Julian Dorado

发表

Graph-Based Processing of Macromolecular Information

Cristian R. Munteanu, Javier Pereira, Vanessa Aguiar-Pulido, 2015 .

Evolutionary computation and QSAR research.

Maykel Cruz-Monteagudo, Marcos Gestal, Julian Dorado, 2013, Current computer-aided drug design.

Using recurrent ANNs for the detection of epileptic seizures in EEG signals

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

SELECTION OF VARIABLES BY GENETIC ALGORITHMS TO CLASSIFY APPLE BEVERAGES BY ARTIFICIAL NEURAL NETWORKS

José Manuel Andrade, M. P. Gómez-Carracedo, Marcos Gestal, 2005, Appl. Artif. Intell..

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.

SNP locator: a candidate SNP selection tool

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

From chemical graphs in computer-aided drug design to general Markov-Galvez indices of drug-target, proteome, drug-parasitic disease, technological, and social-legal networks.

Aliuska Duardo-Sanchez, Julian Dorado, Cristian R Munteanu, 2011, Current computer-aided drug design.

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.

Clustering of Gene Expression Profiles Applied to Marine Research

Daniel Rivero, Vanessa Aguiar-Pulido, Julian Dorado, 2013, IWANN.

Classification of Two-channel Signals by Means of Genetic Programming

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2015, GECCO.

A Computational Morphogenesis Approach to Simple Structure Development

Enrique Fernández-Blanco, Juan R. Rabuñal, Marcos Gestal, 2007, ECAL.

Artificial Cells for Information Processing: Iris Classification

Daniel Rivero, Enrique Fernández-Blanco, Jose A. Serantes, 2009, ECAL.

Biomedical data integration in computational drug design and bioinformatics.

Daniel Rivero, Vanessa Aguiar-Pulido, Alejandro Pazos, 2013, Current computer-aided drug design.

A methodology for the design of experiments in computational intelligence with multiple regression models

Carlos Fernandez-Lozano, Cristian R. Munteanu, Marcos Gestal, 2016, PeerJ.

Analysis of Medical Diagnostic Images via the Implementation and Access to a Safe DICOM PACS with a Web Interface: Analysis of Contrast-Enhanced CT Imaging of Oral and Oropharyngeal Carcinomas

Antonino Santos, Alejandro Pazos, Julian Dorado, 2001, ISMDA.

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 Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications pdf

Norberto F. Ezquerra, Daniel Rivero, Carlos Fernandez-Lozano, 2015, ArXiv.

A new signal classification technique by means of Genetic Algorithms and kNN

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Prediction of druggable proteins using machine learning and functional enrichment analysis: a focus on cancer-related proteins and RNA-binding proteins

Cristian R. Munteanu, Eduardo Tejera, Alejandro Cabrera-Andrade, 2019, bioRxiv.

Integrative multi-omics data-driven approach for metastasis prediction in cancer

Carlos Fernandez-Lozano, Marcos Gestal, Julian Dorado, 2018 .

Software Tool to Build Brain Computational Models through Internet

Guillermo Rodríguez-Ortiz, Alejandro Pazos, Julian Dorado, 2009, BIOCOMP.

Artificial Cell Model Used for Information Processing

Enrique Fernández-Blanco, Jose A. Serantes, Nieves Pedreira, 2010 .

Analysis of Deformation Processes using Block-matching Techniques

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

Computational morphogenesis applied to 2D structures generation

Enrique Fernández-Blanco, Juan R. Rabuñal, Marcos Gestal, 2006 .

Classification of signals by means of Genetic Programming

Daniel Rivero, Enrique Fernández-Blanco, Marcos Gestal, 2013, Soft Computing.

Evaluation as a Continuous Improvement Process in the Learning of Programming Languages

Carlos Fernandez-Lozano, Juan R. Rabuñal, Cristian R. Munteanu, 2018, SOCO-CISIS-ICEUTE.

2011 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011, Bilbao, Spain, December 14-17, 2011

Carlos Fernandez-Lozano, Juan R. Rabuñal, Julian Dorado, 2011, IEEE International Symposium on Signal Processing and Information Technology.

A Genetic Algorithm for ANN Design, Training and Simplification

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2009, IWANN.

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

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

Two-population Genetic Algorithm - An Approach to Improve the Population Diversity

Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, 2010, ICAART.

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

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

A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems

Juan R. Rabuñal, Alejandro Pazos, Julian Dorado, 2007, Neurocomputing.

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.

Linking chemical knowledge and genetic algorithms using two populations and focused multimodal search

M. P. Gómez-Carracedo, Marcos Gestal, Julian Dorado, 2007 .

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.