Andreu Vall

According to our database, Andreu Vall authored at least 20 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language.

Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer

Proceedings of the International Conference on Machine Learning, 2023

2021

The Promise of AI for DILI Prediction.

Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer

Frontiers Artif. Intell., 2021

2020

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

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

Order, context and popularity bias in next-song recommendations.

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer

Int. J. Multim. Inf. Retr., 2019

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

Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

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

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

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer

CoRR, 2018

A hybrid approach to music playlist continuation based on playlist-song membership.

Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Machine Learning Approaches to Hybrid Music Recommender Systems.

Andreu Vall, Gerhard Widmer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.

Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl

CoRR, 2017

How item discovery enabled by diversity leads to increased recommendation list attractiveness.

Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl

Proceedings of the Symposium on Applied Computing, 2017

The Importance of Song Context in Music Playlists.

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

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

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

2016

Exploring Music Diversity Needs Across Countries.

Bruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

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

Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2015

Listener-Inspired Automated Music Playlist Generation.

Andreu Vall

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Improving Music Recommendations with a Weighted Factorization of the Tagging Activity.

Andreu Vall, Marcin Skowron, Peter Knees, Markus Schedl

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014

User geospatial context for music recommendation in microblogs.

Markus Schedl, Andreu Vall, Katayoun Farrahi

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Impact of Listening Behavior on Music Recommendation.

Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014