Albert Vilamala

According to our database, Albert Vilamala authored at least 10 papers between 2010 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Adaptive smoothing in fMRI data processing neural networks.

Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring.

Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Towards end-to-end optimisation of functional image analysis pipelines.

Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen

CoRR, 2016

Bayesian semi non-negative matrix factorisation.

Albert Vilamala, Alfredo Vellido, Lluís A. Belanche

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis.

Albert Vilamala

PhD thesis, 2015

2014

A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors.

Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Improving Stability of Feature Selection for Brain Tumour Diagnosis Using 1H-MRS Data.

Albert Vilamala, Lluís Belanche

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

2013

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

2012

Classifying malignant brain tumours from ¹H-MRS data using Breadth Ensemble Learning.

Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010

Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe.

Albert Vilamala, Enric Plaza, Josep Lluís Arcos

Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, 2010