Andreu Vall

Orcid: 0000-0002-7331-7792

According to our database1, Andreu Vall authored at least 20 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language.
Proceedings of the International Conference on Machine Learning, 2023

2021
The Promise of AI for DILI Prediction.
Frontiers Artif. Intell., 2021

2020
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.
CoRR, 2020

2019
Feature-combination hybrid recommender systems for automated music playlist continuation.
User Model. User Adapt. Interact., 2019

Order, context and popularity bias in next-song recommendations.
Int. J. Multim. Inf. Retr., 2019

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features.
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.
Int. J. Multim. Inf. Retr., 2018

The Importance of Song Context and Song Order in Automated Music Playlist Generation.
CoRR, 2018

A hybrid approach to music playlist continuation based on playlist-song membership.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Machine Learning Approaches to Hybrid Music Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.
CoRR, 2017

How item discovery enabled by diversity leads to increased recommendation list attractiveness.
Proceedings of the Symposium on Applied Computing, 2017

The Importance of Song Context in Music Playlists.
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.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

2016
Exploring Music Diversity Needs Across Countries.
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.
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.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Improving Music Recommendations with a Weighted Factorization of the Tagging Activity.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014
User geospatial context for music recommendation in microblogs.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Impact of Listening Behavior on Music Recommendation.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014


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