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Visualitza Departament de Tecnologies de la Informació i les Comunicacions per matèria

Visualitza Departament de Tecnologies de la Informació i les Comunicacions per matèria "Active learning"

Ara mostrant els elements 1-3 de 3

Modeling human annotation errors to design bias-aware systems for social stream processing

Pandey, Rahul; Castillo, Carlos; Purohit, Hemant (ACM Association for Computer Machinery, 2019)

High-quality human annotations are necessary to create effective machine learning systems for social media. Low-quality human annotations indirectly contribute to the creation of inaccurate or biased learning systems. We ...
Multi-class support vector machine active learning for music annotation

Chen, Gang; Wang, Tian-Jiang; Gong, Li-Yu; Herrera Boyer, Perfecto, 1964- (Inderscience Enterprises Ltd, 2010)

Music annotation is an important research topic in the multimedia area. One of the challenges in music annotation is how to reduce the human effort in labeling music files for building reliable classification models. In ...
TROMPA-MER: an open dataset for personalized music emotion recognition

Gómez Cañón, Juan Sebastián; Gutiérrez Páez, Nicolás Felipe; Porcaro, Lorenzo; Porter, Alastair; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gkiokas, Aggelos; Santos Rodríguez, Patrícia; Hernández Leo, Davinia; Karreman, Casper; Gómez Gutiérrez, Emilia, 1975- (Springer, 2023)

We present a platform and a dataset to help research on Music Emotion Recognition (MER). We developed the Music Enthusiasts platform aiming to improve the gathering and analysis of the so-called “ground truth” needed as ...