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 | 180 | 2017 |
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 | 20 | 2013 |
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 | 3 | 2012 |
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 | 3 | 2010 |
Towards end-to-end optimisation of functional image analysis pipelines A Vilamala, KH Madsen, LK Hansen arXiv preprint arXiv:1610.04079, 2016 | 2 | 2016 |
Bayesian Semi Non-negative Matrix Factorisation A Vilamala, A Vellido, LA Belanche 24th European Symposium on Artificial Neural Networks, Computational …, 2016 | 2* | 2016 |
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 | 2 | 2014 |
Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis A Vilamala Universitat Politècnica de Catalunya, 2015 | 1 | 2015 |
Learning from Sensors and Past Experience in an Autonomous Oceanographic Probe A Vilamala, E Plaza, J Arcos Proceedings of the AAAI Conference on Artificial Intelligence 24 (2), 1859-1864, 2010 | 1 | 2010 |
Detection and Identification of Phytoplankton Assemblages using Case-Based Reasoning A Vilamala Bellaterra, Spain, 2010 | 1 | 2010 |
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 |
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 |
Model Quality Assessment of Predicted Protein Structures Using a Support Vector Machine A Vilamala UNIVERSITY OF READING, 2007 | | 2007 |
Analysis and Design of an Intelligent Oceanographic Probe with Autonomous Sampling Capabilities. A Vilamala, E Plaza, JL Arcos | | |