Lista de obras - Marcos Gestal - Dominio Público Uruguay

A Soft Computing Overview

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

artículo científico publicado en 2016

Applied computational techniques on schizophrenia using genetic mutations

artículo científico publicado en 2013

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

scholarly article by Pablo Seoane et al published 2012 in Advances in Intelligent and Soft Computing

Automatic Generation of Biped Walk Behavior Using Genetic Algorithms

artículo científico publicado en 2009

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

scholarly article by J.C. Bregains et al published August 2002 in IEEE Antennas and Propagation Magazine

CHAPTER 6. Multivariate Regression using Artificial Neural Networks and Support Vector Machines

scholarly article

Chemically driven variable selection by focused multimodal genetic algorithms in mid-IR spectra.

artículo científico publicado en 2007

Classification of apple beverages using artificial neural networks with previous variable selection

article

Classification of signals by means of Genetic Programming

Developing a Secure Low-Cost Radon Monitoring System

artículo científico publicado en 2020

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

scholarly article by Marcos Gestal et al published 7 June 2018 in Advances in Intelligent Systems and Computing

Evolutionary computation and QSAR research

artículo científico publicado en 2013

Exploring patterns of epigenetic information with data mining techniques.

artículo científico publicado en 2013

High Order Texture-Based Analysis in Biomedical Images

Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification

artículo científico publicado en 2013

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

scientific article published on 05 September 2019

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

artículo científico publicado en 2014

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

artículo científico publicado en 2013

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

artículo científico publicado en 2012

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

scholarly article by M.P. Gómez-Carracedo et al published June 2007 in Chemometrics and Intelligent Laboratory Systems

Markov mean properties for cell death-related protein classification

artículo científico publicado en 2014

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

artículo científico

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

artículo científico publicado en 2020

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

scholarly article by Marcos Gestal et al published 26 January 2005 in Applied Artificial Intelligence

Soft Computing Methods for Practical Environment Solutions

Texture Classification Using Kernel-Based Techniques

artículo científico publicado en 2013

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

artículo científico publicado en 2016

Texture classification using feature selection and kernel-based techniques

article published in 2015

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

article

Lista de obras de Marcos Gestal

A Soft Computing Overview

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

Applied computational techniques on schizophrenia using genetic mutations

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

Automatic Generation of Biped Walk Behavior Using Genetic Algorithms

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

CHAPTER 6. Multivariate Regression using Artificial Neural Networks and Support Vector Machines

Chemically driven variable selection by focused multimodal genetic algorithms in mid-IR spectra.

Classification of apple beverages using artificial neural networks with previous variable selection

Classification of signals by means of Genetic Programming

Developing a Secure Low-Cost Radon Monitoring System

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

Evolutionary computation and QSAR research

Exploring patterns of epigenetic information with data mining techniques.

High Order Texture-Based Analysis in Biomedical Images

Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

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

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

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

Markov mean properties for cell death-related protein classification

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

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

Soft Computing Methods for Practical Environment Solutions

Texture Classification Using Kernel-Based Techniques

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

Texture classification using feature selection and kernel-based techniques

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

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