Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition

Authors

Juan Sebastián Gómez-Cañón (ORCID: https://orcid.org/0000-0002-2544-6311)
Perfecto Herrera (ORCID: https://orcid.org/0000-0003-2799-7675)
Thomas M. Lennie (ORCID: https://orcid.org/0000-0001-9821-6173)
Emília Gómez (ORCID: https://orcid.org/0000-0003-4983-3989)
Estefanía Cano (ORCID: https://orcid.org/0000-0002-1056-5844)
Tuomas Eerola (ORCID: https://orcid.org/0000-0002-2896-929X)
Pablo Aragón (ORCID: https://orcid.org/0000-0002-6017-4577)

Institutions

Universitat Pompeu Fabra (ES)
American University in Bulgaria (BG)
Durham University (GB)
Universitätsklinikum Erlangen (DE)
Joint Research Center (ES)
Stanford University (US)

Publication Details

Journal: EPJ Data Science
Published: 2025-11-13
DOI: https://doi.org/10.1140/epjds/s13688-025-00595-1
Primary Topic: Music and Audio Processing
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition

Juan Sebastián Gómez-Cañón, Perfecto Herrera, Thomas M. Lennie, Emília Gómez et al.

Nov 13, 2025

EPJ Data Science

Music and Audio Processing

article

Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition

Juan Sebastián Gómez-Cañón, Perfecto Herrera, Thomas M. Lennie, Emília Gómez, Estefanía Cano, Tuomas Eerola, Pablo Aragón

November 13, 2025article en

Abstract

No abstract available for this paper.

EPJ Data ScienceVol. 14(1)

Universitat Pompeu Fabra (ES), American University in Bulgaria (BG), Durham University (GB), Universitätsklinikum Erlangen (DE), Joint Research Center (ES), Stanford University (US)

Openalex Percentile: Top 58%

Music and Audio Processing

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.