30 citations · 62 across the 8 of their papers we have counts for
9 papers
A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data
Simon Deltadahl, Andreu Vall, Vijay Ivaturi +1
We present a novel framework for synthesizing patient data with complex covariates (e.g., eye scans) paired with longitudinal observations (e.g., visual acuity over time), addressi…
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl, Andreu Vall, Sepp Hochreiter +1
Activity and property prediction models are the central workhorses in drug discovery and materials sciences, but currently they have to be trained or fine-tuned for new tasks. With…
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer +8
Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs. We conducted a large-scale virtual…
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features
Shreyan Chowdhury, Andreu Vall, Verena Haunschmid +1
Emotional aspects play an important part in our interaction with music. However, modelling these aspects in MIR systems have been notoriously challenging since emotion is an inhere…
Machine Learning Approaches to Hybrid Music Recommender Systems
Andreu Vall, Gerhard Widmer
Music recommender systems have become a key technology supporting the access to increasingly larger music catalogs in on-line music streaming services, on-line music shops, and pri…
The Importance of Song Context and Song Order in Automated Music Playlist Generation
Andreu Vall, Massimo Quadrana, Markus Schedl +1
The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening sessio…