Marcos Gestal

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Finding Multiple Solutions with GA in Multimodal Problems

Marcos Gestal, María Paz Gómez-Carracedo, 2009, Encyclopedia of Artificial Intelligence.

Automatic Generation of Biped Walk Behavior Using Genetic Algorithms

Luís Paulo Reis, Nuno Lau, Ana Maria Tomé, 2009, IWANN.

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Marcos Gestal, Nieves Pedreira, Alejandro Pazos, 2019, International journal of molecular sciences.

Evolutionary computation and QSAR research.

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

Distributed genetic programming by an object oriented system using java and corba

Daniel Rivero, Miguel Varela, Juan R. Rabuñal, 2004, Parallel and Distributed Computing and Networks.

Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research

Carlos Fernandez-Lozano, Julian Dorado, Marcos Gestal, 2019, Learning and Analytics in Intelligent Systems.

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..

Neural Networks & Antennas Design: An Application for Avoiding Interferences

Julian Dorado, Marcos Gestal, Juan Antonio Rodríguez, 2003, IWANN.

Genetic Algorithms in Multimodal Search Space

Julian Dorado, Marcos Gestal, 2009 .

Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification

Daniel Rivero, Marcos Gestal, Vanessa Aguiar-Pulido, 2013, Int. J. Data Min. Model. Manag..

Texture classification using feature selection and kernel-based techniques

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

Fish Tracking with Computer Vision Techniques: An Application to Vertical Slot Fishways

Juan R. Rabuñal, Marcos Gestal, Angel Jose Rico-Diaz, 2017 .

An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks

Juan R. Rabuñal, Jerónimo Puertas, Marcos Gestal, 2020, Water.

Texture analysis in gel electrophoresis images using an integrative kernel-based approach

Carlos Fernandez-Lozano, Julian Dorado, Tom R. Gaunt, 2016, Scientific Reports.

A Proposal about Normalization of Experimental Designs in Computational Intelligence

Carlos Fernandez-Lozano, Julian Dorado, Marcos Gestal, 2015 .

Texture Classification Using Kernel-Based Techniques

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

Genetic Programming: key concepts and examples: A brief tutorial on Genetic Programming

Daniel Rivero, Marcos Gestal, Juan Ramn Rabual, 2011 .

A Computational Morphogenesis Approach to Simple Structure Development

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

A Soft Computing Overview: Artificial Neural Networks and Evolutionary Computation

Daniel Rivero, Marcos Gestal, M. Gestal, 2010 .

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

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

Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction

Juan R. Rabuñal, Cristian R. Munteanu, Marcos Gestal, 2020, Applied Sciences.

Description of ranns and their generalisation capabilities by means of rule extraction by genetic programming

Javier Pereira, Juan R. Rabuñal, Julian Dorado, 2006, Artificial Intelligence and Soft Computing.

Basics of Web Application Design - An Example-based Learning Approach

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2010, CSEDU.

Evolutionary Approaches to Variable Selection

José Manuel Andrade, Marcos Gestal, 2009, Encyclopedia of Artificial Intelligence.

Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development

Juan R. Rabuñal, Julian Dorado, Marcos Gestal, 2005, IWANN.

A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, 2007, IWANN.

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.

Developing a Secure Low-Cost Radon Monitoring System

Marcos Gestal, Julián Dorado, Alberto Alvarellos, 2020, Sensors.

Machine Learning in Biomedical Informatics

Victor Maojo, Carlos Fernandez-Lozano, Cristian R. Munteanu, 2014 .

LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria.

Marcos Gestal, Alejandro Pazos, Cristian R Munteanu, 2012, Molecular bioSystems.

Avoiding interference in planar arrays through the use of artificial neural networks

Alejandro Pazos, J. A. Rodriguez, Julian Dorado, 2002 .

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

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

Introduction to Informatics for Future Documentalists in the European Higher Education Area

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2012, CSEDU.

Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey

Julian Dorado, Marcos Gestal, Pablo Seoane, 2012, Int. J. Interact. Multim. Artif. Intell..

Computational morphogenesis applied to 2D structures generation

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

Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils

Daniel Rivero, Carlos Fernandez-Lozano, Alejandro Pazos, 2016 .

Implementing a Web Application for W3C WebAuthn Protocol Testing

Marcos Gestal, José M. Vázquez-Naya, Martiño Rivera Dourado, 2020 .

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.

Example-based learning: development of business applications witn .Net technologies

Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, 2015 .

Genetic Algorithms and Multimodal Search

Norberto F. Ezquerra, Marcos Gestal, José Manuel Vázquez Naya, 2009 .

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

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

Building the European Higher Education Area - A Subject in Information Systems Security

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2009, CSEDU.

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.

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

Carlos Fernandez-Lozano, Cristian Robert Munteanu, Marcos Gestal, 2013, Current topics in medicinal chemistry.

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

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

Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, 2012, DCAI.

Exploring patterns of epigenetic information with data mining techniques.

Marcos Gestal, Vanessa Aguiar-Pulido, Julián Dorado, 2012, Current pharmaceutical design.

Markov mean properties for cell death-related protein classification.

Carlos Fernandez-Lozano, Marcos Gestal, Alejandro Pazos, 2014, Journal of theoretical biology.