Classification of EEG signals using relative wavelet energy and artificial neural networks. - Ling Guo; Daniel Rivero 001; José A. Seoane; Alejandro Pazos (GEC Summit, 2009)

Data Mining in Complex Diseases Using Evolutionary Computation. - Vanessa Aguiar-Pulido; José A. Seoane; Ana Freire; Cristian R. Munteanu (IWANN (1), 2009)

Ontologies and Processing Patterns for Microarrays. - Mónica Miguélez Rico; José Antonio Seoane Fernández; Julián Dorado de la Calle (Encyclopedia of Artificial Intelligence, 2009)

A Block-matching based technique for the analysis of 2D gel images. - Ana Freire; José A. Seoane; Alvaro Rodríguez 001; Cristina Ruíz Romero; Guillermo López-Campos; Julián Dorado (MedInfo, 2010)

Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool. - Alba Cabarcos; Tamara Sanchez; José A. Seoane; Vanessa Aguiar-Pulido; Ana Freire; Julián Dorado; Alejandro Pazos (Int. J. Electron. Heal., 2010)

A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories. - Noelia Vállez; Gloria Bueno García; Oscar Déniz-Suárez; José A. Seoane; Julián Dorado; Alejandro Pazos (IbPRIA, 2011)

Motion estimation in real deformation processes based on block-matching techniques. - Alvaro Rodríguez 001; Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Juan R. Rabuñal; Julián Dorado (ISSPIT, 2011)

SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification. - Vanessa Aguiar-Pulido; José A. Seoane; Cristian R. Munteanu; Alejandro Pazos (IWANN (2), 2011)

Analysis of Deformation Processes using Block-matching Techniques. - Alvaro Rodríguez 001; Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Juan R. Rabuñal; Julián Dorado (VISAPP (2), 2012)

Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. - Daniel Rivero 001; Ling Guo; José A. Seoane; Julián Dorado (IET Signal Process., 2012)

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOSTEC (Selected Papers), 2013)

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOINFORMATICS, 2013)

Texture Classification Using Kernel-Based Techniques. - Carlos Fernandez-Lozano; José A. Seoane; Marcos Gestal; Tom R. Gaunt; Colin Campbell (IWANN (1), 2013)

Anonymizing Patient Genomic Data for Public Sharing Association Studies. - Carlos Fernandez-Lozano; Guillermo López-Campos; José A. Seoane; Victoria López-Alonso; Julián Dorado; Fernando Martín-Sánchez; Alejandro Pazos (MedInfo, 2013)

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. - Carlos Fernandez-Lozano; José A. Seoane; Marcos Gestal; Daniel Rivero 001; Julián Dorado; Alejandro Pazos (VISAPP (1), 2013)

Spot matching in 2D electrophoresis experiments. - Carlos Fernandez-Lozano; Alvaro Rodríguez-Tajes; Cristina Ruíz Romero; José A. Seoane (Int. J. Data Anal. Tech. Strateg., 2013)

SNP locator: a candidate SNP selection tool. - José A. Seoane; Vanessa Aguiar-Pulido; Alba Cabarcos; Sonsoles Quintela; Juan Ramón Rabuñal; Julián Dorado (Int. J. Data Min. Model. Manag., 2013)

A Random Forest proximity matrix as a new measure for gene annotation. - José A. Seoane; Ian N. M. Day; Juan P. Casas; Colin Campbell; Tom R. Gaunt (ESANN, 2014)

Using a Random Forest proximity measure for variable importance stratification in genotypic data. - José A. Seoane; Ian N. M. Day; Colin Campbell; Juan P. Casas; Tom R. Gaunt (IWBBIO, 2014)

A pathway-based data integration framework for prediction of disease progression. - José A. Seoane; Ian N. M. Day; Tom R. Gaunt; Colin Campbell (Bioinform., 2014)

Breast density classification to reduce false positives in CADe systems. - Noelia Vállez; Gloria Bueno García; Oscar Déniz; Julián Dorado; José Antonio Seoane Fernández; Alejandro Pazos; Carlos Pastor (Comput. Methods Programs Biomed., 2014)

Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery. - José A. Seoane; Colin Campbell; Ian N. M. Day; Juan P. Casas; Tom R. Gaunt (PLoS Comput. Biol., 2014)

RRegrs: an R package for computer-aided model selection with multiple regression models. - Georgia Tsiliki; Cristian R. Munteanu; José A. Seoane; Carlos Fernandez-Lozano; Haralambos Sarimveis; Egon L. Willighagen (J. Cheminformatics, 2015)

Texture classification using feature selection and kernel-based techniques. - Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Marcos Gestal; Tom R. Gaunt; Julián Dorado; Colin Campbell (Soft Comput., 2015)

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. - Carlos Fernandez-Lozano; Ruben F. Cuinas; José A. Seoane; Enrique Fernández-Blanco; Julián Dorado; Cristian R. Munteanu (CoRR, 2019)

Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups. - Oscar M. Rueda; Stephen John Sammut; José A. Seoane; Suet-Feung Chin; Jennifer L. Caswell-Jin; Maurizio Callari; Rajbir Nath Batra; Bernard Pereira; Alejandra Bruna; H. Raza Ali; Elena Provenzano; Bin Liu; et al. (Nat., 2019)

Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data. - Jose Liñares-Blanco; Carlos Fernandez-Lozano; José A. Seoane; Guillermo López-Campos (MIE, 2021)