32 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 32 cited
Towards Explainable Personalized Recommendations by Learning from Users' Photos
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces +2
Explaining the output of a complex system, such as a Recommender System (RS), is becoming of utmost importance for both users and companies. In this paper we explore the idea that…
cs.CV2020★ 9 cited
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
David Morales, Estefania Talavera, Beatriz Remeseiro
The field of deep learning is evolving in different directions, with still the need for more efficient training strategies. In this work, we present a novel and robust training sch…