{"id":"https://openalex.org/W4317600315","doi":"https://doi.org/10.1109/aiccsa56895.2022.10017756","title":"A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments","display_name":"A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4317600315","doi":"https://doi.org/10.1109/aiccsa56895.2022.10017756"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa56895.2022.10017756","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiccsa56895.2022.10017756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},"type":"article","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/A5073186690","display_name":"Faten Khemakhem","orcid":"https://orcid.org/0000-0003-4386-4397"},"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":true,"raw_author_name":"Faten Khemakhem","raw_affiliation_strings":["University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038","Department of Computer Sciences, Faculty of Economics and Management, University of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Department of Computer Sciences, Faculty of Economics and Management, University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065291877","display_name":"Hamdi Ellouzi","orcid":null},"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":"Hamdi Ellouzi","raw_affiliation_strings":["University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038"],"affiliations":[{"raw_affiliation_string":"University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089206286","display_name":"Hela Ltifi","orcid":"https://orcid.org/0000-0003-3953-1135"},"institutions":[{"id":"https://openalex.org/I55167344","display_name":"University of Kairouan","ror":"https://ror.org/024mpte60","country_code":"TN","type":"education","lineage":["https://openalex.org/I55167344"]},{"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":"Hela Ltifi","raw_affiliation_strings":["University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038","Department of Computer Science, Faculty of Sciences and Techniques of Sidi Bouzid, University of Kairouan, Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sfax, National Engineering School of Sfax (ENIS),REsearch Groups in Intelligent Machines,Sfax,Tunisia,3038","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Sciences and Techniques of Sidi Bouzid, University of Kairouan, Tunisia","institution_ids":["https://openalex.org/I55167344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073186690"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.555,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70218801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"8228","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9860000014305115,"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/T11122","display_name":"Online Learning and Analytics","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.7872739434242249},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7153006792068481},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.624996542930603},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6045530438423157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5652612447738647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5391471982002258},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.517512321472168},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5174063444137573},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5030414462089539},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.440855473279953},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33799540996551514},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08506152033805847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872739434242249},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7153006792068481},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.624996542930603},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6045530438423157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5652612447738647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5391471982002258},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.517512321472168},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5174063444137573},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5030414462089539},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.440855473279953},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33799540996551514},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08506152033805847},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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":1,"locations":[{"id":"doi:10.1109/aiccsa56895.2022.10017756","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiccsa56895.2022.10017756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W168311601","https://openalex.org/W1494355659","https://openalex.org/W1705970262","https://openalex.org/W1903127635","https://openalex.org/W2003238582","https://openalex.org/W2041616772","https://openalex.org/W2045528981","https://openalex.org/W2106397771","https://openalex.org/W2132664937","https://openalex.org/W2244142460","https://openalex.org/W2280602912","https://openalex.org/W2407392258","https://openalex.org/W2460586963","https://openalex.org/W2471975440","https://openalex.org/W2504664625","https://openalex.org/W2616755635","https://openalex.org/W2745390445","https://openalex.org/W2754021867","https://openalex.org/W2784257003","https://openalex.org/W2926690412","https://openalex.org/W2975043431","https://openalex.org/W2984609752","https://openalex.org/W2995267623","https://openalex.org/W3011540715","https://openalex.org/W3204024670","https://openalex.org/W4205536455","https://openalex.org/W4205561404","https://openalex.org/W4220844376","https://openalex.org/W6603485677","https://openalex.org/W6684100978"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Automated":[0],"sensing":[1],"of":[2,124],"the":[3,22,30,59,91,119,141,150],"student's":[4],"engagement":[5,93],"in":[6,53,69,95,136],"an":[7,96],"e-learning":[8,97],"system":[9,88,126],"from":[10],"emotional":[11],"expressions":[12,40],"remains":[13],"a":[14,83,105],"challenging":[15],"problem":[16],"due":[17],"to":[18,56,89,117,148],"varying":[19],"conditions":[20],"during":[21],"lecture.":[23],"Such":[24],"recognition":[25,76],"and":[26,33,45,112,145],"detection":[27],"systems":[28],"improve":[29],"teaching":[31],"experience":[32],"efficiency":[34],"by":[35],"providing":[36],"valuable":[37],"feedback.":[38],"Emotional":[39],"are":[41,51,115],"expressed":[42],"through":[43],"non-verbal":[44],"verbal":[46],"human":[47],"emotional/behavior.":[48],"More":[49],"investigations":[50],"needed":[52],"this":[54,79,125],"domain":[55],"carry":[57],"out":[58],"learning":[60,64,109],"process.":[61],"Deep":[62],"multi-task":[63,108],"has":[65],"been":[66],"successfully":[67],"employed":[68],"many":[70],"real-world":[71],"large-scale":[72],"applications":[73],"such":[74],"as":[75],"systems.":[77],"In":[78],"paper,":[80],"we":[81],"propose":[82],"novel":[84],"education":[85],"level":[86,94],"state":[87],"determine":[90],"student":[92],"environment.":[98],"The":[99,122],"proposed":[100],"approach":[101],"is":[102,127],"based":[103],"on":[104,129],"hybrid":[106],"deep":[107],"technique.":[110],"Soft":[111],"hard":[113],"parameters":[114],"fused":[116],"achieve":[118],"best":[120],"prediction.":[121],"performance":[123],"evaluated":[128],"three":[130],"facial":[131],"expression":[132],"benchmark":[133],"datasets":[134],"acquired":[135],"non-controlled":[137],"environments.":[138],"We":[139],"validate":[140],"proposal":[142],"using":[143],"multi-input":[144],"mixed":[146],"data":[147],"meet":[149],"relevant":[151],"challenges.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
