activity
20182020
most citedTowards Explainable Music Emotion Recognition: The Route via Mid-level Features

9 citations · 9 across the 1 of their papers we have counts for

collaborators

5 papers

q-bio.BM2020

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks

Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer +8

Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a large-scale virtual…

cs.SD20199 cited

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features

Shreyan Chowdhury, Andreu Vall, Verena Haunschmid +1

Emotional aspects play an important part in our interaction with music. However, modelling these aspects in MIR systems have been notoriously challenging since emotion is an inhere…

cs.IR2018

Machine Learning Approaches to Hybrid Music Recommender Systems

Andreu Vall, Gerhard Widmer

Music recommender systems have become a key technology supporting the access to increasingly larger music catalogs in on-line music streaming services, on-line music shops, and pri…

cs.IR2018

The Importance of Song Context and Song Order in Automated Music Playlist Generation

Andreu Vall, Massimo Quadrana, Markus Schedl +1

The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening sessio…

cs.IR2018

A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership

Andreu Vall, Matthias Dorfer, Markus Schedl +1

Automated music playlist continuation is a common task of music recommender systems, that generally consists in providing a fitting extension to a given playlist. Collaborative fil…