{"id":"https://openalex.org/W4411624666","doi":"https://doi.org/10.1145/3703323.3703709","title":"Multi Task Learning for Predicting Music Video Clip and Participant Identification from Brain Responses","display_name":"Multi Task Learning for Predicting Music Video Clip and Participant Identification from Brain Responses","publication_year":2024,"publication_date":"2024-12-18","ids":{"openalex":"https://openalex.org/W4411624666","doi":"https://doi.org/10.1145/3703323.3703709"},"language":"en","primary_location":{"id":"doi:10.1145/3703323.3703709","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703323.3703709","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3703323.3703709","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jhanvi H Mehta","orcid":"https://orcid.org/0009-0001-9031-8164"},"institutions":[{"id":"https://openalex.org/I4210100893","display_name":"Indian Institute of Information Technology Vadodara","ror":"https://ror.org/0163rt176","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210100893"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jhanvi H Mehta","raw_affiliation_strings":["Indian Institute of Information Technology Vadodara, Gandhinagar, INDIA"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Vadodara, Gandhinagar, INDIA","institution_ids":["https://openalex.org/I4210100893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104577191","display_name":"Muskan Priyadarshani","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Muskan Priyadarshani","raw_affiliation_strings":["Indian Institute of Technology Gandhinagar, Gandhinagar, INDIA"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Gandhinagar, Gandhinagar, INDIA","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777457","display_name":"Aditi Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditi Jha","raw_affiliation_strings":["Indian Institute of Technology, Gandhinagar, Gandhinagar, INDIA"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Gandhinagar, Gandhinagar, INDIA","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049413065","display_name":"Krishna Prasad Miyapuram","orcid":"https://orcid.org/0000-0001-5779-2342"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna P Miyapuram","raw_affiliation_strings":["Indian Institute of Technology,Gandhinagar,India, Gandhinagar, INDIA"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Gandhinagar,India, Gandhinagar, INDIA","institution_ids":["https://openalex.org/I27674431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210100893"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3315321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9962999820709229,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.7276811003684998},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6980655789375305},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6628433465957642},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4558107554912567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42183417081832886},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33034586906433105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32041436433792114},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0753699541091919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276811003684998},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6980655789375305},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6628433465957642},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4558107554912567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42183417081832886},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33034586906433105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32041436433792114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0753699541091919},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3703323.3703709","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703323.3703709","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3703323.3703709","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703323.3703709","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2081420711","https://openalex.org/W2162888803","https://openalex.org/W2800137521","https://openalex.org/W2977332111","https://openalex.org/W4281995305","https://openalex.org/W4292893847","https://openalex.org/W4309352836","https://openalex.org/W4378834674"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2961085424","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"We":[0],"designed":[1],"a":[2,87],"CNN-based":[3],"Multi-task":[4],"(MTL)":[5],"classification":[6],"model":[7],"to":[8,18],"predict":[9],"music-video":[10],"clips":[11,38],"and":[12,37,67],"identify":[13],"participants":[14,32],"from":[15,22],"EEG":[16],"responses":[17],"affective":[19],"audio-visual":[20],"stimuli":[21],"the":[23,27],"DEAP":[24],"dataset.":[25],"Leveraging":[26],"capabilities":[28],"of":[29],"MTL":[30,75],"models,":[31],"are":[33,39],"identified":[34],"more":[35],"accurately":[36],"predicted":[40],"better":[41],"than":[42],"single-task":[43],"techniques.":[44],"Variable":[45],"train-test":[46],"splits":[47],"do":[48],"not":[49],"affect":[50],"participant":[51],"prediction":[52,59],"task":[53,69],"but":[54],"show":[55,73],"depreciation":[56],"in":[57],"clip":[58],"accuracy.":[60],"It":[61],"is":[62],"true":[63],"for":[64],"both":[65],"multi-task":[66],"singular":[68],"models.":[70],"These":[71],"findings":[72],"that":[74],"models":[76],"may":[77],"capture":[78],"complex":[79],"brain":[80],"patterns":[81],"with":[82],"improved":[83],"accuracy,":[84],"making":[85],"it":[86],"reliable":[88],"EEG-based":[89],"categorization":[90],"solution.":[91]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}