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pro vyhledávání: '"Alonso-Jiménez A"'
Autor:
Alonso-Jiménez, Pablo, Pepino, Leonardo, Batlle-Roca, Roser, Zinemanas, Pablo, Bogdanov, Dmitry, Serra, Xavier, Rocamora, Martín
We present PECMAE, an interpretable model for music audio classification based on prototype learning. Our model is based on a previous method, APNet, which jointly learns an autoencoder and a prototypical network. Instead, we propose to decouple both
Externí odkaz:
http://arxiv.org/abs/2402.09318
Publikováno v:
E3S Web of Conferences, Vol 349, p 01003 (2022)
Circular economy has, in the case of some raw materials, its own drawbacks. The principle states that reuse is basic to reduce primary production, thus in a healthy circular economy we should recycle as many elaborated raw materials as possible (in t
Externí odkaz:
https://doaj.org/article/879c080b315e4706adeffd975907e514
Music Information Retrieval (MIR) research is increasingly leveraging representation learning to obtain more compact, powerful music audio representations for various downstream MIR tasks. However, current representation evaluation methods are fragme
Externí odkaz:
http://arxiv.org/abs/2312.05994
In this work, we address music representation learning using convolution-free transformers. We build on top of existing spectrogram-based audio transformers such as AST and train our models on a supervised task using patchout training similar to PaSS
Externí odkaz:
http://arxiv.org/abs/2309.16418
Autor:
Alonso-Jiménez, Pablo, Favory, Xavier, Foroughmand, Hadrien, Bourdalas, Grigoris, Serra, Xavier, Lidy, Thomas, Bogdanov, Dmitry
In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies show that contrastive learning can be used with editorial metadata (e
Externí odkaz:
http://arxiv.org/abs/2304.12257
Prototype Generation (PG) methods are typically considered for improving the efficiency of the $k$-Nearest Neighbour ($k$NN) classifier when tackling high-size corpora. Such approaches aim at generating a reduced version of the corpus without decreas
Externí odkaz:
http://arxiv.org/abs/2207.10947
Autor:
Smeets, Nathalie, Gheldof, Alexander, Dequeker, Bart, Poleur, Margaux, Maldonado Slootjes, Sofia, Van Parijs, Vinciane, Deconinck, Nicolas, Dontaine, Pauline, Alonso-Jimenez, Alicia, De Bleecker, Jan, De Ridder, Willem, Herdewyn, Sarah, Paquay, Stéphanie, Vanlander, Arnaud, De Waele, Liesbeth, Peirens, Geertrui, Beysen, Diane, Claeys, Kristl G., Dubuisson, Nicolas, Hansen, Isabelle, Remiche, Gauthier, Seneca, Sara, Bissay, Véronique, Régal, Luc
Publikováno v:
In Pediatric Neurology September 2024 158:57-65
Publikováno v:
Medicina y Seguridad del Trabajo, Vol 69, Iss 271, Pp 77-99 (2023)
Resumen En términos económicos y preventivos, la vacunación se ha demostrado como la medida más eficaz y rentable para prevenir enfermedades infecciosas inmunoprevenibles, tanto a nivel individual como comunitario. La gestión de los riesgos biol
Externí odkaz:
https://doaj.org/article/d5e8973e31554d49a97a766480602cd3
La educación emocional: una alternativa educativa impostergable tras el retorno a la presencialidad.
Autor:
Alonso Jiménez, Lianet1 lianet.alonsoj@ug.edu.ec
Publikováno v:
Revista Uniandes Episteme. ene-mar2024, Vol. 11 Issue 1, p123-139. 17p.
Publikováno v:
Pensar en Movimiento: Revista de Ciencias del Ejercicio y la Salud, Vol 21, Iss 1, Pp 1-39 (2023)
El propósito del estudio fue cuantificar el tamaño de efecto (TE) del ejercicio aeróbico sobre la capacidad cardiorrespiratoria en sobrevivientes de la enfermedad COVID-19, producida por el virus SARS-CoV 2. Se revisaron dos bases de datos (EBSCO
Externí odkaz:
https://doaj.org/article/6d49038685c2410e80eba50ba8952054