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Andreu Vall
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Feature-combination hybrid recommender systems for automated music playlist continuation
A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer
User Modeling and User-Adapted Interaction 29, 527-572, 2019
642019
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ...
arXiv preprint arXiv:2004.00979, 2020
582020
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss
M Dorfer, J Schlüter, A Vall, F Korzeniowski, G Widmer
International Journal of Multimedia Information Retrieval 7, 117-128, 2018
562018
Towards explainable music emotion recognition: The route via mid-level features
S Chowdhury, A Vall, V Haunschmid, G Widmer
arXiv preprint arXiv:1907.03572, 2019
472019
The influence of users’ personality traits on satisfaction and attractiveness of diversified recommendation lists
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
4th Workshop on Emotions and Personality in Personalized Syetems (EMPIRE …, 2016
382016
Exploring music diversity needs across countries
B Ferwerda, A Vall, M Tkalcic, M Schedl
Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016
372016
User geospatial context for music recommendation in microblogs
M Schedl, A Vall, K Farrahi
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
342014
Impact of listening behavior on music recommendation
K Farrahi, M Schedl, A Vall, D Hauger, M Tkalcic
342014
The promise of AI for DILI prediction
A Vall, Y Sabnis, J Shi, R Class, S Hochreiter, G Klambauer
Frontiers in Artificial Intelligence 4, 638410, 2021
332021
How item discovery enabled by diversity leads to increased recommendation list attractiveness
B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl
Proceedings of the Symposium on Applied Computing, 1693-1696, 2017
332017
Enhancing activity prediction models in drug discovery with the ability to understand human language
P Seidl, A Vall, S Hochreiter, G Klambauer
International Conference on Machine Learning, 30458-30490, 2023
292023
Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs
A Vall, H Eghbal-Zadeh, M Dorfer, M Schedl, G Widmer
Proceedings of the 2nd workshop on deep learning for recommender systems, 46-54, 2017
272017
Order, context and popularity bias in next-song recommendations
A Vall, M Quadrana, M Schedl, G Widmer
International Journal of Multimedia Information Retrieval 8, 101-113, 2019
242019
Listener-inspired automated music playlist generation
A Vall
Proceedings of the 9th ACM Conference on Recommender Systems, 387-390, 2015
242015
The Importance of Song Context in Music Playlists
A Vall, M Schedl, G Widmer, M Quadrana, P Cremonesi
202017
The role of quick response in accelerating sales of fashion goods
A Lago, V Martínez-de-Albéniz, P Moscoso, A Vall
Analytical Modeling Research in Fashion Business, 51-78, 2016
202016
Improving Music Recommendations with a Weighted Factorization of the Tagging Activity.
A Vall, M Skowron, P Knees, M Schedl
ISMIR, 65-71, 2015
192015
A hybrid approach to music playlist continuation based on playlist-song membership
A Vall, M Dorfer, M Schedl, G Widmer
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1374-1382, 2018
182018
BioassayCLR: Prediction of biological activity for novel bioassays based on rich textual descriptions
A Vall, S Hochreiter, G Klambauer
ELLIS ML4Molecules workshop, 2021
122021
The importance of song context and song order in automated music playlist generation
A Vall, M Quadrana, M Schedl, G Widmer
arXiv preprint arXiv:1807.04690, 2018
102018
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