About me

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Pablo Pérez Núñez

Postdoctoral student at University of Oviedo

Recommender Systems

Deep Learning

Machine Learning

Computer Vision

Journals

[1] J. Díez, P. Pérez-Núñez, O. Luaces, B. Remeseiro, and A. Bahamonde, Towards explainable personalized recommendations by learning from users’ photos, Inf. Sci. (Ny), vol. 520, pp. 416–430, 2020, doi: 10.1016/j.ins.2020.02.018.

[2] P. Pérez-Núñez, O. Luaces, A. Bahamonde, and J. Díez, Improving recommender systems by encoding items and user profiles considering the order in their consumption history, Prog. Artif. Intell., vol. 9, no. 1, pp. 67–75, 2020, doi: 10.1007/s13748-019-00199-7.

[3] P. Pérez-Núnez, J. Díez, O. Luaces, and A. Bahamonde, User encoding for clustering in very sparse recommender systems tasks, Multimed. Tools Appl., vol. 81, no. 2, pp. 2467–2488, 2022, doi: 10.1007/s11042-021-11564-x.

[4] P. Pérez-Núñez, J. Díez, O. Luaces, B. Remeseiro and A. Bahamonde, Users’ photos of items can reveal their tastes in a recommender system, Information Sciences, vol 642, 2023, 119227, ISSN 0020-0255, doi: 10.1016/j.ins.2023.119227.

[5] P. Pérez-Núñez, J. Díez, B. Remeseiro, O. Luaces and A. Bahamonde, All-in-one picture: visual summary of items in a recommender system, Neural Computing and Applications, ISSN 0941-0643, doi: 10.1007/s00521-023-08822-4.

Conferences

[1] P. Pérez-Núñez, O. Luaces, A. Bahamonde, and J. Díez, Representaciones basadas en redes neuronales para tareas de recomendación, in CAEPIA, 2018, pp. 1179–1184.

[2] T. Vazquez, P. Pérez-Núñez, J. Diez, and J. Fernández, Fault detection in low voltage networkswith smart meters and machine learning techniques. AIM, 2019.

[3] P. Pérez-Núñez, Taking advantage of images and texts in recommender systems: semantics and explainability, in Fourteenth ACM Conference on Recommender Systems, 2020.

[4] C. A. Huerta and P. Pérez-Núñez, Visualizing Recommendations for Points of Interest, 2020.

[5] P. Pérez-Núñez, A. Bahamonde, O. Luaces, and J. Díez, Sistema de Recomendación con Explicaciones Basadas en Texto, in CAEPIA, 2021, pp. 29–34.

[6] A. Rodríguez-Revuelta, P. Pérez-Núñez, and J. Díez, Sistema de Recomendación Transparente y Escrutable para Recomendaciones Personalizadas, in CAEPIA, 2021, pp. 741–746.

[7] P. Pérez-Núñez, C. Cuesta, and J. Díez, Competición CAEPIA-App: Recomendación de Restaurantes Basada en Contenido Visual, in CAEPIA, 2021, pp. 985–988.

Last update: 20/07/2023