Automatic identification of preferred music genres: an exploratory machine learning approach to support personalized music therapy-Reference-Cited by-同舟云学术

Automatic identification of preferred music genres: an exploratory machine learning approach to support personalized music therapy

Published:2024-03-14 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Nunes Ingrid Bruno,de Santana Maíra Araújo,Charron Nicole,Silva Hyngrid Souza e,de Lima Simões Caylane Mayssa,Lins Camila,de Souza Sampaio Ana Beatriz,de Melo Arthur Moreira Nogueira,da Silva Thailson Caetano Valdeci,Tiodista Camila,de Brito Nathália Córdula,Torcate Arianne Sarmento,Gomes Juliana Carneiro,Moreno Giselle Machado Magalhães,de Gusmão Cristine Martins Gomes,dos Santos Wellington Pinheiro^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18826-4.pdf

Reference47 articles.

1. Levine B, Svoboda E, Hay JF, Winocur G, Moscovitch M (2002) Aging and autobiographical memory: dissociating episodic from semantic retrieval. Psychol Aging 17(4):677

2. Gebka D, Kedziora-Kornatowska K, Podhorecka M, Sielski G, Sucharska-Szymkowiak M, Beck O (2015) Activation of the elderly with dementia syndrome

3. Mather M, Carstensen LL (2005) Aging and motivated cognition: the positivity effect in attention and memory. Trend Cogn Sci 9(10):496–502

4. de Melo Alcântara-Silva TR, Miotto EC, Moreira SV(2014) Musicoterapia, reabilitação cognitiva e doença de alzheimer: Revisão sistemática. Brazilian journal of music therapy

5. Matthews S (2014) Music therapy and dementia: rethinking the debate over advance directives. Ethics education 20

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating the Impact of Musical Therapy on Physiological Stress in College Students Using Mixed Density Neural Networks;Mobile Networks and Applications;2024-09-04