Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe. - Albert Vilamala; Enric Plaza; Josep Lluís Arcos (IAAI, 2010)

Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning. - Albert Vilamala; Lluís A. Belanche Muñoz; Alfredo Vellido (IJCNN, 2012)

Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. - Albert Vilamala; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Alfredo Vellido (Pattern Recognit. Lett., 2013)

Improving Stability of Feature Selection for Brain Tumour Diagnosis Using 1H-MRS Data. - Albert Vilamala; Lluís Belanche (IWBBIO, 2014)

A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors. - Albert Vilamala; Lluís A. Belanche Muñoz; Alfredo Vellido (PRNI, 2014)

Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis. - Albert Vilamala (2015)

Bayesian semi non-negative matrix factorisation. - Albert Vilamala; Alfredo Vellido; Lluís A. Belanche (ESANN, 2016)

Towards end-to-end optimisation of functional image analysis pipelines. - Albert Vilamala; Kristoffer Hougaard Madsen; Lars Kai Hansen (CoRR, 2016)

Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring. - Albert Vilamala; Kristoffer Hougaard Madsen; Lars Kai Hansen (MLSP, 2017)

Adaptive smoothing in fMRI data processing neural networks. - Albert Vilamala; Kristoffer Hougaard Madsen; Lars Kai Hansen (PRNI, 2017)