{"id":"https://openalex.org/W2766587300","doi":"https://doi.org/10.1007/978-3-319-69900-4_82","title":"Structured Prediction of Music Mood with Twin Gaussian Processes","display_name":"Structured Prediction of Music Mood with Twin Gaussian Processes","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2766587300","doi":"https://doi.org/10.1007/978-3-319-69900-4_82","mag":"2766587300"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-69900-4_82","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-69900-4_82","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5057689299","display_name":"Santosh Chapaneri","orcid":"https://orcid.org/0000-0003-1159-496X"},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Santosh Chapaneri","raw_affiliation_strings":["St. Francis Institute of Technology, University of Mumbai, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"St. Francis Institute of Technology, University of Mumbai, Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097811385","display_name":"Deepak Jayaswal","orcid":"https://orcid.org/0000-0001-8337-3627"},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Jayaswal","raw_affiliation_strings":["St. Francis Institute of Technology, University of Mumbai, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"St. Francis Institute of Technology, University of Mumbai, Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057689299"],"corresponding_institution_ids":["https://openalex.org/I169877490"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.0071,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89451673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"647","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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":0.9991000294685364,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9593999981880188,"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/T12496","display_name":"Color perception and design","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744660973548889},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.6745945811271667},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6322938799858093},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.6087198853492737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5208150148391724},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.496629536151886},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4925282895565033},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4742640256881714},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45660239458084106},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4397929310798645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3783341646194458},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33987319469451904},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15649184584617615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744660973548889},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6745945811271667},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6322938799858093},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.6087198853492737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5208150148391724},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.496629536151886},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4925282895565033},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4742640256881714},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45660239458084106},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4397929310798645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783341646194458},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33987319469451904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15649184584617615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-69900-4_82","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-69900-4_82","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W769016527","https://openalex.org/W1539620591","https://openalex.org/W1576564833","https://openalex.org/W1577340187","https://openalex.org/W1663973292","https://openalex.org/W1966940075","https://openalex.org/W1983507146","https://openalex.org/W1992855217","https://openalex.org/W2096946329","https://openalex.org/W2116496396","https://openalex.org/W2134305421","https://openalex.org/W2169738563","https://openalex.org/W2382845619","https://openalex.org/W2397914692","https://openalex.org/W2507590263","https://openalex.org/W2551044171","https://openalex.org/W2574540082","https://openalex.org/W4211049957","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W2085024878"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}