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2020 – today
- 2024
[i9]Simon Deltadahl, Andreu Vall, Vijay Ivaturi, Niklas Korsbo:
A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data. CoRR abs/2410.16177 (2024)- 2023
- [c13]Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer:
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. ICML 2023: 30458-30490 - [i8]Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer:
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. CoRR abs/2303.03363 (2023) - 2021
- [j4]Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer:
The Promise of AI for DILI Prediction. Frontiers Artif. Intell. 4: 638410 (2021) - 2020
- [i7]Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer:
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR abs/2004.00979 (2020)
2010 – 2019
- 2019
- [j3]Andreu Vall
, Massimo Quadrana, Markus Schedl, Gerhard Widmer:
Order, context and popularity bias in next-song recommendations. Int. J. Multim. Inf. Retr. 8(2): 101-113 (2019) - [j2]Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer:
Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. 29(2): 527-572 (2019) - [c12]Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. ISMIR 2019: 237-243 - [i6]Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. CoRR abs/1907.03572 (2019) - 2018
- [j1]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. Int. J. Multim. Inf. Retr. 7(2): 117-128 (2018) - [c11]Andreu Vall, Gerhard Widmer:
Machine Learning Approaches to Hybrid Music Recommender Systems. ECML/PKDD (3) 2018: 639-642 - [c10]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A hybrid approach to music playlist continuation based on playlist-song membership. SAC 2018: 1374-1382 - [i5]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership. CoRR abs/1805.09557 (2018) - [i4]Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer:
The Importance of Song Context and Song Order in Automated Music Playlist Generation. CoRR abs/1807.04690 (2018) - [i3]Andreu Vall, Gerhard Widmer:
Machine Learning Approaches to Hybrid Music Recommender Systems. CoRR abs/1807.05858 (2018) - 2017
- [c9]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys 2017: 46-54 - [c8]Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi:
The Importance of Song Context in Music Playlists. RecSys Posters 2017 - [c7]Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
How item discovery enabled by diversity leads to increased recommendation list attractiveness. SAC 2017: 1693-1696 - [i2]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss. CoRR abs/1705.06979 (2017) - [i1]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. CoRR abs/1705.08283 (2017) - 2016
- [c6]Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. EMPIRE@RecSys 2016: 43-47 - [c5]Bruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl:
Exploring Music Diversity Needs Across Countries. UMAP 2016: 287-288 - 2015
- [c4]Andreu Vall, Marcin Skowron, Peter Knees, Markus Schedl:
Improving Music Recommendations with a Weighted Factorization of the Tagging Activity. ISMIR 2015: 65-71 - [c3]Andreu Vall:
Listener-Inspired Automated Music Playlist Generation. RecSys 2015: 387-390 - 2014
- [c2]Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic:
Impact of Listening Behavior on Music Recommendation. ISMIR 2014: 483-488 - [c1]Markus Schedl, Andreu Vall, Katayoun Farrahi:
User geospatial context for music recommendation in microblogs. SIGIR 2014: 987-990
Coauthor Index
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