/W309021307","https://openalex.org/W3091323123","https://openalex.org/W2982126608","https://openalex.org/W3175707965","https://openalex.org/W2993348073","https://openalex.org/W3013865164","https://openalex.org/W3108087271","https://openalex.org/W2289022717","https://openalex.org/W3081599307","https://openalex.org/W3090343537","https://openalex.org/W3128566578","https://openalex.org/W3010188900","https://openalex.org/W3131976674","https://openalex.org/W2044170013","https://openalex.org/W2911632638","https://openalex.org/W2964747519","https://openalex.org/W3006673474","https://openalex.org/W2986273262","https://openalex.org/W3000232078"],"abstract_inverted_index":{"In":[0,25],"real-world":[1],"applications":[2],"such":[3,140],"as":[4,78,141],"emotion":[5],"recognition":[6],"from":[7,14,70],"recorded":[8],"brain":[9],"activity,":[10],"data":[11],"are":[12],"captured":[13],"electrodes":[15],"over":[16],"time.":[17],"These":[18],"signals":[19,77],"constitute":[20],"a":[21,32,130],"multidimensional":[22],"time":[23,40,60],"series.":[24,61],"this":[26],"article,":[27],"Echo":[28],"State":[29],"Network":[30],"(ESN),":[31],"recurrent":[33],"neural":[34,49],"network":[35,64,80,127],"with":[36,47,107,120],"great":[37],"success":[38],"in":[39],"series":[41],"prediction":[42],"and":[43,82,98,115,133,145],"classification,":[44],"is":[45],"optimized":[46],"different":[48],"plasticity":[50,109],"rules":[51],"for":[52],"classification":[53],"of":[54,104],"emotions":[55],"based":[56],"on":[57,91],"electroencephalogram":[58],"(EEG)":[59],"The":[62],"developed":[63],"could":[65],"automatically":[66],"extract":[67],"valid":[68],"features":[69],"EEG":[71],"signals.":[72],"We":[73],"use":[74],"the":[75,79,95,99,102,105,112,125,138],"filtered":[76],"input":[81],"do":[83],"not":[84],"take":[85],"any":[86],"feature":[87],"extraction":[88],"methods.":[89,123],"Evaluated":[90],"two":[92],"well-known":[93],"benchmarks,":[94],"DEAP":[96],"dataset,":[97,101],"SEED":[100],"performance":[103],"ESN":[106],"intrinsic":[108],"greatly":[110],"outperforms":[111],"feature-based":[113],"methods":[114],"shows":[116],"certain":[117],"advantages":[118,139],"compared":[119],"other":[121],"existing":[122],"Thus,":[124],"proposed":[126],"can":[128],"form":[129],"more":[131,146],"complete":[132],"efficient":[134],"representation,":[135],"whilst":[136],"retaining":[137],"faster":[142],"learning":[143],"speed":[144],"reliable":[147],"performance.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}