{"id":"https://openalex.org/W4402483388","doi":"https://doi.org/10.1287/mksc.2022.0323","title":"A Theory-Based Explainable Deep Learning Architecture for Music Emotion","display_name":"A Theory-Based Explainable Deep Learning Architecture for Music Emotion","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4402483388","doi":"https://doi.org/10.1287/mksc.2022.0323"},"language":"en","primary_location":{"id":"doi:10.1287/mksc.2022.0323","is_oa":false,"landing_page_url":"https://doi.org/10.1287/mksc.2022.0323","pdf_url":null,"source":{"id":"https://openalex.org/S163534328","display_name":"Marketing Science","issn_l":"0732-2399","issn":["0732-2399","1526-548X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marketing Science","raw_type":"journal-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/A5052464509","display_name":"Hortense Fong","orcid":"https://orcid.org/0000-0003-0256-7943"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hortense Fong","raw_affiliation_strings":["Marketing, Columbia Business School, New York, New York 10027","Marketing, Columbia Business School, New York, New York 10027;"],"raw_orcid":"https://orcid.org/0000-0003-0256-7943","affiliations":[{"raw_affiliation_string":"Marketing, Columbia Business School, New York, New York 10027","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Marketing, Columbia Business School, New York, New York 10027;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663903","display_name":"Vineet Kumar","orcid":"https://orcid.org/0000-0001-8784-6858"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vineet Kumar","raw_affiliation_strings":["Yale School of Management, New Haven, Connecticut 06511"],"raw_orcid":"https://orcid.org/0000-0001-8784-6858","affiliations":[{"raw_affiliation_string":"Yale School of Management, New Haven, Connecticut 06511","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072447765","display_name":"K. Sudhir","orcid":"https://orcid.org/0000-0001-9398-8887"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Sudhir","raw_affiliation_strings":["Yale School of Management, New Haven, Connecticut 06511"],"raw_orcid":"https://orcid.org/0000-0001-9398-8887","affiliations":[{"raw_affiliation_string":"Yale School of Management, New Haven, Connecticut 06511","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052464509"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.3153,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80702963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"44","issue":"1","first_page":"196","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9936000108718872,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/architecture","display_name":"Architecture","score":0.609230637550354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5120459198951721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4986913204193115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4291718900203705},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.41292381286621094},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3964519500732422},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.1890418529510498},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.15247464179992676}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.609230637550354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5120459198951721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4986913204193115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4291718900203705},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.41292381286621094},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3964519500732422},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.1890418529510498},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.15247464179992676}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1287/mksc.2022.0323","is_oa":false,"landing_page_url":"https://doi.org/10.1287/mksc.2022.0323","pdf_url":null,"source":{"id":"https://openalex.org/S163534328","display_name":"Marketing Science","issn_l":"0732-2399","issn":["0732-2399","1526-548X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marketing Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:inm:ormksc:v:44:y:2025:i:1:p:196-219","is_oa":false,"landing_page_url":"http://doi.org/10.1287/mksc.2022.0323","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W393083667","https://openalex.org/W1521253151","https://openalex.org/W1988351197","https://openalex.org/W2000186419","https://openalex.org/W2008133390","https://openalex.org/W2009192236","https://openalex.org/W2019594119","https://openalex.org/W2027304636","https://openalex.org/W2051972432","https://openalex.org/W2087407704","https://openalex.org/W2093185828","https://openalex.org/W2094106336","https://openalex.org/W2107430826","https://openalex.org/W2110321529","https://openalex.org/W2127236700","https://openalex.org/W2141517887","https://openalex.org/W2145594262","https://openalex.org/W2149628368","https://openalex.org/W2152941631","https://openalex.org/W2160815625","https://openalex.org/W2478051194","https://openalex.org/W2552646986","https://openalex.org/W2564037725","https://openalex.org/W2592535880","https://openalex.org/W2795014578","https://openalex.org/W2924489732","https://openalex.org/W2949758482","https://openalex.org/W3040692926","https://openalex.org/W3092959302","https://openalex.org/W3097654613","https://openalex.org/W3120696728","https://openalex.org/W3122282974","https://openalex.org/W3123375975","https://openalex.org/W3159999383","https://openalex.org/W3161304358","https://openalex.org/W3175897018","https://openalex.org/W3198894140","https://openalex.org/W3206428286","https://openalex.org/W4200381462","https://openalex.org/W4205319896","https://openalex.org/W4224277409","https://openalex.org/W4225582302","https://openalex.org/W4226171820","https://openalex.org/W4236566547","https://openalex.org/W4240837232","https://openalex.org/W4253677939","https://openalex.org/W4299451408","https://openalex.org/W4306164421","https://openalex.org/W4313242284","https://openalex.org/W4386552355","https://openalex.org/W4402642465"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3],"theory-based,":[4],"explainable":[5],"deep":[6],"learning":[7],"convolutional":[8],"neural":[9],"network":[10],"classifier":[11],"to":[12,18],"predict":[13],"the":[14],"time-varying":[15],"emotional":[16],"response":[17],"music.":[19]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
