{"id":"https://openalex.org/W3205848976","doi":"https://doi.org/10.48550/arxiv.2106.00110","title":"A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling","display_name":"A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling","publication_year":2021,"publication_date":"2021-05-31","ids":{"openalex":"https://openalex.org/W3205848976","doi":"https://doi.org/10.48550/arxiv.2106.00110","mag":"3205848976"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2106.00110","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00110","pdf_url":"https://arxiv.org/pdf/2106.00110","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.00110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054165461","display_name":"Anna K. Yanchenko","orcid":"https://orcid.org/0000-0003-3891-9170","observed_orcids":["https://orcid.org/0000-0003-3891-9170"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanchenko, Anna K.","raw_affiliation_strings":["Department of Statistical Science , Duke University , Durham NC 27708-0251 . U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science , Duke University , Durham NC 27708-0251 . U.S.A","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103518384","display_name":"Mohammadreza Soltani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soltani, Mohammadreza","raw_affiliation_strings":["Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077685915","display_name":"Robert Ravier","orcid":"https://orcid.org/0000-0002-6260-2010","observed_orcids":["https://orcid.org/0000-0002-6260-2010"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravier, Robert J.","raw_affiliation_strings":["Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014241799","display_name":"Sayan Mukherjee","orcid":"https://orcid.org/0000-0002-6715-3920","observed_orcids":["https://orcid.org/0000-0002-6715-3920"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mukherjee, Sayan","raw_affiliation_strings":["Department of Statistical Science , Duke University , Durham NC 27708-0251 . U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science , Duke University , Durham NC 27708-0251 . U.S.A","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020766546","display_name":"Vahid Tarokh","orcid":"https://orcid.org/0000-0003-2994-6302","observed_orcids":["https://orcid.org/0000-0003-2994-6302"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarokh, Vahid","raw_affiliation_strings":["Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering , Duke University , Durham NC 27708-0251 . U.S.A","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.8378999829292297,"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":0.8378999829292297,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.15639999508857727,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/handcrafted-features","display_name":"handcrafted features","score":0.925000011920929},{"id":"https://openalex.org/keywords/feature-importance","display_name":"feature importance","score":0.46799999475479126},{"id":"https://openalex.org/keywords/model-explainability","display_name":"model explainability","score":0.5920000076293945},{"id":"https://openalex.org/keywords/feature-robustness","display_name":"feature robustness","score":0.8830000162124634},{"id":"https://openalex.org/keywords/feature-similarity","display_name":"feature similarity","score":0.6010000109672546},{"id":"https://openalex.org/keywords/model-trust","display_name":"model trust","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7411203384399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66431725025177},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5133585333824158},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47770336270332336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514804780483246},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3312743902206421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12474536895751953}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2106.00110","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00110","pdf_url":"https://arxiv.org/pdf/2106.00110","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2106.00110","doi":"https://doi.org/10.48550/arxiv.2106.00110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.00110","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.00110","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00110","pdf_url":"https://arxiv.org/pdf/2106.00110","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205848976.pdf","grobid_xml":"https://content.openalex.org/works/W3205848976.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W2059652044","https://openalex.org/W2093231248","https://openalex.org/W2103869314","https://openalex.org/W2169393322","https://openalex.org/W2191779130","https://openalex.org/W2437181147","https://openalex.org/W2478051194","https://openalex.org/W2519091744","https://openalex.org/W2559688696","https://openalex.org/W2594633041","https://openalex.org/W2601564443","https://openalex.org/W2605409611","https://openalex.org/W2606176153","https://openalex.org/W2618851150","https://openalex.org/W2771305881","https://openalex.org/W2891612330","https://openalex.org/W2898482221","https://openalex.org/W2902181946","https://openalex.org/W2925907129","https://openalex.org/W2939574508","https://openalex.org/W2942810103","https://openalex.org/W2945837706","https://openalex.org/W2951384661","https://openalex.org/W2963337368","https://openalex.org/W2963550089","https://openalex.org/W2970447476","https://openalex.org/W2971048680","https://openalex.org/W2995254904","https://openalex.org/W3014290757","https://openalex.org/W3023625628","https://openalex.org/W3045062880","https://openalex.org/W3097248747","https://openalex.org/W3097525302","https://openalex.org/W3100924069","https://openalex.org/W6912059742","https://openalex.org/W6912226552"],"related_works":["https://openalex.org/W3171703859","https://openalex.org/W2954111970","https://openalex.org/W7112706978","https://openalex.org/W7021083897","https://openalex.org/W4200525117","https://openalex.org/W2296610835","https://openalex.org/W2903340952","https://openalex.org/W4308860186","https://openalex.org/W2461724944","https://openalex.org/W2045135321"],"abstract_inverted_index":{"Understanding":[0],"the":[1,21,52,66,111,127,132],"features":[2,39,57,61,82,107,119,129],"learned":[3],"by":[4],"deep":[5,16,28,56,81,92,106,128],"models":[6],"is":[7,139],"important":[8],"from":[9],"a":[10,72],"model":[11,32],"trust":[12],"perspective,":[13],"especially":[14],"as":[15],"systems":[17],"are":[18,41,63,108,120,130],"deployed":[19],"in":[20,83],"real":[22],"world.":[23],"Most":[24],"recent":[25],"approaches":[26,90],"for":[27,43,65,79,91,110,121],"feature":[29,88,93],"understanding":[30,94,102],"or":[31],"explanation":[33],"focus":[34,100],"on":[35,101,150],"highlighting":[36],"input":[37,87],"data":[38],"that":[40,62],"relevant":[42],"classification":[44,112],"decisions.":[45],"In":[46],"this":[47,84],"work,":[48],"we":[49,146],"instead":[50],"take":[51],"perspective":[53],"of":[54,68,76,114],"relating":[55],"to":[58,131,141],"well-studied,":[59],"hand-crafted":[60,104,134],"meaningful":[64,133],"application":[67,143],"interest.":[69],"We":[70],"propose":[71],"methodology":[73],"and":[74,105,124,145],"set":[75],"systematic":[77],"experiments":[78,99],"exploring":[80],"setting,":[85],"where":[86],"importance":[89],"do":[95],"not":[96],"apply.":[97],"Our":[98,136],"which":[103],"useful":[109],"task":[113],"interest,":[115],"how":[116,125],"robust":[117],"these":[118],"related":[122],"tasks":[123],"similar":[126],"features.":[135],"proposed":[137],"method":[138],"general":[140],"many":[142],"areas":[144],"demonstrate":[147],"its":[148],"utility":[149],"orchestral":[151],"music":[152],"audio":[153],"data.":[154]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-25T00:00:00"}