Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis
Albert Vilamala Muñoz
TDX (Tesis Doctorals en Xarxa)
1
2015
Bayesian semi non-negative matrix factorisation
Albert Vilamala Muñoz , Alfredo Vellido Alcacena , Luis Antonio Belanche Muñoz ,
the european symposium on artificial neural networks 195 -200
2016
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Kristoffer H. Madsen , Lars K. Hansen , Albert Vilamala
arXiv: Computer Vision and Pattern Recognition
130
2017
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors
Albert Vilamala , Lluis A. Belanche , Alfredo Vellido
international workshop on pattern recognition in neuroimaging 1 -4
1
2014
Adaptive smoothing in fMRI data processing neural networks
Albert Vilamala , Kristoffer Hougaard Madsen , Lars Kai Hansen
international workshop on pattern recognition in neuroimaging 1 -4
2017
Classifying malignant brain tumours from 1 H-MRS data using Breadth Ensemble Learning
Albert Vilamala , Lluis A. Belanche , Alfredo Vellido
international joint conference on neural network 1 -8
1
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 Recognition Letters 34 ( 14) 1734 -1747
13
2013
Towards end-to-end optimisation of functional image analysis pipelines
Albert Vilamala , Kristoffer Hougaard Madsen , Lars Kai Hansen
https://arxiv.org/abs/1610.04079
2
2016
Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe
Albert Vilamala , Enric Plaza , Josep Arcos
Proceedings of the AAAI Conference on Artificial Intelligence 24 ( 2) 1859 -1864
1
2010
Analysis and Design of an Intelligent Oceanographic Probe with Autonomous Sampling Capabilities.
Albert Vilamala , Enric Plaza , Josep Lluis Arcos
Detection and Identification of Phytoplankton Assemblages using Case-Based Reasoning
Albert Vilamala
Bellaterra, Spain
1
2010
Improving Stability of Feature Selection for Brain Tumour Diagnosis using H-MRS Data
Albert Vilamala , Lluıs A Belanche
International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2014) 1254 -1265
2014
Model Quality Assessment of Predicted Protein Structures Using a Support Vector Machine
Albert Vilamala
UNIVERSITY OF READING
2007
Mapping marine phytoplankton assemblages from a hyperspectral and Artificial Intelligence perspective
E. Torrecilla , J. Piera , S. Pons , I. F. Aymerich
OCEANS'10 IEEE SYDNEY 1 -7
2010