José Antonio Seoane Fernández

发表

Data Mining in Complex Diseases Using Evolutionary Computation

Cristian R. Munteanu, Vanessa Aguiar-Pulido, José Antonio Seoane Fernández, 2009, IWANN.

Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool

Alejandro Pazos, Julian Dorado, Vanessa Aguiar-Pulido, 2010, Int. J. Electron. Heal..

A New System for the Integration of Medical Imaging Processing Algorithms into a Web Environment

José Antonio Seoane Fernández, Julián Dorado de la Calle, Juan Luis Pérez Ordóñez, 2010 .

SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification

Cristian R. Munteanu, Vanessa Aguiar-Pulido, José Antonio Seoane Fernández, 2011, IWANN.

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis

Stefano Cagnoni, Carlos Fernandez-Lozano, Youssef S. G. Nashed, 2013, BIOINFORMATICS.

Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification

Daniel Rivero, Julian Dorado, Ling Guo, 2012, IET Signal Process..

SNP locator: a candidate SNP selection tool

Juan R. Rabuñal, Vanessa Aguiar-Pulido, José Antonio Seoane Fernández, 2013, Int. J. Data Min. Model. Manag..

Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery

Colin Campbell, Tom R. Gaunt, José Antonio Seoane Fernández, 2014, PLoS Comput. Biol..

A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories

Oscar Déniz-Suárez, José Antonio Seoane Fernández, Gloria Bueno García, 2011, IbPRIA.

Breast density classification to reduce false positives in CADe systems

Oscar Déniz-Suárez, José Antonio Seoane Fernández, Gloria Bueno García, 2014, Comput. Methods Programs Biomed..

Texture classification using feature selection and kernel-based techniques

Carlos Fernandez-Lozano, Tom R. Gaunt, Marcos Gestal, 2015, Soft Computing.

Bio-AIMS Chemoinformatics Web Tools for Proteins

Carlos Fernandez-Lozano, Cristian R. Munteanu, José Antonio Seoane Fernández, 2015 .

RRegrs: an R package for computer-aided model selection with multiple regression models

Egon L. Willighagen, Georgia Tsiliki, Carlos Fernandez-Lozano, 2015, Journal of Cheminformatics.

Using a Random Forest proximity measure for variable importance stratification in genotypic data

Colin Campbell, Tom R. Gaunt, José Antonio Seoane Fernández, 2014, IWBBIO.

Classification of EEG signals using relative wavelet energy and artificial neural networks

Daniel Rivero, José Antonio Seoane Fernández, Ling Guo, 2009, GEC '09.

Anonymizing Patient Genomic Data for Public Sharing Association Studies

Carlos Fernandez-Lozano, Alejandro Pazos, Julian Dorado, 2013, MedInfo.

Texture Classification Using Kernel-Based Techniques

Carlos Fernandez-Lozano, Tom R. Gaunt, Marcos Gestal, 2013, IWANN.

Dynamics of breast cancer relapse reveal late recurring ER-positive genomic subgroups

Bin Liu, José Antonio Seoane Fernández, Carlos Caldas, 2019, Nature.

Motion estimation in real deformation processes based on block-matching techniques

Carlos Fernandez-Lozano, Alvaro Rodríguez, Juan R. Rabuñal, 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

A pathway-based data integration framework for prediction of disease progression

Colin Campbell, Tom R. Gaunt, José Antonio Seoane Fernández, 2013, Bioinform..

Spot matching in 2D electrophoresis experiments

Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Alvaro Rodriguez-Tajes, 2013, Int. J. Data Anal. Tech. Strateg..

Analysis of Deformation Processes using Block-matching Techniques

Carlos Fernandez-Lozano, Alvaro Rodríguez, Juan R. Rabuñal, 2012, VISAPP.

Ontologies and Processing Patterns for Microarrays

Julian Dorado, José Antonio Seoane Fernández, Mónica Miguélez Rico, 2009, Encyclopedia of Artificial Intelligence.

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics

Stefano Cagnoni, Carlos Fernandez-Lozano, Youssef S. G. Nashed, 2013, BIOSTEC.

A Block-matching based technique for the analysis of 2D gel images

Alvaro Rodríguez, José Antonio Seoane Fernández, Guillermo López-Campos, 2010, MedInfo.

A Random Forest proximity matrix as a new measure for gene annotation

Colin Campbell, Tom R. Gaunt, José Antonio Seoane Fernández, 2014, ESANN.

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms

Daniel Rivero, Carlos Fernandez-Lozano, Marcos Gestal, 2013, VISAPP.

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models

Carlos Fernandez-Lozano, Enrique Fernández-Blanco, Cristian R. Munteanu, 2015, Journal of theoretical biology.

Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data

Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Guillermo López-Campos, 2021, MIE.

Bio-Inspired Algorithms in Bioinformatics I

José Antonio Seoane Fernández, Mónica Miguélez Rico, José Seoane Fernández, 2009, Encyclopedia of Artificial Intelligence.