47 citations · 150 across the 11 of their papers we have counts for
12 papers
Offline Retrieval Evaluation Without Evaluation Metrics
Fernando Diaz, Andres Ferraro
Offline evaluation of information retrieval and recommendation has traditionally focused on distilling the quality of a ranking into a scalar metric such as average precision or no…
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Eduardo Fonseca, Andres Ferraro, Xavier Serra
Recent studies have put into question the commonly assumed shift invariance property of convolutional networks, showing that small shifts in the input can affect the output predict…
Enriched Music Representations with Multiple Cross-modal Contrastive Learning
Andres Ferraro, Xavier Favory, Konstantinos Drossos +2
Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtai…
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
Andres Ferraro, Yuntae Kim, Soohyeon Lee +8
One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions…
Exploring Longitudinal Effects of Session-based Recommendations
Andres Ferraro, Dietmar Jannach, Xavier Serra
Session-based recommendation is a problem setting where the task of a recommender system is to make suitable item suggestions based only on a few observed user interactions in an o…
Evaluation of CNN-based Automatic Music Tagging Models
Minz Won, Andres Ferraro, Dmitry Bogdanov +1
Recent advances in deep learning accelerated the development of content-based automatic music tagging systems. Music information retrieval (MIR) researchers proposed various archit…