Albert Vilamala
Albert Vilamala
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Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring
A Vilamala, KH Madsen, LK Hansen
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
592017
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours
A Vilamala, PJG Lisboa, S Ortega-Martorell, A Vellido
Pattern Recognition Letters 34 (14), 1734-1747, 2013
142013
Towards end-to-end optimisation of functional image analysis pipelines
A Vilamala, KH Madsen, LK Hansen
arXiv preprint arXiv:1610.04079, 2016
12016
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors
A Vilamala, LA Belanche, A Vellido
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
12014
Classifying malignant brain tumours from1H-MRS data using Breadth Ensemble Learning
A Vilamala, LA Belanche, A Vellido
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
12012
Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe.
A Vilamala, E Plaza, JL Arcos
IAAI, 2010
12010
Detection and Identification of Phytoplankton Assemblages using Case-Based Reasoning
A Vilamala
Bellaterra, Spain, 2010
12010
Model Quality Assessment of Predicted Protein Structures Using a Support Vector Machine
A Vilamala
UNIVERSITY OF READING, 2007
12007
Adaptive smoothing in fMRI data processing neural networks
A Vilamala, KH Madsen, LK Hansen
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017
2017
Bayesian Semi Non-negative Matrix Factorisation
A Vilamala, A Vellido, LA Belanche
24th European Symposium on Artificial Neural Networks, Computational …, 2016
2016
Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis
A Vilamala
Universitat Politècnica de Catalunya, 2015
2015
Improving Stability of Feature Selection for Brain Tumour Diagnosis using H-MRS Data
A Vilamala, LA Belanche
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2014
2014
Mapping marine phytoplankton assemblages from a hyperspectral and Artificial Intelligence perspective
E Torrecilla, J Piera, S Pons, IF Aymerich, A Vilamala, JL Arcos, E Plaza
OCEANS'10 IEEE SYDNEY, 1-7, 2010
2010
Analysis and Design of an Intelligent Oceanographic Probe with Autonomous Sampling Capabilities.
A Vilamala, E Plaza, JL Arcos
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Artikler 1–14