Impact of Listening Behavior on Music Recommendation. - Katayoun Farrahi; Markus Schedl; Andreu Vall; David Hauger; Marko Tkalcic (ISMIR, 2014)

User geospatial context for music recommendation in microblogs. - Markus Schedl; Andreu Vall; Katayoun Farrahi (SIGIR, 2014)

Improving Music Recommendations with a Weighted Factorization of the Tagging Activity. - Andreu Vall; Marcin Skowron; Peter Knees; Markus Schedl (ISMIR, 2015)

Listener-Inspired Automated Music Playlist Generation. - Andreu Vall (RecSys, 2015)

The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. - Bruce Ferwerda; Mark P. Graus; Andreu Vall; Marko Tkalcic; Markus Schedl (EMPIRE@RecSys, 2016)

Exploring Music Diversity Needs Across Countries. - Bruce Ferwerda; Andreu Vall; Marko Tkalcic; Markus Schedl (UMAP, 2016)

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl; Gerhard Widmer (DLRS@RecSys, 2017)

The Importance of Song Context in Music Playlists. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer; Paolo Cremonesi (RecSys Posters, 2017)

How item discovery enabled by diversity leads to increased recommendation list attractiveness. - Bruce Ferwerda; Mark P. Graus; Andreu Vall; Marko Tkalcic; Markus Schedl (SAC, 2017)

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl (CoRR, 2017)

Machine Learning Approaches to Hybrid Music Recommender Systems. - Andreu Vall; Gerhard Widmer (ECML/PKDD (3), 2018)

A hybrid approach to music playlist continuation based on playlist-song membership. - Andreu Vall; Matthias Dorfer; Markus Schedl; Gerhard Widmer (SAC, 2018)

The Importance of Song Context and Song Order in Automated Music Playlist Generation. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer (CoRR, 2018)

End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. - Matthias Dorfer; Jan Schlüter; Andreu Vall; Filip Korzeniowski; Gerhard Widmer (Int. J. Multim. Inf. Retr., 2018)

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. - Shreyan Chowdhury; Andreu Vall; Verena Haunschmid; Gerhard Widmer (ISMIR, 2019)

Order, context and popularity bias in next-song recommendations. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer (Int. J. Multim. Inf. Retr., 2019)

Feature-combination hybrid recommender systems for automated music playlist continuation. - Andreu Vall; Matthias Dorfer; Hamid Eghbal-zadeh; Markus Schedl; Keki Burjorjee; Gerhard Widmer (User Model. User Adapt. Interact., 2019)

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. - Markus Hofmarcher; Andreas Mayr; Elisabeth Rumetshofer; Peter Ruch; Philipp Renz; Johannes Schimunek; Philipp Seidl; Andreu Vall; Michael Widrich; Sepp Hochreiter; Günter Klambauer (CoRR, 2020)

The Promise of AI for DILI Prediction. - Andreu Vall; Yogesh Sabnis; Jiye Shi; Reiner Class; Sepp Hochreiter; Günter Klambauer (Frontiers Artif. Intell., 2021)

Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. - Philipp Seidl; Andreu Vall; Sepp Hochreiter; Günter Klambauer (ICML, 2023)

A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data. - Simon Deltadahl; Andreu Vall; Vijay Ivaturi; Niklas Korsbo (CoRR, 2024)