Alexandre Savio

According to our database, Alexandre Savio authored at least 19 papers between 2009 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Pypes: Workflows for Processing Multimodal Neuroimaging Data.

Alexandre Savio, Michael Schutte, Manuel Graña, Igor Yakushev

Frontiers Neuroinformatics, 2017

2016

Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification.

Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

2015

Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.

Darya Chyzhyk, Alexandre Savio, Manuel Graña

Neural Networks, 2015

Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI.

Alexandre Savio, Manuel Graña

Neurocomputing, 2015

A lattice computing approach to Alzheimer's disease computer assisted diagnosis based on MRI data.

George A. Papakostas, Alexandre Savio, Manuel Graña, Vassilis G. Kaburlasos

Neurocomputing, 2015

2014

Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI.

Darya Chyzhyk, Alexandre Savio, Manuel Graña

Neurocomputing, 2014

Computer Aided Diagnosis of Schizophrenia Based on Local-Activity Measures of Resting-State fMRI.

Alexandre Savio, Darya Chyzhyk, Manuel Graña

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013

Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease.

Alexandre Savio, Manuel Graña

Expert Syst. Appl., 2013

A Domestic Application of Intelligent Social Computing: The SandS Project.

Manuel Graña, Ion Marqués, Alexandre Savio, Bruno Apolloni

Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

Meta-ensembles of Classifiers for Alzheimer's Disease Detection Using Independent ROI Features.

Borja Ayerdi, Alexandre Savio, Manuel Graña

Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

An Ensemble of Classifiers Guided by the AAL Brain Atlas for Alzheimer's Disease Detection.

Alexandre Savio, Manuel Graña

Proceedings of the Advances in Computational Intelligence, 2013

2012

Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI.

Darya Chyzhyk, Manuel Graña, Alexandre Savio, Josu Maiora

Neurocomputing, 2012

Supervised classification using deformation-based features for Alzheimer's disease detection on the OASIS cross-sectional database.

Alexandre Savio

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011

Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI.

Alexandre Savio, M. Teresa García-Sebastián, Darya Chyzhyk, Carmen Hernández, Manuel Graña, Andone Sistiaga, A. López de Munain, Jorge Villanúa

Comput. Biol. Medicine, 2011

Deformation Based Features for Alzheimer's Disease Detection with Linear SVM.

Alexandre Savio, Manuel Graña, Jorge Villanúa

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010

A lattice computing approach for on-line fMRI analysis.

Manuel Graña, Alexandre Savio, Maite García-Sebastián, Elsa Fernández

Image Vis. Comput., 2010

A Comparison of VBM Results by SPM, ICA and LICA.

Darya Chyzhyk, Maite Termenon, Alexandre Savio

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

Results of an Adaboost Approach on Alzheimer's Disease Detection on MRI.

Alexandre Savio, Maite García-Sebastián, Manuel Graña, Jorge Villanúa

Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Classification Results of Artificial Neural Networks for Alzheimer's Disease Detection.

Alexandre Savio, Maite García-Sebastián, Carmen Hernández, Manuel Graña, Jorge Villanúa

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009