{"id":"https://openalex.org/W4286493993","doi":"https://doi.org/10.1142/s0129065722500496","title":"Reward-Penalty Weighted Ensemble for Emotion State Classification from Multi-Modal Data Streams","display_name":"Reward-Penalty Weighted Ensemble for Emotion State Classification from Multi-Modal Data Streams","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286493993","doi":"https://doi.org/10.1142/s0129065722500496","pmid":"https://pubmed.ncbi.nlm.nih.gov/36129779"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065722500496","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065722500496","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2117/374066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024596909","display_name":"Arijit Nandi","orcid":"https://orcid.org/0000-0003-4238-5183"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Arijit Nandi","raw_affiliation_strings":["Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain","Universitat Polit\u00e8cnica de Catalunya (BarcelonaTech), 08034 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]},{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Catalunya (BarcelonaTech), 08034 Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007964745","display_name":"Fatos Xhafa","orcid":"https://orcid.org/0000-0001-6569-5497"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Fatos Xhafa","raw_affiliation_strings":["Universitat Polit\u00e8cnica de Catalunya (BarcelonaTech), 08034 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Catalunya (BarcelonaTech), 08034 Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042895080","display_name":"Laia Subirats","orcid":"https://orcid.org/0000-0001-8646-5463"},"institutions":[{"id":"https://openalex.org/I138847295","display_name":"Universitat Oberta de Catalunya","ror":"https://ror.org/01f5wp925","country_code":"ES","type":"education","lineage":["https://openalex.org/I138847295"]},{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laia Subirats","raw_affiliation_strings":["ADaS Lab, Universitat Oberta de Catalunya, 08018 Barcelona, Spain","Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADaS Lab, Universitat Oberta de Catalunya, 08018 Barcelona, Spain","institution_ids":["https://openalex.org/I138847295"]},{"raw_affiliation_string":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011868243","display_name":"Santi Fort","orcid":"https://orcid.org/0000-0003-2189-6830"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Santi Fort","raw_affiliation_strings":["Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, 08005 Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007964745"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":1.8034,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87259247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"32","issue":"12","first_page":"2250049","last_page":"2250049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9783999919891357,"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/modal","display_name":"Modal","score":0.7689180970191956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672054767608643},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6793195605278015},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.601992130279541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5376507043838501},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5162525177001953},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5151830911636353},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.48792120814323425},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.46639296412467957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4535348415374756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4338519275188446},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4232906401157379},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4158506691455841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3848927319049835}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7689180970191956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672054767608643},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6793195605278015},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.601992130279541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5376507043838501},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5162525177001953},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5151830911636353},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.48792120814323425},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.46639296412467957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4535348415374756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4338519275188446},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4232906401157379},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4158506691455841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3848927319049835},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1142/s0129065722500496","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065722500496","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:36129779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36129779","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of neural systems","raw_type":null},{"id":"pmh:oai:upcommons.upc.edu:2117/374066","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/374066","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/374066","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/374066","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1542601440","https://openalex.org/W1565008244","https://openalex.org/W1584850214","https://openalex.org/W1847847467","https://openalex.org/W2002055708","https://openalex.org/W2023736093","https://openalex.org/W2029694740","https://openalex.org/W2075953807","https://openalex.org/W2078833921","https://openalex.org/W2081895431","https://openalex.org/W2115677675","https://openalex.org/W2123768626","https://openalex.org/W2171665783","https://openalex.org/W2520384474","https://openalex.org/W2565944610","https://openalex.org/W2585528949","https://openalex.org/W2731964405","https://openalex.org/W2748454491","https://openalex.org/W2786768213","https://openalex.org/W2793185901","https://openalex.org/W2901027086","https://openalex.org/W2997026866","https://openalex.org/W2998334740","https://openalex.org/W2999294457","https://openalex.org/W3003908700","https://openalex.org/W3031824592","https://openalex.org/W3080108059","https://openalex.org/W3081599307","https://openalex.org/W3120929420","https://openalex.org/W3126571533","https://openalex.org/W3130068643","https://openalex.org/W4212774754","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W127192698","https://openalex.org/W2743735673","https://openalex.org/W2570600173","https://openalex.org/W2794896638","https://openalex.org/W2893008024","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W4361801939"],"abstract_inverted_index":{"Researchers":[0],"have":[1],"shown":[2],"the":[3,7,23,68,89,92,96,145,148,177,187,199],"limitations":[4],"of":[5,27,53,70,77,91,147,191],"using":[6,45,103,121,132,172],"single-modal":[8],"data":[9,15,47,124,136,174,201],"stream":[10,150],"for":[11,83,116,154],"emotion":[12,29,119,155,194],"classification.":[13],"Multi-modal":[14],"streams":[16,175],"are":[17],"therefore":[18],"deemed":[19],"necessary":[20],"to":[21,40,66],"improve":[22],"accuracy":[24],"and":[25,80,105,139,166,189],"performance":[26,90],"online":[28,32,54,169],"classifiers.":[30],"An":[31],"decision":[33],"ensemble":[34,55,93,170],"is":[35,50,101,129,161],"a":[36,51,60,84,110],"widely":[37,167],"used":[38,168],"approach":[39],"classify":[41],"emotions":[42],"in":[43,75,157,176,193,196],"real-time":[44,117,197],"multi-modal":[46,118,122,173,200],"streams.":[48,125],"There":[49],"plethora":[52],"approaches;":[56],"these":[57],"approaches":[58,171],"use":[59],"fixed":[61],"parameter":[62],"([Formula:":[63],"see":[64,98],"text])":[65],"adjust":[67],"weights":[69],"each":[71],"classifier":[72,151],"(called":[73],"penalty)":[74],"case":[76],"wrong":[78],"classification":[79,120,156,195],"no":[81],"reward":[82],"good":[85],"performing":[86],"classifier.":[87],"Also,":[88],"depends":[94],"on":[95],"[Formula:":[97],"text],":[99],"which":[100],"set":[102],"trial":[104],"error.":[106],"This":[107],"paper":[108],"presents":[109],"new":[111],"Reward-Penalty-based":[112],"Weighted":[113],"Ensemble":[114],"(RPWE)":[115],"physiological":[123],"The":[126,141,159,180],"proposed":[127],"RPWE":[128,153,160,192],"thoroughly":[130],"tested":[131],"two":[133],"prevalent":[134],"benchmark":[135],"sets,":[137],"DEAP":[138],"AMIGOS.":[140],"first":[142],"experiment":[143],"confirms":[144],"impact":[146],"base":[149],"with":[152,163],"real-time.":[158],"compared":[162],"different":[164],"popular":[165],"second":[178],"experiment.":[179],"average":[181],"balanced":[182],"accuracy,":[183],"F1-score":[184],"results":[185],"showed":[186],"usefulness":[188],"robustness":[190],"from":[198],"stream.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
