{"id":"https://openalex.org/W4417116182","doi":"https://doi.org/10.1109/icmla66185.2025.00033","title":"Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops","display_name":"Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4417116182","doi":"https://doi.org/10.1109/icmla66185.2025.00033"},"language":"en","primary_location":{"id":"doi:10.1109/icmla66185.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.08802","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120721538","display_name":"S M Rafiuddin","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S M Rafiuddin","raw_affiliation_strings":["Oklahoma State University,Department of Computer Science,Stillwater,Oklahoma,USA"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Department of Computer Science,Stillwater,Oklahoma,USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120721538"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40460126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7544999718666077,"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":0.7544999718666077,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.12970000505447388,"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/T13219","display_name":"Mind wandering and attention","score":0.023099999874830246,"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/robustness","display_name":"Robustness (evolution)","score":0.6704999804496765},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.586899995803833},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4805999994277954},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4618000090122223},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43810001015663147},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4278999865055084},{"id":"https://openalex.org/keywords/feedback-loop","display_name":"Feedback loop","score":0.39579999446868896},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.38420000672340393},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3490000069141388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922999858856201},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6704999804496765},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58160001039505},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4618000090122223},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4278999865055084},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.383899986743927},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.3125},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2973000109195709},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icmla66185.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.08802","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.08802","pdf_url":"https://arxiv.org/pdf/2510.08802","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.08802","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.08802","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.08802","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.08802","pdf_url":"https://arxiv.org/pdf/2510.08802","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"learner":[1],"emotions":[2],"in":[3,17,48,165],"online":[4],"education":[5],"is":[6,44],"critical":[7],"for":[8,67,83,127,163],"improving":[9],"engagement":[10],"and":[11,24,35,64,104,124,131,137,154],"personalized":[12],"instruction.":[13],"While":[14],"prior":[15],"work":[16],"emotion":[18,62],"recognition":[19],"has":[20],"explored":[21],"multimodal":[22],"fusion":[23,33],"temporal":[25,61,116],"modeling,":[26],"existing":[27],"methods":[28],"often":[29],"rely":[30],"on":[31,119],"static":[32],"strategies":[34],"assume":[36],"that":[37,58,93,110],"modality":[38,65,99],"inputs":[39],"are":[40],"consistently":[41],"reliable,":[42],"which":[43],"rarely":[45],"the":[46],"case":[47],"real-world":[49],"learning":[50,167],"environments.":[51],"We":[52],"introduce":[53],"Edu-EmotionNet,":[54],"a":[55,77,88,105],"novel":[56],"framework":[57],"jointly":[59],"models":[60],"evolution":[63],"reliability":[66],"robust":[68],"affect":[69],"recognition.":[70],"Our":[71],"model":[72],"incorporates":[73],"three":[74],"key":[75],"components-":[76],"Cross-Modality":[78],"Attention":[79],"Alignment":[80],"(CMAA)":[81],"module":[82],"dynamic":[84],"cross-modal":[85],"context":[86],"sharing,":[87],"Modality":[89],"Importance":[90],"Estimator":[91],"(MIE)":[92],"assigns":[94],"confidence-based":[95],"weights":[96],"to":[97,114,141,150],"each":[98],"at":[100],"every":[101],"time":[102],"step,":[103],"Temporal":[106],"Feedback":[107],"Loop":[108],"(TFL)":[109],"leverages":[111],"previous":[112],"predictions":[113],"enforce":[115],"consistency.":[117],"Evaluated":[118],"educational":[120],"subsets":[121],"of":[122],"IEMOCAP":[123],"MOSEI,":[125],"re-annotated":[126],"confusion,":[128],"curiosity,":[129],"boredom,":[130],"frustration,":[132],"Edu-EmotionNet":[133],"achieves":[134],"state-of-the-art":[135],"performance":[136],"demonstrates":[138],"strong":[139],"robustness":[140],"missing":[142],"or":[143],"noisy":[144],"modalities.":[145],"Visualizations":[146],"confirm":[147],"its":[148],"ability":[149],"capture":[151],"emotional":[152],"transitions":[153],"adaptively":[155],"prioritize":[156],"reliable":[157],"signals,":[158],"making":[159],"it":[160],"well":[161],"suited":[162],"deployment":[164],"real-time":[166],"systems.":[168]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2025-10-14T00:00:00"}